One of the highlights of my career has always been connecting with customers and partners across industries to learn how they are using technology to drive their businesses forward. In the past 30 years, we’ve seen four major platform shifts, from client server to internet and the web to mobile and cloud to now—the next major platform shift to AI.

As today’s platform shift to AI continues to gain momentum, Microsoft is working to understand just how organizations can drive lasting business value. We recently commissioned a study with IDC, The Business Opportunity of AI, to uncover new insights around business value and help guide organizations on their journey of AI transformation. The study found that for every $1 organizations invest in generative AI, they’re realizing an average of 3.7x return—and uncovered insights about the future potential of AI to reshape business processes and drive change across industries. 

Today, more than 85% of the Fortune 500 are using Microsoft AI solutions to shape their future. In working with organizations large and small, across every industry and geography, we’ve seen that most transformation initiatives are designed to achieve one of four business outcomes:

1. Enriching employee experiences: Using AI to streamline or automate repetitive, mundane tasks can allow your employees to dive into more complex, creative, and ultimately more valuable work.
2. Reinventing customer engagement: AI can create more personalized, tailored customer experiences, delighting your target audiences while lightening the load for employees.
3. Reshaping business processes: Virtually any business process can be reimagined with AI, from marketing to supply chain operations to finance, and AI is even allowing organizations to go beyond process optimization and discover exciting new growth opportunities.
4. Bending the curve on innovation: AI is revolutionizing innovation by speeding up creative processes and product development, reducing the time to market and allowing companies to differentiate in an often crowded field.

In this blog, we’ve collected more than 200 of our favorite real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. We hope you find an example or two that can inspire your own transformation journey.

IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024 

Enriching employee experiences

Generative AI is truly transforming employee productivity and well-being. Our customers tell us that by automating repetitive, mundane tasks, employees are freed up to dive into more complex and creative work. This shift not only makes the work environment more stimulating but also boosts job satisfaction. It sparks innovation, provides actionable insights for better decision-making, and supports personalized training and development opportunities, all contributing to a better work-life balance. Customers around the world have reported significant improvements in employee productivity with these AI solutions:

1. Access Holdings Plc adopted Microsoft 365 Copilot, integrating generative AI into daily tools and, as a result, writing code now takes two hours instead of eight, chatbots launch in 10 days instead of three months, and presentations are prepared in 45 minutes instead of six hours.
2. Adobe is connecting Adobe Experience Cloud workflows and insights with Microsoft 365 Copilot to deliver generative AI-powered capabilities that enable marketers to increase collaboration, efficiency, and creativity.
3. Amadeus empowers its teams to focus their time and skills on value-added tasks with Microsoft 365 Copilot by summarizing email threads, chat, or transcripts, and summing up information from diverse sources.
4. ANZ has invested in Microsoft 365 Copilot, GitHub Copilot, and Copilot in Microsoft Edge to boost productivity and innovation across its workforce. 
5. Asahi Europe & International (AEI) has adopted Microsoft 365 Copilot, saving employees potentially 15% of time previously spent on administrative tasks.
6. AXA developed AXA Secure GPT, a platform powered by Azure OpenAI Service that empowers employees to leverage the power of generative AI while targeting the highest level of data safety and responsible use of the tool.
7. Axon Enterprise developed a new AI tool with Azure OpenAI Service called Draft One, resulting in an 82% decrease in time spent on reports, which freed up officers to engage more with their community.
8. Aztec Group enhanced productivity and client experience by trialing Microsoft 365 Copilot with 300 staff, uncovering “unlimited” use cases and plans for a wider rollout.
9. Bader Sultan & Bros. Co. W.L.L implemented Microsoft 365 Copilot to enhance employee productivity and speed up customer response times.
10. Bancolombia is using GitHub Copilot to empower its technical team, achieving a 30% increase in code generation, boosting automated application changes to an average of 18,000 per year, with a rate of 42 productive daily deployments. 
11. BaptistCare Community Services is using Microsoft 365 Copilot to save employees time as they navigate workforce shortage challenges allowing them to focus more on the people they care for.
12. Barnsley Council was recognized as “Double Council of the Year in 2023” for its implementation of Microsoft 365 Copilot, which modernized operations and reduced administrative tasks, leading to improved job satisfaction and increased creativity.
13. BlackRock purchased more than 24,000 Microsoft 365 Copilot licenses spanning all employees, functions, and locations, helping improve the Copilot experience, including co-developing new features and functions.
14. British Heart Foundation is testing Microsoft 365 Copilot and in its initial test, users estimate that Microsoft 365 Copilot could save them up to 30 minutes per day.
15. Buckinghamshire Council deployed Microsoft 365 Copilot with staff reporting productivity improvements, quality enhancements, and time savings which are enabling the different teams to do more with less. 
16. Campari Group adopted Microsoft 365 Copilot to help employees integrate it into their workflow, resulting in time savings of about two hours a week from the support of routine activities such as email management, meeting preparation, content creation, and skill acquisition.
17. Capita is using GitHub Copilot for productivity improvements as well as improvements in developer satisfaction, recruitment, and retention.
18. CDW used Microsoft 365 Copilot to improve work quality for 88% of users, enabling 77% to complete tasks faster, and increasing productivity for 85% of users.
19. Chi Mei Medical Center is lightening workloads for doctors, nurses, and pharmacists with a generative AI assistant built on Azure OpenAI Service. 
20. E.ON is focused on Germany’s energy transition, leveraging Microsoft 365 Copilot to manage the complex grid in real-time, increasing productivity and efficiency for its workforce.
21. Enerijisa Üretim has adopted Microsoft 365 Copilot to streamline meeting summaries, reformat documents, and compile reports, enabling employees to concentrate on more strategic and fulfilling activities instead of spending six hours in meetings.
22. EPAM is deploying Microsoft 365 Copilot to consolidate information and generate content and documents. 
23. Farm Credit Canada implemented Microsoft 365 Copilot which resulted in time savings on routine tasks for 78% of users, with 30% saving 30 to 60 minutes per week and 35% saving over an hour per week, allowing employees to focus on more value-added tasks.
24. Finastra used Microsoft 365 Copilot to automate tasks, enhance content creation, improve analytics, and personalize customer interactions, with employees citing a 20% to 50% time savings.
25. Four Agency Worldwide increased employee productivity using Microsoft 365 Copilot to generate ideas for creative work and support administrative-heavy processes, data analysis, and report generation, allowing staff to focus on outreach and less time doing paperwork.
26. Goodwill of Orange County developed an AI-powered app using Azure AI capabilities to help more people, including those with developmental, intellectual, and physical disabilities, work in unfilled e-commerce positions.
27. Honeywell employees are saving 92 minutes per week—that’s 74 hours a year! Disclaimer: Statistics are from an internal Honeywell survey of 5,000 employees where 611 employees responded.
28. Insight employees using Copilot are seeing four hours of productivity gained per week from data summarization and content creation.
29. Joos uses Microsoft 365 Copilot to grow its brand with worldwide collaboration by streamlining meetings, optimizing presentations, and improving communications.
30. Kantar is harnessing the power of Microsoft 365 Copilot by reducing costly, time-consuming IT processes and boosting productivity for employees.
31. KPMG Australia is using Microsoft Azure OpenAI Service, Azure AI Search, and Microsoft 365 Copilot to perform advanced text analysis of dozens of client source documents to identify full or partial compliance, or noncompliance, in a fraction of the time required for manual assessments.
32. LGT is launching Microsoft Copilot LGT to improve efficiency, showing users save an average of an hour a week even in the pilot phase. 
33. Lotte Hotels & Resorts has been creating a new work culture that allows employees to work more efficiently and focus on the nature of the work by adopting Microsoft Power Platform for automation.
34. MAIRE is leveraging Microsoft 365 Copilot to automate routine tasks, saving more than 800 working hours per month, freeing up engineers and professionals for strategic activities while supporting MAIRE’s green energy transition by reducing their carbon footprint.
35. McDonald’s China chose Microsoft Azure AI, GitHub Copilot, and Azure AI Search to transform its operations, resulting in a significant increase in AI adoption, consumption, and retention from 2,000 to 30,000 employee transactions monthly.
36. McKnight Foundation adopted Microsoft 365 Copilot for all staff, saving time, increasing productivity, and freeing space to focus on strategic priorities.
37. Morula Health is using Microsoft 365 Copilot to enhance productivity, streamline medical writing tasks, and ensure data security, ultimately improving efficiency and client satisfaction. 
38. Motor Oil Group is achieving remarkable efficiency gains by integrating Microsoft 365 Copilot into its workflows, with staff spending minutes on tasks that used to take weeks. 
39. Nagel-Group uses Azure OpenAI Service to help employees quickly access information which saves time, creates efficiency and transparency, and leads to higher-quality answers overall.
40. National Australia Bank is leveraging Microsoft 365 Copilot for daily productivity and data analysis and insights and Microsoft Security Copilot to quickly analyze millions of security event logs and allow engineers to focus on more important areas.
41. NFL Players Association integrated Azure AI Services and Azure App Service into their video review process, reducing review time by up to 73%, significantly increasing efficiency and enhancing player safety through consistent rule enforcement.
42. O2 Czech Republic boosts productivity and streamlines meetings with Microsoft 365 Copilot, revolutionizing how information is shared and making automation a part of daily work.
43. Onepoint developed a secure conversational agent based on Azure OpenAI Service, which delivers productivity gains of between 10% and 15% across all business lines.
44. Orange Group has more than 40 use cases with Azure OpenAI Service and GitHub Copilot across business functions to support employees in their day-to-day tasks, enabling them to concentrate on higher value-added activities.
45. Oxford University Hospitals NHS Foundation Trust implemented Microsoft 365 Copilot to improve staff report productivity by saving one to two hours a week, or simple formatting tasks down to a matter of seconds, enabling more resources to deliver frontline services.
46. PA Consulting transformed its sales operations with Microsoft 365 Copilot, so its people can invest more time on the activities that have the biggest impact for clients and maximize the strategic value they provide. 
47. Petrobras used Azure OpenAI Service to create ChatPetrobras, which is streamlining workflows, reducing manual tasks, and summarizing reports for its 110,000 employees.
48. Petrochemical Industries Company automates work processes to save time with Microsoft 365 Copilot from weeks to days, hours to seconds.
49. PKSHA Technology is optimizing their time on critical work by increasing efficiency in meeting preparations, data analytics, and ideation with the help of Microsoft 365 Copilot.
50. Providence has collaborated with Nuance and Microsoft to accelerate development and adoption of generative AI-powered applications, helping improve care quality and access, and reduce physician’s administrative workloads. 
51. RTI International adopted Microsoft 365 Copilot to gain productivity wherever possible, allowing staff to focus on their areas of expertise, delivering even better science-backed solutions for clients.
52. Sandvik Coromant is using Microsoft 365 Copilot for Sales to drive efficiency and accuracy, shaving at least one minute off each transaction, allowing sellers and account managers to focus their expertise on responding to customers’ needs with analysis, creativity, and adaptability.
53. Sasfin Bank built a solution on Microsoft Azure that centralized 20,000 documents to analyze contract clauses and provide real-time snapshots, moving guesswork into data-driven decision-making.
54. Scottish Water implemented Microsoft 365 Copilot reducing mundane tasks to a minimum, and thus freeing up time for employees to work on the more meaningful tasks.
55. Shriners Children’s developed an AI platform allowing clinicians to easily and securely navigate patient data in a singular location, enhancing patient care, and improving the efficiency of their healthcare services. 
56. Siemens is leveraging Azure OpenAI Service to improve efficiency, cut downtime, and address labor shortages.
57. Softchoice employees are experiencing firsthand how Microsoft 365 Copilot can transform daily workflows, realizing productivity gains of 97% reduction in time spent summarizing technical meetings and up to 70% less time spent on content creation.
58. Syensqo utilized Azure OpenAI Service to develop a custom AI chatbot in three months, which improved their internal data management, decision-making, and overall efficiency.
59. Teladoc Health uses Microsoft 365 Copilot to revolutionize its telehealth operations, automating routine tasks, boosting efficiency, and increasing productivity.
60. Telstra developed two cutting-edge generative AI tools based on Azure OpenAI Service: 90% of employees are using the One Sentence Summary tool which resulted in 20% less follow-up customer contact and 84% of customer service agents using the Ask Telstra solution.
61. Topsoe achieved 85% AI adoption among office employees in seven months, significantly enhancing productivity and business processes.
62. Torfaen County Borough Council utilized Microsoft 365 Copilot to streamline back-office processes, resulting in significant time savings and enhanced productivity for both business and children’s services teams, with further rollouts planned.
63. Trace3 leveraged Microsoft 365 Copilot to streamline and enhance processes across the business and with clients, such as reducing the time it takes human resources (HR) recruiting managers to respond to applicants within a couple of days instead of several weeks.
64. Unilever is reinventing their marketing process with Copilot, saving time on briefing tasks, automatically pulling in relevant market data, content and insights to accelerate campaign launches. 
65. Uniper SE implemented Microsoft 365 Copilot to reduce time spent on manual and repetitive tasks, and help workers focus on more pressing work, such as developing enhanced solutions to speed up the energy transition.
66. Unum Group built a custom AI application to search 1.3 terabytes of data with 95% accuracy using Azure OpenAI Service. 
67. Virgin Atlantic adopted Microsoft 365 Copilot and GitHub Copilot and is seeing real business benefits, including productivity improvements, enabling new ways of working.
68. Visier built a generative AI assistant that leverages Azure AI and Azure OpenAI Services to deliver workforce analytics and actionable insights for more than 50,000 customers.
69. Virtual Dental Care developed an AI application Smart Scan that leverages Azure to reduce paperwork for mobile dental clinics in schools by 75% and frees dentists to devote more time to patient care.
70. Zakladni Skola As Hlavkova adopted Microsoft 365 Copilot and saw a 60% improvement in handling administrative documents, decreased lesson preparation from hours to few minutes, increased inclusivity, and enhanced communication with students and parents.

Reinventing customer engagement

We’ve seen great examples of how generative AI can automate content creation, ensuring there’s fresh and engaging materials ready to go. It personalizes customer experiences by crunching the numbers and boosting conversion rates. It makes operations smoother, helping teams launch campaigns faster. Plus, it drives innovation, crafting experiences that delight customers while lightening the load for staff. Embracing generative AI is key for organizations wanting to reinvent customer engagements, stay ahead of the game, and drive both innovation and efficiency.

71. Absa has adopted Microsoft Copilot to streamline various business processes, saving several hours on administrative tasks each day.
72. Adobe leverages Azure to streamline the customer experience, harnessing the power of the connected cloud services and creating a synergy that drives AI transformation across industries.
73. Acentra Health developed Medscribe, a web application that uses Azure OpenAI Service to generate draft letters in a secure, HIPAA-compliant enclave that responds to customer appeals for healthcare services within 24 hours, reducing the time spent on each appeal letter by 50%.
74. Alaska Airlines is using Azure, Microsoft Defender, and GitHub to ensure its passengers have a seamless journey from ticket purchase to baggage pickup and started leveraging Azure OpenAI Service to unlock more business value for its customer care and contact centers.
75. Ally Financial is using Azure OpenAI Service to reduce manual tasks for its customer service associates, freeing up time for them to engage with customers. 
76. BMW Group optimizes the customer experience connecting 13 million active users to their vehicles with the MyBMW app on Azure, which supports 450 million daily requests and 3.2 terabyte (TB) data processing.
77. Boyner has tripled its e-commerce performance using Azure, seeing a rise in customer satisfaction, engagement, conversion rate, and revenue.
78. Bradesco Bank integrated Azure to its virtual assistant, BIA, resulting in reduced response time from days to hours, improving operational efficiency and client satisfaction.
79. Capgemini Mexico integrated GitHub Copilot to support scalable AI implementations which has led to improved customer experiences and increased efficiency.
80. Capitec Bank uses Azure OpenAI Service and Microsoft 365 Copilot, enabling their AI-powered chatbot to assist customer service consultants in accessing product information more efficiently, saving significant time for employees each week.
81. Cdiscount is leveraging GitHub Copilot and Azure OpenAI Service to enhance developer efficiency, optimize product sheet categorization, and improve customer satisfaction.
82. Cemex used Azure OpenAI Service to launch Technical Xpert, an AI tool used by sales agents to provide instant access to comprehensive product and customer solution information, significantly reducing search time by 80%. 
83. Chanel elevated their client experience and improved employee efficiency by leveraging Microsoft Fabric and Azure OpenAI Service for real-time translations and quality monitoring.
84. City of Burlington created two AI-powered solutions: MyFiles system using Microsoft Power Platform for building permits, and CoBy, an around-the-clock customer support assistant using Microsoft Copilot Studio.
85. City of Madrid created an AI virtual assistant with Azure OpenAI Service offering tourists accurate, real-time information and personalized responses in more than 95 languages.
86. Cognizant is making performance management more effective and meaningful with Azure Machine Learning to help clients across industries envision, build, and run innovative digital enterprises.
87. Coles Group has leveraged Azure to enhance its digital presence and improve customer engagement, rolling out new applications to its stores six times faster without disrupting workloads.
88. Commercial Bank of Dubai used Azure to upgrade its application infrastructure, improving transaction security and speed so individual customers can now open an account and start banking in about two minutes.
89. Dubai Electricity and Water Authority has significantly improved productivity and customer satisfaction by integrating multiple Microsoft AI solutions, reducing task completion time from days to hours and achieving a 98% customer happiness rate.
90. Elcome uses Microsoft 365 Copilot to improve the customer experience, reducing response times from 24 hours to eight hours.
91. elunic developed shopfloor.GPT based on Azure OpenAI Service, leading to increased productivity for customers, saving 15 minutes per request.
92. Estée Lauder Companies is leveraging Azure OpenAI Service to create closer consumer connections and increase speed to market with local relevancy.
93. First National Bank (FNB) is using Microsoft 365 Copilot for Sales to help bankers create professional, thoughtful emails in 13 native South African languages to enhance customer interactions, streamline communications, and reinforce its commitment to innovation and customer service. 
94. Flora Food Group migrated to Microsoft Fabric to offer more detailed and timely insights to its customers, enhancing service delivery and customer satisfaction.
95. Groupama deployed a virtual assistant using Azure OpenAI Service that delivers reliable, verified and verifiable information, and boasts an 80% success rate.
96. International University of Applied Sciences (IU) adopted Azure OpenAI Service to revolutionize learning with a personalized study assistant that can interact with each student just like a human would.
97. Investec is using Microsoft 365 Copilot for Sales to enhance the bank’s client relationships, estimating saving approximately 200 hours annually ultimately boosting sales productivity and delivering personalized, seamless customer experience. 
98. Linum is using Azure to train their text-to-video models faster and more efficiently without losing performance or wasting resources.
99. Lumen Technologies is redefining customer success and sales processes through the strategic use of Microsoft 365 Copilot, enhancing productivity, sales, and customer service in the global communications sector.
100. McKinsey & Company is creating an agent to reduce client onboarding process by reducing lead time by 90% and administrative work by 30%.
101. Meesho leveraged Azure OpenAI Service and GitHub Copilot to enhance customer service and software development, resulting in a 25% increase in customer satisfaction scores and 40% more traffic on customer service queries.
102. Milpark Education integrated Microsoft Copilot and Copilot Studio and in just four months, improved efficiency and accuracy of student support, decreasing the average resolution time by 50% and escalations by more than 30%.
103. NC Fusion chose a comprehensive Microsoft solution to make marketing engagement activities easier and accurately target the best audience segments.
104. Medgate, a telehealth subsidiary of Otto Group, developed a medical Copilot powered by Azure OpenAI Service that summarizes consultations, supports triage, and provides real-time translations. 
105. Pacific Gas & Electric built a chatbot using Microsoft Copilot Studio that saves $1.1 million annually on helpdesk support. 
106. Pockyt is using GitHub Copilot and anticipates a 500% increase in productivity in the medium to long term as they continue adapting AI and fine-tuning their software development life cycle.
107. South Australia Department for Education launched an AI-powered educational chatbot to help safeguard students from harmful content while introducing responsible AI to the classrooms.
108. Sync Labs is using Azure to create AI-powered solutions that have led to a remarkable 30x increase in revenue and a 100x expansion of their customer base.
109. Syndigo is using Azure to accelerate digital commerce for its customers by more than 40% and expand its customer base.
110. Telkomsel created a virtual assistant with Azure OpenAI Service, resulting in a leap in customer self-service interactions from 19% to 45%, and call volume dropped from 8,000 calls to 1,000 calls a day.
111. Torrens University chose to use Azure OpenAI to uplift its online learning experience, saving 20,000 hours and $2.4 million in time and resources.
112. Trusting Social integrated Azure services to launch AI-driven agents that are changing how banks function and transforming their customer’s banking experience.
113. University of California, Berkeley used Azure OpenAI Service to deploy a custom AI chatbot that supports student learning and help students with complex coursework.
114. University of Sydney created a self-serve AI platform powered by Azure OpenAI Service, to enable faculty to build custom chatbots for enhancing student onboarding, feedback, career simulation, and more.
115. Van Lanschot Kempen is using Microsoft 365 Copilot to reduce the time needed for daily tasks, freeing up time to invest in that crucial personal connection.
116. Virgin Money built an award-winning virtual assistant using Copilot Studio to help build customers’ confidence in their digital products and services.
117. VOCALLS automates over 50 million interactions per year, resulting in a 78% reduction in average handling time aside from a 120% increase in answered calls.
118. Vodafone Group is leveraging Microsoft’s AI solutions, including Azure AI Studio, OpenAI Service, Copilot, and AI Search, to achieve a 70% resolution rate for customer inquiries through digital channels and reduce call times by at least one minute.
119. Walmart is using Azure OpenAI Service to deliver a helpful and intuitive browsing experience for customers designed to serve up a curated list of the personalized items a shopper is looking for.
120. Weights & Biases created a platform which runs on Azure that allows developers to keep records, log successes and failures, and automate manual tasks.
121. World2Meet is providing better customer service and operations with a new virtual assistant powered by Azure.
122. Xavier College is modernizing its student information systems on Microsoft Dynamics 365 and Azure to unlock powerful insights, fostering innovation and data-driven decision making.
123. Zavarovalnica Triglav implemented Dynamics 365 and Azure OpenAI Service to streamline its operations with automated responses and smart rerouting of customer enquiries.

Reshaping business processes

Transforming operations is another way generative AI is encouraging innovation and improving efficiency across various business functions. In marketing, it can create personalized content to truly engage different audiences. For supply chain management, it can predict market trends so companies can optimize their inventory levels. Human resources departments can speed up the hiring process, while financial services can use it for fraud detection and risk assessments. With generative AI, companies are not just refining their current processes, they’re also discovering exciting new growth opportunities.

124. Accelleron used Microsoft Power Platform to support numerous business applications and simplify processes for service agents and employees, resulting in the onboard of new agents in 30 minutes, compared to two days for other solutions.
125. Accenture developed an AI-powered financial advisor that leverages RISE with SAP on Azure to enhance their infrastructure and integrate financial data.
126. Atomicwork leverages Azure OpenAI to bring together three power capabilities: a conversational assistant, a modern service management system, and a workflow automation platform.
127. Blink Ops fully embraced generative AI to build the world’s first Security Automation Copilot with more than 8,000 automated workflows to help any Security/IT task through prompts.
128. Chalhoub Group is using Microsoft Fabric to modernize its data analytics and streamline its data sources into one platform, increasing agility, enhancing analytics, and accelerating processes.
129. Cineplex is developing innovative automation solutions for finance, guest services, and other departments, saving the company more than 30,000 hours a year in manual processing time.
130. ClearBank moved its services to Azure to gain scalability and efficiency, pushing out 183% more monthly system releases, gaining both scalability and efficiency.
131. Danske Statsbaner increases productivity up to 30% with help from Microsoft AI solutions.
132. Eastman implemented Microsoft Security Copilot realizing the benefits of accelerated upskilling, step-by-step guidance for response, and faster threat remediation.
133. Fast Shop migrated to Azure creating a self-service culture of access to data, eliminating delays, reducing costs, and increasing leadership satisfaction with data while providing more agility in reporting.
134. Florida Crystals adopted a value-added solution across Microsoft products including Microsoft 365 Copilot to reduce telecom expenses and automate industrial process controls.
135. GHD is reinventing the request for proposal (RFP) process in construction and engineering with Microsoft 365 Copilot.
136. GovDash is a software as a service (SaaS) platform that leverages AI to streamline the entire business development lifecycle for government contracting companies using Azure OpenAI Service.
137. Grupo Bimbo is deploying Microsoft’s industrial AI technologies to modernize its manufacturing processes, optimizing production and reducing downtime, driving significant cost savings, and empowering global innovation.
138. Insight Canada implemented Microsoft 365 Copilot to streamline business operations, realizing a 93% productivity gains in functions including sales, finance, and human resources.
139. Intesa Sanpaolo Group enhanced its cybersecurity with AI-enabled Microsoft Sentinel and Microsoft Security Copilot, resulting in faster threat detection, increased productivity, and reduced storage costs.
140. Kaya deployed a custom implementation of Dynamics 365 and Power BI to modernize its supply chain, leading to enhanced visibility, improved planning, and streamlined inter-department operations.
141. Lionbridge Technologies, LLC is using Azure and Azure OpenAI Service to accelerate its delivery times and improve quality, reducing project turnaround times by up to 30%.
142. LTIMindtree integrated Microsoft Security Copilot, offering automated incident response, integrated threat intelligence, and advanced threat analysis.
143. Mania de Churrasco used Azure, Microsoft Power Platform and Microsoft 365 to achieve high efficiency, security, and scalability in its operations, in addition to improving its data intelligence, which indirectly participated in a 20% increase in sales year on year.
144. National Bank of Greece built an Azure-powered Document AI solution to transform its document processing, improving the bank’s accuracy to 90%. 
145. Nest Bank has revolutionized its operations by integrating Microsoft 365 Copilot and Azure OpenAI Service, resulting in doubled sales and increased daily transactions from 60,000 to 80,000 showcasing the transformative impact of generative AI in the financial sector.
146. Network Rail modernized their data analytics solution with Azure, helping engineers understand data 50% faster than before and improve efficiency, passenger experiences, and safety—all while saving costs.
147. Nsure developed an AI-powered agent that uses Copilot Studio and Power Automate to reduce manual processing time by 60% while also reducing associated costs by 50%.
148. Oncoclínicas implemented Azure to transform its entire data ecosystem with a web portal and mobile application that performs all image processing and storage.
149. Pacífico Seguros has adopted Microsoft Security Copilot to optimize its security operations and anticipate and neutralize threats more efficiently and effectively.
150. Parexel adopted Azure Databricks and Power BI, achieving an 85% reduction in data engineering tooling costs, a 30% increase in staff efficiency, and a 70% reduction in time to market for data product delivery.
151. Paysafe used Microsoft 365 Copilot to streamline meetings, information management, and document creation, addressing language barriers, eliminating time-consuming tasks, and boosting creativity along the way.
152. Planted is integrating Azure OpenAI Service to manage everyday tasks more efficiently and facilitate the search for information for innovative process development.
153. Presidio realized dramatic productivity gains saving 1,200 hours per month on average for the employees using Microsoft 365 Copilot and created 70 new business opportunities.
154. Qatar Charity used Copilot Studio to increase its call center efficiency, reducing average handle time by 30%, increased customer satisfaction by 25%, and achieved a 40% reduction in IT maintenance costs.
155. Saphyre uses Azure and AI to provide an intelligent cloud-based solution that automates and streamlines financial trading workflows around client and counterparty life cycle management, reducing manual efforts by 75%. 
156. Swiss International Air Lines migrated and modernized with Azure, achieving up to 30% cost savings, a remarkable boost in platform stability along with enhanced security visibility.
157. ZEISS Group uses Microsoft Fabric to create a secure and trusted data supply chain that can be shared effortlessly across a range of business units.
158. ZF Group builds manufacturing efficiency with more than 25,000 apps and 37,000 unique active users on Microsoft Power Platform.

Bending the curve on innovation

Generative AI is revolutionizing innovation by speeding up creative processes and product development. It’s helping companies come up with new ideas, design prototypes, and iterate quickly, cutting down the time it takes to get to market. In the automotive industry, it’s designing more efficient vehicles, while in pharmaceuticals, it’s crafting new drug molecules, slashing years off research and development (R&D) times. In education, it transforms how students learn and achieve their goals. Here are more examples of how companies are embracing generative AI to shape the future of innovation.

159. Air India has incorporated Microsoft 365 Copilot into multiple departments, unlocking a new realm of operational insights that not only provides critical data on flight punctuality and operational hurdles, but also empowers proactive, collaborative decision making.
160. Agnostic Intelligence deployed Azure OpenAI Service to eliminate time-consuming tasks, saving users up to 80% of their time, and enabling IT managers to focus on innovation and quality assurance.
161. Albert Heijn is using Azure OpenAI Service for everything from customer personalization to demand forecast and food waste projects, making it easier for its customers to change their lifestyle.
162. Amgen is using Microsoft 365 Copilot to boost productivity and has the potential to speed up drug development and support advancements in their business processes.
163. APEC leverages Azure and deep neural network algorithms to develop an app that enables healthcare providers to capture retinal images, increasing the accuracy to identify Retinopathy of Prematurity (RoP) to 90%.
164. ASOS is using Azure AI Studio to help customers discover new looks with genuine shopping insights, personalized conversations, naturalism, and even humor to enliven the shopping journey.
165. Auburn University is incorporating Microsoft Copilot to promote AI literacy, accessibility, and collaboration, with the aim to expand educational and economic opportunities for its entire academic community with AI-centric tools.
166. B3 launched an AI assistant using Azure OpenAI Service that aids 10,000 users a day to answer Brazilians’ questions about how to start investing.
167. Basecamp Research aims to build the world’s largest database of national biodiversity and apply AI and machine learning to advance bioscience.
168. Bayer is using Microsoft Copilot to contribute to feeding a growing global population and helping people lead healthier, disease-free lives.
169. Brembo leveraged Azure OpenAI Service to develop ALCHEMIX, a solution to generate innovative compounds for its brake pads, drastically reducing the development time of new compounds from days to mere minutes.
170. Canary Speech can now train new vocal models in as little as two months and handle millions of transactions per month with Azure. 
171. CapitaLand simplified internal processes increasing efficiency to more than 10,000 man-days saved per year and deployed Azure OpenAI Service to build the first AI hospitality chatbot for its lodging business.
172. Cassidy is using Azure OpenAI Service to enhance efficiency across various industries, supporting more than 10,000 companies.
173. Coca-Cola is implementing Azure OpenAI Service to develop innovative generative AI use cases across various business functions, including testing how Microsoft 365 Copilot could help improve workplace productivity.
174. Denso is developing “human-like” robots using Azure OpenAI Service as the brain to help robots and humans work together through dialogue.
175. eFishery is using Azure OpenAI for farmers to get the data and insights on fish and shrimp farming, including more precise feeding and water quality monitoring.
176. EY developed an application that automatically matches and clears incoming payments in SAP, resulting in an increase from 30% to 80% in automatically cleared payments and 95% matched payments, with estimated annual time savings of 230,000 hours globally.
177. FIDO is using Azure OpenAI Service to develop an AI tool that uses sound to pinpoint leaky pipes, saving precious drinking water. 
178. Georgia Tech is using Azure OpenAI Service to enhance the electric vehicle (EV) charging infrastructure, achieving rapid data classification and predictive modeling, highlighting the reliability of networked chargers over non-networked ones.
179. GigXR developed a solution to create the intelligence for specific AI patients using Azure OpenAI Service and other Azure services.
180. GoTo Group is significantly enhancing productivity and code quality across its engineering teams by adopting GitHub Copilot, saving over seven hours per week and achieved a 30% code acceptance rate.
181. GovTech used Azure OpenAI Service to create LaunchPad, sparking more than 400 ideas and 20 prototypes, laying the foundation for the government to harness the power of generative AI.
182. H&R Block is using Azure AI Studio and Azure OpenAI Service to build a new solution that provides real-time, reliable tax filing assistance.
183. Haut.AI provides skin care companies and retailers with customizable, AI-based skin diagnostic tools developed with the help of Microsoft AI.
184. Helfie is building a solution that caters to healthcare providers who can arm their patients with an application to more quickly and accurately access the care they need.
185. Hitachi will implement Azure Open AI Service, Microsoft 365 Copilot, and GitHub Copilot to create innovative solutions for the energy, mobility, and other industries.
186. Icertis is providing AI-based tools that will recognize contract language and then build algorithms to automatically choose the right approach based on the content of the contract.
187. ITOCHU is using Azure OpenAI Service and Azure AI Studio to evolve its data analytics dashboard into a service that provides immediate recommendations by automatically creating evidence-based product proposals.
188. IU International University of Applied Sciences (IU) is using the power of Azure OpenAI Service to develop Syntea, an AI avatar integrated into Microsoft Teams and Microsoft 365 Copilot, making learning more personalized, autonomous, and flexible.
189. Khan Academy has partnered with Microsoft to bring time-saving and lesson-enhancing AI tools to millions of educators.
190. Lufthansa Group developed an animated 3D avatar called Digital Hangar to help guide passengers from initial travel inspiration to flight booking through an exchange with an avatar in natural language.
191. Mitsubishi Heavy Industries is using Azure OpenAI Service to help accelerate digital innovation in power plants.
192. Molslinjen has created an AI analytics toolbox that has reduced fuel emissions, improved customer satisfaction, and brought in millions of additional revenue.
193. Novo Nordisk recently published initial results with predictive AI models for advanced risk detection in cardiovascular diseases, including an algorithm that can predict patients’ cardiovascular risk better than the best clinical standards. 
194. Paige.AI​ is using AI and Azure to accelerate cancer diagnoses with data from millions of images.
195. Pets at Home created an agent to help its retail fraud detection team investigate suspicious transactions.  
196. Plan Heal is using Microsoft AI to create solutions that enable patients to monitor and report health metrics so care providers can better serve them.
197. Pacific Northwest National Laboratory (PNNL) is testing a new battery material that was found in a matter of weeks, not years, as part of a collaboration with Microsoft.
198. Rijksmuseum is harnessing the power of Copilot to make art accessible at scale by joining forces with Microsoft to improve and expand the art experience for blind and low-vision community members.
199. Royal National Institute of Blind People is using Azure AI Services to develop an AI-based solution that quickly and accurately converts letters to braille, audio, and large print formats.
200. Schneider Electric provides productivity-enhancing and energy efficiency solutions and is using a whole suite of AI tools to hasten its own innovation and that of its customers.
201. SPAR ICS created an award-winning, AI-enabled demand forecasting system achieving 90% inventory prediction accuracy.
202. Suzuki Motor Corporation is adopting Azure OpenAI Service for data security, driving company-wide use with five multipurpose apps.
203. Tecnológico de Monterrey created a generative AI-powered ecosystem built on Azure OpenAI Service with the goal to personalize education based on the students’ needs, improve the learning process, boost teachers’ creativity and save time on tedious tasks.
204. TomTom is using Azure OpenAI Service, Azure Cosmos DB, and Azure Kubernetes Service to revolutionize the driver experience.
205. Unilever is partnering with Microsoft to identify new digital capabilities to drive product innovation forward, from unlocking the secrets of our skin’s microbiome to reducing the carbon footprint of a multibillion-dollar business.
206. Unity used Azure OpenAI Service to build Muse Chat, an AI assistant that can guide creators through common questions and help troubleshoot issues to make game development easier.
207. University of South Florida is using Microsoft 365 Copilot to alleviate the burden of repetitive, time-consuming tasks so faculty and staff can spend this time creatively solving problems, conducting critical research, establishing stronger relationships with peers and students, and using their expertise to forge new, innovative paths. 
208. Visma has developed new code with GitHub Copilot, Azure DevOps, and Microsoft Visual Studio, as much as 50% faster, contributing to increased customer retention, faster time to market, and increased revenue.
209. Wallenius Wilhelmsen is implementing Microsoft 365 Copilot and using Microsoft Viva to drive sustainable adoption, streamlining processes, empowering better decision making, and cultivating a culture of innovation and inclusion.
210. Wipro is committed to delivering value to customers faster and improving the outcomes across the business by investing $1 billion in AI and training 200,000 employees on generative AI principles with Microsoft Copilot.

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The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe.

Once known for its dominance in the coal, steel, and manufacturing industries, the American Rust Belt is entering a new era of innovation. Thousands of startups, a focus on homegrown talent, and a rich culture of resilience are sparking an unmistakable resurgence in the region. 

Excited to explore this industrious spirit and a cloud culture closer to home, I ventured to the Northeastern and Midwestern states—the famed Rust Belt—to learn how entrepreneurial adaptability is energizing both people and businesses in the area. 

Rediscovering an entrepreneurial spirit through cloud innovation

My journey began on a winter day in Cincinnati, where the Ohio River borders Kentucky—a scene set with icy winds swirling over city streets and expansive farms. But it’s clear that the weather doesn’t deter progress here. I ducked into a cozy coffee shop to escape the cold and meet with my cohost, Devon Allen, a Microsoft colleague, and product marketing manager for Azure.

Devon is a unique cohost for this episode because of her ties to the region: she has deep roots in Appalachia and went to school in Ohio. Over coffee, she shared examples of how people in this area of the country are embracing adaptability and leaning into educating the next generation of talent, and in the process, are more resilient than ever before. Caffeinated and eager to explore, we parted ways to conduct our first interviews with local leaders.

Synthetaic represents a wave of new startups 

Devon started off with a visit to Lambeau Field, the home of the NFL’s Green Bay Packers and a symbol of the area’s vibrant character. There, she met with Corey Jaskolski, CEO of Synthetaic, a startup with a remarkable mission. Beginning as a project within TitletownTech—an incubator for tech startups formed in partnership between the Green Bay Packers and Microsoft—Synthetaic’s mission is to help organizations exponentially accelerate speed-to-insight and leverage AI for good.

Corey Jaskolski is not just Synthetaic’s CEO; he’s a National Geographic Fellow, explorer, engineer, and MIT graduate. Through his global expeditions, Jaskolski recognized the potential of technology to enhance exploration and conservation efforts in some of the world’s most beautiful and unforgiving environments.

Synthetaic’s RAIC (Rapid Automatic Image Categorization) solution automates the analysis of large, unstructured datasets so organizations can train and deploy AI models radically faster than other approaches. While other image processing tools require deep and time-intensive calibration, RAIC can immediately detect and classify anything from a single source image, exponentially accelerating speed-to-value and reducing the risk of human error.

Synthetaic is just one of more than 18,000 startups re-energizing the region—a truly staggering number. I was heartened to see how an area famous for its industrial history is recapturing the entrepreneurial spirit with cloud innovation at the forefront.

University of Cincinnati nurtures innovators and talent 

While Devon learned how AI can positively impact the world, I visited the University of Cincinnati’s 1819 Innovation Hub, a beacon of inspiration on campus that has helped UC contribute $10.6B in local economic impact. Experiencing this one-stop shop for technological advancement, ideas, and problem-solving, it was clear why the Rust Belt is flooded with incredible talent and forward-thinking innovators. In the modern, beautiful building that houses the Innovation Hub, I saw firsthand the spirit of innovation that has taken root in these states. 

During my visit, I was fortunate to attend a class at the Innovation Hub. After an inspiring question and answer session with a group of students, I spoke with Assistant Vice President Kate Harmon, leader of the Center for Entrepreneurship, Associate Professor Aaron Bradley who teaches design thinking and leads the innovation scholars program, and a current student, Jay Kothari, to learn more about the work happening at UC to bridge technology and AI across all industries. Entrepreneurial adaptability is a focal point of this urban public university, providing students with a plethora of classes, resources, and learning opportunities to help them succeed. It’s even in the school motto: “NEXT Lives Here.” In fact, a recent study shows that founders of a U.S. startup who studied or worked at UC are 3.3 times more likely to achieve unicorn founder status—the highest odds ratio in the nation. Our discussion illuminated how advances in cloud technologies will continue to impact education going forward, and how the students are empowered to innovate with technology to improve their own communities.

The future of innovation in the American Rust Belt 

To conclude our journey, we indulged in one of Devon’s favorite local eats at the 1940s diner, Camp Washington Chili. In Cincinnati, I learned there is more than one way to enjoy this comfort food—there are five. Served over spaghetti and topped with warmed red kidney beans, diced raw onions, and shredded cheddar cheese, a bowl of five-way chili was a unique and delicious way to end the trip.

As we dug in, we chatted about our interviews and reflected on the grit and dedication embodied by everyone we spoke with. Devon shared how Jaskolski, another local, saw an abundance of talent with these same traits and understood the advantages of starting a company in the Midwest. For example, his commute to Synthetaic is only four minutes—allowing him to spend more time with his family and embrace creativity in his downtime. This was an important consideration for himself and his employees. I also told Devon about the captivating conversations I had with the University of Cincinnati’s 1819 Innovation Hub students. Their drive and forward-thinking ideas will continue to shape this region into a tech hub of the Midwest, or a “Silicon Heartland,” as Kate Harmon put it. 

I was struck by the energy that’s paving the way for a bright future in the Rust Belt. There is change happening here—undoubtedly influenced by the acceleration of digital transformation we see on a global level. But it’s the heart and soul of the people, their ambition to adapt and grow, and their industrious heritage, that makes the resurgence possible.

I’m excited to watch this area continue to nurture their deep talent pool and innovate with technology to create positive impact—but for now, there are more cloud cultures to explore. See you on my next adventure, this time much further East! See you in Japan.

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The post Cloud Cultures, Part 8: Recapturing the entrepreneurial spirit in the American Rust Belt appeared first on The Microsoft Cloud Blog.

AI is currently at the forefront of global technological advancement, permeating various sectors from insurance to energy, driving efficiency, innovation, and transformative changes in society. With ongoing developments in machine learning and natural language processing, AI continues to reshape industries, offering a glimpse into a future where technology and human ingenuity intersect in exciting new ways. The expanding footprint of AI promises both unprecedented opportunities and considerations for responsible implementation.  

For me personally, one of the most exciting aspects is seeing the revolution of industries set into motion as sector-specific use cases begin to emerge. The number of Azure AI customers continues to grow with more than 65% of the Fortune 500 companies now using Microsoft Azure OpenAI Service, which underscores the critical role of partnerships and industry innovation to scale AI solutions to full potential across sectors.

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This willingness of industry leaders to be pioneers of AI was on bold display during the Microsoft AI Tour stop in Paris, part of the global event series designed to help decision makers and developers discover new opportunities with AI and advance their knowledge. Organizations such as Schneider Electric, The Groupama Group, Amadeus, Onepoint, AXA, and TotalEnergies are not just adopting AI; they’re redefining its potential. These groundbreaking use cases are shedding light on a future where AI is not just a tool, but a catalyst for a richer, more efficient, and more sustainable world.

Groupama’s virtual assistant optimizes policyholder service management

The Groupama Group, a premier mutual insurance group in France, has introduced a cutting-edge virtual assistant within its Employee Savings unit, harnessing the power of Azure OpenAI Service, Azure AI Search, and the Microsoft Bot Framework, to streamline customer managers’ interactions with policyholders. First ideated during an AI hackathon, the assistant has been embraced by the unit’s entire staff and boasts an impressive 80% success rate in providing accurate, dependable, and verifiable information.

“Our managers save a considerable amount of time and are able to carry out their work in much better conditions,” shared François-Xavier Enderlé, Head of Digital Transformation, “and this clearly enhances the quality of the relationship we maintain with our customers.”

Groupama has also stood up an interdepartmental AI-centered think tank, AI Factory, which is currently exploring more than 25 AI use cases aimed at revolutionizing claims processing, enhancing customer service through tools like a new FAQ chatbot, and streamlining the underwriting process for efficiency. Further, Groupama aims to democratize AI technology through training on AI prompting, empowering employees to innovate and improve operational efficiency and customer engagement.

Amadeus enhances employee efficiency with Copilot for Microsoft 365

Amadeus, a global technology provider for the travel industry, has deployed Copilot for Microsoft 365 to streamline work and free employees to focus on value-added tasks. Seamlessly integrated into Microsoft Teams, Word, PowerPoint, and Outlook, Amadeus’ Copilot solution has significantly improved operational efficiency.

“One of the challenges for large-scale, global organizations is the collaboration and the data management,” explains Marco Ruiz González, Product Manager and Solution Architect who supervised the deployment. “We are generating a large amount of data from different countries, and it’s very useful to have quick access to all this data.”

Early results are promising: pilot users reported substantial time savings in communication drafting, enhanced efficiency in email and meeting management, and improved information gathering and content translation capabilities.

With a 90% adoption rate among the initial 300 pilot users, half of whom engage with Copilot weekly, Amadeus plans to extend Copilot to 3,000 employees over the next six months, prioritizing adoption training tailored to diverse user profiles.

Schneider Electric leads the charge in sustainable energy management with AI

Schneider Electric is tackling the complex issue of optimizing energy use and performance with its EcoStruxure platform. By combining Azure OpenAI Service and Internet of Things (IoT), EcoStruxures merges Schneider Electric’s industry knowledge with Microsoft AI technology, enabling sustainable energy solutions and efficient energy management on a global scale. This includes dynamic control of energy performance, decision-making on the use of renewable energy sources, and overall energy optimization.

“People are using sustainable energy solutions to both produce and consume energy, and they can optimize how to produce or store that energy on the grid as it makes sense,” says Yoann Bersihand, Vice President of AI Technology at Schneider Electric. “Without AI, there is no way that we could address a problem as complex as this.”

The platform is designed with a layered architecture, planning future enhancements to integrate AI directly into hardware for efficient and sustainable energy management, especially beneficial for customers with limitations on using cloud services.

Schneider Electric has expanded its partnership with Microsoft, integrating Azure OpenAI Service into its operations to enhance efficiency and innovation across various processes. The integration enables the creation of solutions such as the Resource Advisor Copilot, leveraging large language model technology for data analysis and decision support, and Jo-Chat GPT, an internal tool enhancing employee productivity through generative AI. Further innovations include a programmable logic controller (PLC) code generation assistant that helps engineers quickly create high-quality, tested, and validated code, the Finance Advisor and Knowledge Bot, aimed at improving financial decision-making and customer service, respectively, as well as plans to incorporate GitHub Copilot to boost offer creation and Microsoft Copilot for Sales to support frontline staff. These advancements signify Schneider Electric’s commitment to leveraging generative AI for operational excellence and innovation.

“We didn’t want AI just to be an extra layer on top of the data teams. We decided to really go all-in on AI and not simply create proofs of concepts,” explained Yoann Bersihand, Schneider Electric’s Vice President of AI Technology, capturing Schneider Electric’s commitment to fully integrating AI into its operations to lead innovation in the energy sector.

Onepoint unlocks productivity company-wide with generative AI

An early adopter of AI, technology and consulting firm, Onepoint, is infusing AI at every level of the company with Microsoft’s turnkey generative AI solutions: Azure OpenAI Service, GitHub Copilot, and Copilot for Microsoft 365.

Neo, Onepoint’s secure conversational agent built on Azure OpenAI Service, leverages a library of prompts and business-oriented solutions to quickly generate reports and analyses, increasing productivity for 3,300 employees across the company. Onepoint has also piloted GitHub Copilot, resulting in higher-quality code, better documentation, and productivity gains around 40% on code production.

“The pilot showed us that if developers were properly acculturated to the product, it was really possible to make a quantum leap in productivity,” asserts François Binder, Partner Data & AI for Onepoint.

Addressing the challenge of acculturating employees to AI technology and practices, Onepoint has instituted an “AI Office” to ensure both technical and non-technical staff understand and adopt AI effectively. By providing structured training, fostering an AI community, and overseeing the deployment of AI solutions, the unit seeks to bridge knowledge gaps and biases related to AI among both technical and non-technical employees.

“We’re doing everything we can to fully embark our team in the generative AI adventure and give each of our consultants the means to become augmented consultants,” insists Binder.

What’s more, Onepoint is strategically integrating generative AI solutions into its offerings, along with personalized training to ensure customers are well-versed in AI’s capabilities and best practices, extending the benefits of AI to their customers as well.

AXA’s secure generative AI platform boost productivity of global employees

AXA, a global leader in insurance and asset management, is embracing the digital future through generative AI with the launch of AXA Secure GPT. Developed in collaboration with Microsoft and powered by Azure OpenAI Service, this AXA Secure GPT is designed to equip AXA’s 140,000 employees with cutting-edge AI tools in a secure and efficient manner.

Addressing the challenge of safely integrating public AI advancements within the corporate environment, AXA Secure GPT ensures the utmost privacy and control over data by employing robust filtering and classification, alongside secure cloud tenancy to keep all data and interactions within a controlled environment. Stringent authentication protocols and comprehensive security controls monitor and protect against potential threats. By leveraging Microsoft’s content filtering and adding an extra layer of security, AXA Secure GPT exceeds the current standards for data privacy and security, ensuring a reliable and secure tool for its employees.

With the goal to scale from 1,000 current users to all 140,000 global employees by mid-2024, AXA provides comprehensive AI support and training which includes leveraging Microsoft consulting services for optimal technological use and architecture design, alongside a dedicated change management program in each country to ensure smooth integration.

“As an employer, it is our responsibility to provide our employees with the best tools to enhance their comfort and enable them to focus on high-value activities,” said Vincent De Ponthaud, Head of Software & AI Engineering at AXA. Tailored training sessions and a specially curated prompt library, aimed at enhancing productivity across various departments, empower AXA employees to focus on high-value activities.

TotalEnergies supports operational transformation with AI and low-code solutions

Multi-energy company, TotalEnergies, has implemented Copilot for Microsoft 365 to support operational transformation. In the initial testing phase involving 300 employees, the company observed enhanced operational efficiency and improved user experience. Concurrently, TotalEnergies is empowering its workforce with Microsoft Power Platform, enabling them to develop low-code/no-code solutions integrated with other company applications and databases, thereby streamlining the resolution of various day-to-day challenges.

“In line with our pioneering spirit, TotalEnergies is committed to digital transformation and supports its employees so that they can make the most of it,” said Patrick Pouyanné, CEO of TotalEnergies. “The new technologies of generative artificial intelligence and of ‘low code no code’ will provide them with the simplification and autonomy they need to put their skills and creativity even further at the service of our company’s transition strategy.” In pursuit of this objective, TotalEnergies employees will receive training dedicated to the understanding and utilization of the new AI tools effectively.

AI for everyone

The Microsoft AI Tour provided a compelling opportunity to witness firsthand the pinnacle of regional innovation and to glimpse the far-reaching global impact poised to shape our future. Reflecting on the transformative journey of AI within France alone, it becomes evident that we’re venturing into an unprecedented era of technological advancement. The success stories of companies like Schneider Electric, Groupama, Amadeus, Onepoint, and TotalEnergies illustrate how the synergy between AI and human ingenuity propels progress and transformation across diverse sectors, transformation that will doubtlessly reach beyond borders to the benefit of organizations across the globe.

It’s also important to recognize that our exploration with AI is in its infancy and the horizon for transformative impact is limitless. It’s critical that business leaders scaffold AI innovation within an architecture of responsible AI, which include the development of ethical guidelines that address transparency, equity, accountability, and privacy; building diverse teams; investing in employee education around responsible AI use; and collaboration with industry bodies and policymakers to establish regulatory frameworks that can guide responsible deployment. When innovation and responsibility are aligned, we draw closer to ensuring that the potential for transformational impact of AI will be harnessed for the benefit of society as a whole.

Take the next step in your AI journey by exploring Microsoft AI solutions, diving into The AI Strategy Roadmap, and getting skilled up with Microsoft Learn’s AI learning hub to ensure you’re ready to leverage Microsoft AI to its fullest potential.

The post Groundbreaking AI innovation is transforming industries across France appeared first on The Microsoft Cloud Blog.

AI is redefining the boundaries of what’s possible, but the unique demands of AI—from vast data volumes and high-speed processing requirements to complex security and compliance challenges—require a strategic approach to data and technology infrastructure.

“It’s been over a year now since generative AI became mainstream. We are through the science experiment phase and leading companies are now putting AI into action,” says Wangui McKelvey, General Manager, Microsoft Azure Data Analytics.

In this post, we’ll focus on the five data and technology fundamentals required to deliver meaningful, sustainable, and responsible value creation with AI:

1. Align technology strategy and business strategy
2. Assess infrastructure needs and goals
3. Prepare your data estate to smooth the path from proof-of-concept to production
4. Consider build-versus-buy decisions
5. Determine a strategy for regulatory compliance and safeguarding AI assets

Five pillars of AI success

Building a Foundation for AI Success: A Leader’s Guide

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Align technology strategy and business strategy

Successful AI projects begin with a clear, prioritized, and valued set of business objectives, such as maximizing productivity and efficiency, improving customer experience, or growth-oriented objectives such as revenue acquisition or product innovation. These goals will help you prioritize use cases against likelihood of impact and realistically assess feasibility based on data and infrastructure requirements. It’s also useful to think of your technology investments in aggregate as an investment portfolio, which will enable you to set clear success criteria and reallocate resources across projects as needed.

Assess infrastructure needs and goals

Moving successfully from proof-of-concept (POC) to production with AI depends on a mix of technology and business factors that, ideally, must work together.

“Understanding how your business strategy maps to your product strategy, and then how your product strategy maps to your infrastructure, is key,” says Omar Khan, General Manager, Microsoft Azure Product Marketing. “AI-optimized infrastructure will help accelerate both building AI solutions and integrating AI into applications.” From a technology perspective, the most critical requirement is access to infrastructure that is built for AI—with the ability to run large AI workloads and perform securely and reliably at scale.

• Cloud-based AI deployments leverage third-party cloud service providers to access scalable and flexible computing power without the need for extensive on-premises infrastructure. This option allows for cost efficiency with pay-as-you-go models and access to a variety of AI services.
• Colocation, or the practice of renting space within a third-party data center to house privately-owned servers and networking equipment with data, applications, AI services, and infrastructure all in one place—minimizes transfer times and leads to lower latency, which is crucial for real-time and high-performance AI applications. Colocation also provides cost savings because centralized infrastructure is more efficient to manage, maintain, and scale, reducing overall operational costs.
• On-premises deployment refers to hosting and running applications and infrastructure within an organization’s physical premises or datacenters. While this deployment option gives organizations more control over their IT infrastructure, it can mean high upfront costs for hardware, ongoing maintenance responsibilities, and limited scalability.

Prepare your data estate to smooth the path from proof-of-concept (POC) to production

Data is the fuel that powers AI technology, so planning for any successful AI implementation requires that you identify the right data sources and ensure that the data is complete, of high quality, in the right format, and representative of your target customers and business objectives.

“Organizations continue to see their data as their competitive advantage,” says Wangui McKelvey. “Unlocking insights from their data, across their organization, in a single, integrated platform, empowers businesses to take advantage of AI. If you don’t understand the insights you can deliver from your data with AI, then you’re going to be left behind.”

Consider what to build vs. what to buy

The decisions you make today to buy, build, or modernize your technology infrastructure can significantly influence your ability to execute on future goals, so it’s essential to choose a path that is supportive of your organization’s vision. Here are some of the considerations and trade-offs:

• Build: A “build” strategy enables you to tailor solutions precisely to your needs and implement your strategic business vision. Custom-built AI applications give organizations greater flexibility and control over the development process, facilitating scalability to accommodate future growth and evolving business needs.
• Modernize: In some scenarios, existing AI applications may still deliver value, but need an update to meet current demands. This approach can be beneficial when you have substantial investments in legacy AI infrastructure, but technology has evolved and your applications need to catch up.
• Buy: Some businesses buy prebuilt AI solutions, which may be a viable option if your AI use cases align with existing products. However, prebuilt AI solutions offer limited customization, reducing the ability to support more specific business needs. Other important considerations include integration complexities with existing IT systems, scalability limitations, and cumulative long-term costs, including licensing fees and upgrades.

Determine a strategy for regulatory compliance and safeguarding your AI assets

Regulatory compliance, particularly with the General Data Protection Requirement (GDPR) and the coming EU AI Act, introduces a set of technical, legal, and operational considerations for infrastructure choices.¹ Factors such as data sensitivity, data residency, scalability, and governance all play a part in architecture decisions, whether organizations choose on-premises, cloud, or co-located deployments. One critical factor to consider is access to sophisticated security measures that utilize machine learning, AI, and global threat intelligence databases to contribute to a more robust defense against cyber threats.

“Contrary to common belief, on-premises environments are often less secure than the cloud,” says Omar Khan. “Despite the sense of control associated with in-house infrastructure, cloud-based security solutions have evolved significantly, offering more advanced tools and technologies for threat detection and mitigation.”

Next steps

Stay tuned for the next post in our series, “Building a Foundation for AI Success: AI strategy and experience,” in which we will explore the factors that contribute to a successful AI strategy and experience for customers. We will follow the next entry with dedicated posts focusing on organization and culture, and AI governance.

Download a copy of “Building a Foundation for AI Success: A Leader’s Guide.”

¹EU AI Act.

The post Building a foundation for AI success: Technology and data strategy appeared first on The Microsoft Cloud Blog.

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Dentsu drives creativity and growth for brands, supported by Microsoft Copilot.
Enriching employee experiences and shaping the future of work with copilot technology

Bayer employees are collaborating better on worldwide research projects and saving time on daily tasks with Copilot for Microsoft 365, while Finnish company Elisa is helping knowledge workers across finance, sales and customer service streamline routine tasks. Banreservas is driving employee productivity and enhancing decision-making, and Hong Kong’s largest transportation companies — Cathay and MTR — are streamlining workflows, improving communications, and reducing time-consuming administrative tasks. Across professional services, KPMG has seen a 50% jump in employee productivity, Dentsu is saving hundreds of employees up to 30 minutes per day on creative visualization processes, and EY is making it easier to generate reports and access insights in near real-time with Copilot for Microsoft 365. In Malaysia, financial services organization PNB is saving employees time searching through documents and emails and AmBank employees are enhancing the quality and impact of their work. At Hargreaves Lansdown, financial advisers are using Copilot for Microsoft 365 and Teams to drive productivity and make meetings more inclusive. Avanade is helping sellers save time updating contact records and summarizing email threads with Copilot for Dynamics 365, while HSO Group, Vixxo, and 9altitudes are streamlining work for field and service teams.

Employee and customer in store
Organizations are creating their own Generative AI assistants to help employees improve customer service.
Reinventing customer engagement with generative AI to deliver greater value and increased satisfaction

MECOMS is making it possible for utility customers to ask questions and get suggestions about how to reduce power consumption using Microsoft Fabric and copilot on their Power Pages portal. Schneider Electric has built a Resource Advisor copilot to equip customers with enhanced data analysis, visualization, decision support and performance optimization. California State University San Marcos is finding ways to better understand and personalize the student journey while driving engagement with parents and alumni using Dynamics 365 Customer Insights and Copilot for Dynamics 365. With Azure OpenAI Service, Adecco Group is bolstering its services and solutions to enable worker preparedness as generative AI reshapes the workforce, UiPath has already helped one of its insurance customers save over 90,000 hours through more efficient operations, and Providence has developed a solution for clinicians to respond to patient messages up to 35% faster. Organizations are building generative AI assistants to help employees save time, improve customer service and focus on more complex work, including Domino’s, LAQO and OCBC. Within a few weeks of introducing its copilot to personalize customer service, Atento has increased customer satisfaction by 30% while reducing operational errors by nearly 20%, and Turkey-based Setur is personalizing travel planning with a chatbot to customize responses in multiple languages for its 60,000 daily users. In the fashion industry, Coats Digital launched an AI assistant in six weeks to make customer onboarding easier. Greece-based ERGO Insurance partnered with EBO to provide 24/7 personalized assistance with its virtual agent, and H&R Block introduced AI Tax Assist to help individuals and small business owners file and manage their taxes confidently while saving costs.

Man and woman working in lab
Novo Nordisk is building out GitHub Copilot integration to decrease repetitive research and engineering tasks.
Reshaping business processes to uncover efficiencies, improve developer creativity and spur AI innovation

Siemens built its own industrial copilot to simplify virtual collaboration of design engineers and front-line workers, accelerate simulation times and reduce tasks from weeks to minutes. With help from Neudesic, Hanover Research designed a custom AI-powered research tool to streamline workflows and identify insights up to 10 times faster. With Microsoft Fabric, organizations like the London Stock Exchange Group and Milliman are reshaping how teams create more value from data insights, while Zeiss is streamlining analytics workflows to help teams make more customer-centric decisions. Volvo Group has saved more than 10,000 manual hours by launching a custom solution built with Azure AI to simplify document processing. By integrating GitHub Copilot, Carlsberg has significantly enhanced productivity across its development team; and Hover, SPH Media, Doctolib and CloudZero have improved their workflows within an agile and secure environment. Mastery Logistics Systems and Novo Nordisk are using GitHub Copilot to automate repetitive coding tasks for developers, while Intertech is pairing it with Azure OpenAI Service to enhance coding accuracy and reduce daily emails by 50%. Swiss AI-driven company Unique AG is helping financial industry clients reduce administrative work, speed up existing processes and improve IT support; and PwC is simplifying its audit process and increasing transparency for clients with Azure OpenAI Service. By leveraging Power Platform, including AI and Copilot features, Epiq has automated employee processes, saving over $500,000 in annual costs and 2,000 hours of work each month, PG&E is addressing up to 40% of help desk demands to save more than $1 million annually, and Nsure is building automations that reduce manual processing times by over 60% and costs by 50%. With security top of mind, WTW is using Microsoft Copilot for Security to accelerate its threat-hunting capabilities by making it possible for cyber teams to ask questions in natural language, while LTIMindtree is planning on using it to reduce training time and strengthen security analyst expertise.

Man working at multiple screens
VinBrain is harnessing Microsoft’s cutting-edge AI technologies to transform healthcare in Vietnam.
Bending the curve on innovation across industries with differentiated AI offerings

To make disaster response more efficient, nonprofit Team Rubicon is quickly identifying and engaging the right volunteers in the right locations with the help of Copilot for Dynamics 365. Netherlands-based TomTom is bringing the benefits of generative AI to the global automotive industry by developing an advanced AI-powered voice assistant to help drivers with tasks like navigation and temperature control. In Vietnam, VinBrain has developed one of the country’s first comprehensive AI-powered copilots to support medical professionals with enhanced screening and detection processes and encourage more meaningful doctor-patient interactions. Rockwell Automation is delivering industry-first capabilities with Azure OpenAI Service to accelerate time-to-market for customers building industrial automation systems. With a vision to democratize AI and reach millions of users, Perplexity.AI has brought its conversational answer engine to market in six months using Azure AI Studio. India’s biggest online fashion retailer, Myntra, is solving the open-ended search problem facing the industry by using generative AI to help shoppers figure out what they should wear based on occasion. In Japan, Aisin Corp has developed a generative AI app to empower people who are deaf or hard of hearing with tasks like navigation, communication and translation; and Canada-based startup Natural Reader is making education more accessible on-the-go for students with learning differences by improving AI voice quality with Azure AI. To solve one of the most complex engineering challenges — the design process for semiconductors — Synopsys is bringing in the power of generative AI to help engineering teams accelerate time-to-market.

As organizations continue to embrace AI Transformation, it is critical they develop clarity on how best to apply AI to meet their most pressing business needs. Microsoft is committed to helping our customers and partners accelerate pragmatic AI innovation and I am excited by the opportunities before us to enrich employee experiences, reinvent customer engagement, reshape business processes and bend the curve on innovation. As a technology partner of choice — from our differentiated copilot capabilities to our unparalleled partner ecosystem and unique co-innovation efforts with customers — we remain in service to your successful outcomes. We are also dedicated to preserving the trust we have built through our partnership approach, responsible AI solutions and commitments to protecting your data, privacy and IP. We believe this era of AI innovation allows us to live truer to our mission than ever before, and I look forward to continuing on this journey with you to help you achieve more.

The post Embracing AI Transformation: How customers and partners are driving pragmatic innovation to achieve business outcomes with the Microsoft Cloud appeared first on The Microsoft Cloud Blog.

I spoke with Shamim Mohammad, Chief Information and Technology Officer at CarMax, on the Pivotal podcast about his company’s approach to data and AI.

CarMax has applied AI to improve the experience for both customers and employees. For instance, it is using machine learning to provide the best images, reviews, and details for each car. It has built patented technologies to optimize that process, including a recommendation engine that can understand what the customer is trying to do and offer targeted car content.  

When customers look at a car, AI also helps aggregate information about the car from multiple data sets and turns it into easily digestible summaries for the shopper. ChatGPT working in the background to draft these summaries frees time for CarMax’s employees to work on higher-value projects. 

CarMax was one of the early adopters of Microsoft Azure OpenAI Service, and its success in scaling AI has a lot to do with how it organized itself to drive innovation across the company. Here are some highlights from my conversation with Shamim.

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Setting up cross-functional innovation teams

CarMax has set itself up like a digital startup, creating dozens of small, cross-functional innovation teams. Each team is focused on tackling a defined set of business challenges, and resourced with engineering, marketing, and operations talent. They are encouraged to move fast to build and test their solutions. 

Every few weeks, these teams present their progress and results at a product showcase. CarMax senior leaders watch these presentations, provide feedback, and decide which projects to scale. When a good idea is proved effective, teams are empowered to move their solutions to production with minimal bureaucracy. This allows them to quickly iterate and scale. 

When our teams have a good idea, they can optimize and scale it on their own, and then they present their progress on a biweekly basis, and we make a joint determination how and if to proceed further as a team. That’s how the teams work today at CarMax, which is amazing. I feel like I have this massively large company, but it’s still working like a startup.

Shamim Mohammad, Chief Information and Technology Officer, CarMax 

This cross-functional team structure would not have been possible without close leadership alignment. When Shamim first became Chief Information Officer, he partnered closely with the Chief Operating Officer and Chief Marketing Officer to organize these teams so that they could become digital-first. That collaboration has thrived to this day. 

Implementing strong AI governance 

CarMax has created a strong model for AI governance to support its innovation. It set up an AI Center of Excellence that includes top technical leaders, as well as leaders from legal, operations, finance, and marketing. 

This center’s chief role is to ensure that any innovation with AI remains consistent with the company’s core values of transparency and integrity. It focuses on educating CarMax teams about the power and risks of AI, provides guidelines on how to use AI responsibly, and offers tools to help teams evaluate their ideas and projects.  

The work of the AI Center of Excellence has created a culture of responsible innovation within CarMax, allowing teams to feel safe to experiment with AI.  

It starts with creating a culture that empowers employees to experiment and learn. And that’s supported by a strong data foundation. Because if a company is not good with data, they cannot be good with AI.

Shamim Mohammad, Chief Information and Technology Officer, CarMax

Building a foundational data estate for AI 

CarMax knew that the transformation it sought depended heavily on getting its data estate in order. Starting five years ago, the company invested to build a clean and organized data estate in the cloud. That has allowed it to combine the power of AI with its massive trove of car and customer data. 

It started by moving its data to Microsoft Azure. It worked to make that data scalable, updated, and constantly refreshed. It also applied strong data governance policies to ensure security and privacy. 

Today, that data is available for its teams to use. Its early data estate investment has positioned it to drive AI innovation at an incredible pace.  

Our teams have been leveraging our data and AI to create great customer experiences, drive competitive differentiation, and also make the lives of our associates better. 

Shamim Mohammad, Chief Information and Technology Officer, CarMax

Learn more about AI innovation on the Pivotal podcast 

CarMax is an exciting example of what an organization can accomplish if it makes some foundational changes to prime itself for AI innovation.  

By clearly defining achievable goals, providing teams with the environment to experiment and scale, and putting strong AI and data governance in place, it was able to unleash a wave of AI innovation that completely transformed its business. CarMax’s journey offers important lessons for organizations wanting to succeed with AI. 

If you want to hear more about CarMax’s approach, tune into the episode on the Pivotal podcast.

The post How CarMax organized and scaled innovation with Microsoft AI solutions appeared first on The Microsoft Cloud Blog.

The importance of data in AI-driven retail fuels the algorithms, insights, and personalized experiences that are increasingly integral to success of the modern retailer. The ability to collect, harmonize, and derive meaningful insights from vast amounts of data empowers retailers to make informed decisions, create personalized experiences, and stay competitive. Understanding that data is key to success, we’ve also released retail data solutions in Microsoft Fabric—helping retailers to standardize and enrich raw data with connectors to engage customers more effectively. Read on to learn how you and your employees can maximize benefits from your data.

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Optimize shopper experiences with personalization  

Generative AI models have vastly improved the experience of chatting with virtual assistants—providing expert advice and bringing ease and convenience to online shoppers. The copilot template for personalized shopping on Azure OpenAI Service (preview) enables retailers to build tailored shopping experiences that allow consumers to shop using natural language. Online shopping is now akin to consulting with a specialist in a store. Personalized shopping taps into the retailer’s vast expertise and knowledge base to apply across shopping situations with the convenience of anytime, anywhere availability. Using a retailer’s current systems and data, this prebuilt template can be embedded into existing experiences, such as a website or app, making it easier for shoppers to find and purchase the products they want. With the prebuilt copilot template, retailers can offer customers personalized expert advice as well as guide the shopper to find unexpected items and learn more about the retailer.  

The copilot template is designed to be easy for any retailer to use. Its open architecture lets each organization leverage existing investments in commerce, inventory, and personalization solutions to support a wide range of buying environments, including e-commerce sites and mobile apps. Designed to have interactive discussions with shoppers, the copilot template can be adapted to each seller’s brand and values, responds to their questions and facilitates decision-making to create a personalized experience that feels natural and easygoing. 

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Increase productivity and efficiency with copilot for store operations   

Whether associates are long-term employees or seasonal workers, empowering the workforce and optimizing their performance is critical to customer satisfaction and retailer success. With the new generative AI-powered copilot template for store operations on Azure OpenAI Service (preview), retailers can build technology that allows frontline workers to quickly and easily access the information needed for their work day, increasing productivity and efficiency with text and voice commands.  

Retail frontline workers can easily get answers to questions on store operating procedures like how to handle refunds or set up product displays. Using natural language, associates can ask questions about the product catalog to support shoppers, review HR policies and benefits, or complete surveys. Copilot template for store operations enables workers to independently manage issues such as addressing damaged items. For example, with a few prompts, an associate can ask copilot template for store operations for the company’s standard operating procedure for replacing damaged products. In addition to getting the right steps to handle the process, the associate can also create a task to replace products and send an alert through Microsoft Teams to the store manager. Copilot template for store operations eliminates the need for pen and paper, data in multiple systems, or the retail frontline tracking down the store manager for every problem that arises.  

Likewise, the copilot template for store operations helps store managers optimize the work experience for their associates and deliver improved customer experiences. They can ask Microsoft Teams for a summary of key performance indicators (KPIs)—such as sales, inventory, and customer feedback. Using copilot template for store operations, a manager can quickly create tasks and assign associates to address. Copilot template for store operations provides retailers insights and information in the normal flow of work, helping managers and associates increase productivity and responsiveness.

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Gain actionable insights fast with retail data solutions in Microsoft Fabric

Microsoft Fabric is a complete analytics platform built for the era of AI. It enables the transformation of data into predictive insights, to ensure better business outcomes and reduce costly data replication and movement to support data analysts and data scientists. With these solutions in place, organizations can also automate duplicative tasks resulting in data efficiency and resource management.   The self-serve ability enables organizations to equip everyone in the company with their own access to these powerful analytics. Underscoring all of this is a commitment to help keep data secure and protected in a single source while meeting stringent compliance requirements.  

Retail data solutions in Microsoft Fabric is an industry specific workload that enables customers to accelerate time to insight generation by unifying, enriching, and modelling industry data on Microsoft Fabric​. Organizations can plan, architect, and design data solutions for data governance, reporting, business intelligence, and advanced analytics. Using data definition, formats, and storage enhancement, a standardized data model is created to help organizations derive actionable insights from large volumes of retailer data. Retail data solutions in Microsoft Fabric provide seamless integration across different systems and applications. By establishing a foundation for naming, data classification, and access controls, retailers can be assured effective governance of their data. 

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Sitecore OrderCloud connector enhances your digital capabilities 

Sitecore OrderCloud connector, one of the key capabilities of retail data solutions, gives you a quick and reliable platform to get commerce data onto Microsoft retail industry standard schema. The connector performs transformation and orchestration on top of the data from Sitecore OrderCloud to align with the data model. The connector works across three key data sets:   

1. Products: All the sellable products available in Sitecore OrderCloud. 
2. Customers: End customers who are shopping from your e-commerce portals. 
3. Orders: Customer generated online sales orders.  

The key role of the connector is to get data into the retail data solutions schema, giving users the benefit of access to solutions that are built on top of retail data solutions. Microsoft Power BI reports on sales, products, and customer data solutions can be enabled on top of Sitecore OrderCloud data out of box. 

Using the connector in combination with Microsoft Power Platform and Dataverse capabilities empowers customers to seamlessly connect data across multiple line-of-business systems to generate AI-driven recommendations and actionable solutions that will help store associates make the right decisions. The connector ensures that no personal customer information is transferred when using Dataverse and Microsoft Power Platform capabilities such as Power BI reports and other related solutions. The Power BI reports provide actionable insights on top of data. Each report provides a specific view of data across sales, customers, and products that can help make impactful merchandising, marketing, and supply chain decisions.  

“Sitecore OrderCloud delivers limitless commerce capabilities and opportunities to consolidate commerce channels into a single managed marketplace. The out-of-the-box integration with Microsoft Fabric unlocks the ability to be a forward-looking AI retail organization. Retail organizations can benefit from stateful services, reliable messaging, orchestration, monitoring, and security, while continuing to focus on their roadmap and strategic business objectives.” Steven Davis, Vice President of Engineering Commerce, Sitecore 

Make strategic product decisions with frequently bought together

Lastly with this release, the frequently bought together model is a data-driven tool that empowers retailers to make informed decisions about product placement and promotions. By analyzing point-of-sale (POS) data, frequently bought together identifies the combinations of products that are most often selected and purchased at the same time. This way, retailers can effectively promote cross-selling activity and boost joint sales by placing associated products closer together.  

Frequently bought together analytics enables retailers to: 

• Find the top revenue products and boost cross-sales by putting identified products closer. 
• Check the lowest revenue products and decide which ones to drop from the product catalogue. 
• Measure how past marketing actions, like new shelf layout or promotion performance, affected the sales of each item in a product group by comparing before and after sales revenues when purchased together. 

Learn more

MICROSOFT INTRODUCES PREBUILT AI SOLUTIONS FOR RETAILERSRead the blog 

• Join us at NRF 2024 from January 13 to 16, 2024 in New York City, New York to learn more about Microsoft Cloud for Retail’s cutting-edge AI technologies and how they can optimize your business.
• Join Shelley Bransten at the Microsoft Retail Digital Forum on February 6, 2024 for the How AI Unlocks Value for Retail session to learn about the research and gain insights into what is driving AI transformation among leading retailers.
• To get started, you can sign up here or learn more about our latest capabilities on the Microsoft Cloud for Retail homepage. 

The post Microsoft Cloud for Retail unlocks a new level of productivity with AI appeared first on The Microsoft Cloud Blog.

To this end, earlier this year, we introduced Microsoft Copilot for Dynamics 365, the world’s first AI copilot natively built for CRM and ERP. Since then, more than 130,000 organizations have experienced copilot capabilities in Microsoft Dynamics 365 and Microsoft Power Platform firsthand. In fact, a survey revealed that 70 percent of the Copilot users were more productive, 73 percent could complete tasks faster, and 68 percent of users improved the quality of their work.

Organizations, however, depend on a range of business applications across roles and functions, from customer relationship management (CRM) systems for marketing, sales, and service roles to enterprise resource planning (ERP) systems for finance, supply chain, and operations departments. At Microsoft Ignite, we are announcing new Microsoft Copilot experiences that empower organizations to unlock value from a multitude of systems of record. In conjunction with these copilot experiences, we are announcing new and updated copilot capabilities in Dynamics 365 applications.

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Announcements include:

• Updates to Copilot for Dynamics 365 to drive efficiency across the organization, featuring capabilities that help marketing, sales, and field service professionals provide exceptional customer experiences.
• Introduction of Microsoft Copilot for Service and Microsoft Copilot for Sales, the evolution of Sales Copilot, bringing together the power of Copilot for Microsoft 365 with role-specific insights and actions. Both provide flexibility to integrate with an organization’s existing contact center and CRM systems respectively. 

Together, these capabilities empower organizations to harness secure and enterprise-ready, generative AI experiences, helping employees to perform at their highest potential across every role and function. 

Reimagine ways to drive efficiency across the organization with Copilot for Dynamics 365

We’re introducing new and enhanced copilot capabilities for Dynamics 365 that help marketers, sellers, and field service professionals elevate customer experiences.

The following Copilot updates are in addition to recently-announced copilot and demand planning capabilities for Microsoft Dynamics 365 Supply Chain Management, as well as the 2023 release wave 2 for Dynamics 365 and Microsoft Power Platform, a six-month rollout of new and enhanced capabilities scheduled for release between October 2023 and March 2024.

Copilot delivers answers and information to field service workers in a chat-based conversation

Field service workers depend on quick access to a variety of customer and technical information precisely at the moment it is needed. A recent survey by Microsoft highlighted that not being able to easily find the information they need ranks in the top five disruptive issues faced by frontline workers in their current day-to-day role.¹ This can significantly affect key performance indicators such as first-time fix rates, customer satisfaction, and retention.

We’re introducing AI-powered experiences for Microsoft Dynamics 365 Field Service, available for preview in December, that enable frontline workers to quickly access information on a job site by asking questions in conversational language, directly within Teams.

We’re also announcing the general availability of AI-assisted work order creation and technician scheduling, and the public preview of financial and inventory data flow between Dynamics 365 Field Service and Microsoft Dynamics 365 Finance and Dynamics 365 Supply Chain Management. Additionally, Microsoft Dynamics 365 Guides and Microsoft Dynamics 365 Remote Assist are available at no additional cost.

Explore the full set of updates to Dynamics 365 Field Service.

Reimagining CRM systems with natural language experiences

The innovation and scale of Copilot have established Microsoft Dynamics 365 Sales as an innovative leader in sales technology, as recognized by Gartner and Forrester. Copilot in Dynamics 365 Sales enhances seller productivity and effectiveness in their flow of work, enabling them to automate the sales processes and make informed decisions with AI-powered insights and actions. Copilot features help sellers save time, boost productivity, and eliminate mundane workloads to maintain focus on connecting with customers and closing deals.

We’re announcing new copilot experiences in Dynamics 365 Sales that allow sellers to interact with their data using natural language.  

Now in preview, sellers can use their own words to get contextual insights and recommendations for leads and opportunities.

In addition, Copilot in Dynamics 365 Sales has a new full-screen view where sellers can use natural language or prebuilt prompts to gain a quick understanding of customers, deals, meetings, forecasts, and more. The feature is now available in Asia and Europe and will be available in North America in December.

Deliver more personalized customer experiences with Copilot in Dynamics 365 Customer Insights

New capabilities for Microsoft Dynamics 365 Customer Insights provide a deeper understanding of target customers and segments, helping to hyper-personalize campaign content and improve engagement.

Available for preview in December, sellers can use Copilot in Dynamics 365 Customer Insights to instantly generate a customer profile summary—including demographic, transactional, behavioral, and analytics data—to uncover key insights on customers. The capability is available for organizations that have both Dynamics 365 Customer Insights and Dynamics 365 Sales Enterprise or Premium subscriptions.  

We continue to build capabilities that enable a seamless handoff from marketing to sellers. Now in preview, marketers can qualify their leads using metrics such as engagement scores, ensuring marketing and sales teams maximize the opportunity pipeline and improve win rates.  

Adding to our growing ecosystem, we’re announcing a unique partnership with Optimizely. In preview this December, organizations can use the segments and journeys built in Dynamics 365 Customer Insights directly within Optimizely. This enables Optimizely users to build personalized campaigns in real time without writing any code. Through bi-directional integrations, organizations can deliver hyper-personalized omnichannel experiences across web, social, email, and offline channels.

Bring together the power of Copilot for Microsoft 365 and business insights and actions

Most organizations depend on a range of applications to manage the business, including CRM, ERP, and supply chain management systems. Integrating innovative technology, like generative AI, into these systems can be challenging—especially when security, privacy, and compliance are a top priority.

Responding to this need, we’re introducing a new category of Microsoft Copilot solutions that tap into data from various applications—including Microsoft 365 and third-party systems of record—to bring a new level of efficiency and automation to business functions across the organization. 

Modernize the contact center with Microsoft Copilot for Service

In a recent Microsoft survey, it was revealed that three out of four customer service agents feel less inspired and motivated by their work. With insufficient focus time, over half of them are struggling to deliver exceptional customer service and efficiently address customer issues.¹ The surveyed agents express confidence that AI can positively impact their performance, as well as provide, analytical insights, including trend and sentiment analysis. 

We’re meeting the needs of service agents with a Microsoft Copilot solution that integrates generative AI capabilities into the tools and processes that they depend on every day. Microsoft Copilot for Service integrates an organization’s trusted knowledge with the power of Copilot for Microsoft 365 to boost agent productivity in the tools they already use every day, such as Outlook and Teams; providing AI-guided answers and resources personalized for each customer issue and conversation. 

Microsoft Copilot for Service provides the flexibility to integrate with an organization’s existing CRM and contact center systems. Organizations can train Microsoft Copilot for Service using trusted websites, knowledgebase articles, files, and other critical data sources from their existing contact center to unlock generative AI-powered guidance across all of their data. Microsoft Copilot for Service provides out-of-the-box integrations with Salesforce, ServiceNow, and Zendesk, and can be extended to other systems through a vast array of more than 1,100 prebuilt and custom connectors.

MICROSOFT COPILOT STUDIOLearn more 

Copilot for Service can be further customized with Microsoft Copilot Studio, also announced at Microsoft Ignite 2023. With Copilot Studio, service teams can fine-tune copilot experiences by incorporating their own data, logic, and actions tailored for specific scenarios, frequent conversations, or other unique use cases.

Copilot for Service will be available in public preview in early December and generally available in early 2024. Pricing is USD50 per user per month. Learn more about Microsoft Copilot for Service.

Unlock sales productivity in the flow of work

Microsoft Copilot for Sales is the evolution of Sales Copilot, used by leading brands including 10,000 sellers within the Microsoft sales team. A recent survey revealed that 83 percent of Microsoft sellers claim that Microsoft Copilot for Sales helps them improve productivity, with sellers saving an average of 90 minutes per week.¹ Read our ebook on the AI advantage for sellers for details. 

Copilot for Sales brings together the power of Copilot for Microsoft 365 in seller workflows, using customer data within the CRM system they already use, along with information in documents, email, and chats from Microsoft 365 applications.

The innovations enabled in Copilot for Sales include a newly integrated experience with Microsoft Word and Teams. Sellers can prompt Copilot to create a meeting preparation brief in Word, automatically populated with customer information such as an account and opportunity summary, names and titles of meeting participants, pending tasks, and highlights from recent meetings and email threads. In addition, meeting recaps in Microsoft Teams can surface action items and tasks, key performance indicators (KPIs), and sales keywords mentioned. These experiences help sellers save time and energy, generate innovative ideas, build stronger customer relationships, and ultimately close more deals.

Like Copilot for Service, sellers can customize AI-assisted sales processes with Copilot Studio, bringing tailored experiences informed by their own data, logic, and actions for specific scenarios.

Copilot for Sales² will be available in the first quarter of 2024 for USD50 per user per month.

Learn more at Microsoft Ignite

Register for Microsoft Ignite to access on-demand recordings of keynotes and sessions, including opportunities to learn about the copilot capabilities announced. You have the opportunity to engage with the global community online, regardless of your location, and participate in live discussions at no cost. To get started, we recommend the following sessions: 

• Becoming an AI-powered organization with Microsoft Copilot (keynote, in-person and online)
• Transform customer experience with Dynamics 365 and next-generation AI (breakout, in-person and online)
• Transforming service organizations with generative AI (breakout, in-person and online)
• ERP in the era of AI: A new face of business efficiency and agility (breakout, in-person and online)

In addition, learn more about what’s possible with Copilot for Dynamics 365 and get started on your journey today. 

¹ Microsoft 2023 Work Trend Index survey

² Dynamics 365 Sales Enterprise and Premium customers will retain rights to capabilities in Sales Copilot. As today’s news demonstrates, copilot capabilities in Dynamics 365 Sales will continue to innovate. To get the full value of the new Copilot for Sales, including access to Copilot for Microsoft 365, customers will work with their Microsoft account representative to upgrade.

The post Introducing new Copilot experiences to boost productivity and elevate customer experiences across the organization appeared first on The Microsoft Cloud Blog.

Creating custom AI experiences requires data—lots of it. Data is the foundation on which AI is built and the simple fact is AI is only as good as the data it’s based on. As you enter a future built on AI, you need a data estate capable of fueling AI innovation across your organization. This can be a challenging prospect for most organizations whose data environments have grown organically over time with specialized and fragmented solutions.

That’s why we introduced Microsoft Fabric earlier this year. As Satya Nadella, CEO and Chairman of Microsoft, said at Microsoft Build 2023, Fabric is “perhaps the biggest launch of a data product from Microsoft since the launch of SQL Server.”

Microsoft Fabric has caught the imagination of our customers, partners, and community members. Since the preview announcement, 25,000 organizations around the world are already using Fabric today, including 67 percent of the Fortune 500. Most customers appreciate Fabric’s end-to-end value proposition, with 84 percent of companies using three or more workloads. Check out some of the early Fabric success stories with our customers:

Milliman 

“Microsoft Fabric would have been our choice from the beginning—had it only existed then. Building a democratized data platform was too big of a distraction from our focus on supporting actuaries in managing risk,”—Tom Peplow, Principal and Senior Director of Technology Strategy for Life Technology Solutions, Milliman. 

Watch Milliman’s transformation with Fabric. 

Zeiss 

“Previewing Fabric was a great opportunity to explore features right at the beginning and to think about how we could adopt them in our organization. We soon realized it was the natural evolution for us in our data mesh journey as it provided a complete analytics service in a single offering.”—Markus Morgner, Head of Enterprise Data Platform and Engineering, ZEISS Group.

Watch Zeiss’s transformation with Fabric.

Ernst and Young 

“In developing and launching EY Intelligence, Microsoft Fabric has been a game changer. Our unique analytics as a service offering gives the C-suite at our client organizations cross functional transparency and on demand insights to make better and quicker decisions,”—Swen Gehring, Director, Strategy and Transactions, Ernst and Young.

Watch Ernst and Young’s transformation with Fabric. 

Announcing the general availability of Microsoft Fabric

We are thrilled to announce Microsoft Fabric is now generally available for purchase. Microsoft Fabric can reshape how your teams work with data by bringing everyone together on a single, AI-powered platform built for the era of AI.

Watch a quick overview: 

See why we believe Microsoft Fabric will redefine the current analytics landscape:

Fabric is a complete analytics platform

Fabric combines the best of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory to create a single, unified software as a service (SaaS) platform with seven core workloads—each purpose-built for specific personas and specific tasks. By creating a single platform with tools for every data professional in a unified experience and architecture, Fabric can reduce the typical cost and effort of integrating analytics services and help simplify your data estate. Fabric’s unified architecture simplifies billing by providing a single pool of capacity and storage that is used for every workload. It also helps you manage and protect your data more effectively with end-to-end governance and security capabilities that work across your data in Microsoft Fabric and beyond. 

Fabric is lake-centric and open

ONELAKE, THE ONEDRIVE FOR DATALearn more 

Fabric’s unified, multi-cloud data lake, OneLake, is automatically wired into every Fabric workload and designed to help you simplify data management and reduce data duplication. OneLake shortcuts allow you to virtualize data into OneLake from across clouds, accounts, and domains, with sources like Azure Data Lake Storage Gen2 and Amazon S3—all without duplication, movement, or changes to metadata or ownership. Once enabled in OneLake, you can use domains and workspaces to organize your data into a logical data mesh and empower everyone to search across this mesh using an intuitive, personalized data hub. OneLake’s open data format means you only need to load the data into the lake once and you can use the single copy across every Fabric workload and engine, minimizing data duplication and sprawl.  

Fabric empowers every business user

Microsoft Fabric was built to help foster a data culture—enabling anyone to quickly go from data sitting in a lake to stunning Power BI visuals embedded in a Microsoft 365 app. You can more easily empower your business with capabilities like Real-Time Analytics, which can empower your teams with real-time insights with incredibly low latency. In addition, Direct Lake mode in Power BI allows users to create a real-time connection from your Power BI reports to your data in OneLake. This direct integration between Power BI and OneLake helps ensure only one copy of the data is ever created, helping you promote reuse of the best data for business users and avoid data fragmentation. This data can then easily and securely flow to the Microsoft 365 applications people use every day like Microsoft Teams, Outlook, PowerPoint, Excel and more to improve decision-making and drive impact. 

Fabric is AI-powered

We are infusing AI into every layer in Microsoft Fabric to help every data professional get more done, faster. With Copilot in Microsoft Fabric, you can use natural language to create dataflows and pipelines, write SQL statements, build reports, or even develop machine learning models. Today, we are excited to announce the public preview of Copilot in Fabric, starting with the Power BI, Data Factory, Data Engineering, and Data Science experiences. In Power BI, you can create stunning reports and summarize your insights into narrative summaries in seconds. In Data Factory, you can simply describe how you want to ingest and transform the data using natural language and Copilot does the rest. When working in a notebook in Data Engineering or Data Science, you can more quickly enrich, model, analyze, and explore their data.  

The preview of Copilot in Microsoft Fabric will be rolling out in stages, with the goal that customers with Fabric capacity (F64 or higher) or Power BI Premium capacity (P1 or higher) have access to the Copilot preview by the end of March 2024. You don’t need to sign up to join the preview, it will automatically become available to you as a new setting in the Fabric Admin Portal when it has rolled-out to your tenant. When charging begins for the Copilot in Fabric experiences, you can simply count Copilot usage against your existing Fabric or Power BI Premium capacity. Check out the Copilot in Fabric docs for complete instructions and requirements and don’t hesitate to contact your Microsoft representative, partner, or leave a comment in the Fabric Community site if you have any questions.     

Let’s take a look at the latest features and integrations we are announcing in each of these areas.  

Microsoft Fabric

Bring your data into the era of AI

Learn more 

Let’s take a look at the latest features and integrations we are announcing in each of these areas.

Complete analytics platform: Govern and protect your Fabric data

Over the past few years, organizations have seen a massive increase in their digital footprint, leading to data fragmentation, growth, and blind spots across their data estate. When we announced the preview of Microsoft Fabric, we shared an array of administration, governance, and security capabilities in Fabric to help provide visibility across your tenant, insights into usage and adoption, and tools to secure and govern your data end-to-end.

We are now announcing an expansion of these governance and security capabilities through tighter integration with Microsoft Purview. In Fabric, you can now manually apply Purview Information Protection sensitivity labels to classify sensitive Fabric data—a familiar concept to the millions of Microsoft 365 users who employ these labels every day. We’ve also simplified audits by automatically capturing user and system operations in Microsoft Purview audit logs. Both sensitivity labels, and the audit integration are now generally available.

In addition to integrating Purview data security and compliance capabilities throughout Fabric, we are also infusing Fabric artifacts into the Microsoft Purview Data Map. The Data Map is automatically provisioned and attached to every Fabric instance by default; no set-up required. You can browse and search your Fabric and other assets across your data estate in the Microsoft Purview Data Catalog. For easy access to all these Purview capabilities, we’ve created a centralized page called the Purview Hub, currently in public preview, which serves as a gateway to Purview and contains insights into item inventory, sensitive data, and endorsement. Read the Fabric GA announcement blog to read about these features in more detail.

Lake-centric and open: Seamlessly connect your data sources to Fabric

The modern data estate spans multiple clouds, accounts, databases, domains, and engines, making it hard to gain insights from your data. With Microsoft Fabric, we’ve simplified how you bring data into OneLake through two key Fabric capabilities: Shortcuts and a new data replication capability called Mirroring.

Shortcuts enable your data teams to virtualize data in OneLake without having to move and duplicate it. You can use shortcuts to combine your data—spread across different clouds, accounts, lines of businesses, and domains—into a virtualized data product tailored to your specific needs. We are excited to announce the general availability of shortcuts for OneLake, Azure Data Lake Storage Gen2, Amazon S3, and Microsoft Dataverse. Furthermore, we’ve added features like “Link to Microsoft Fabric” in Power Apps that directly link Dynamics 365 and Power Platform data to Fabric. These links empower low-code app builders to quickly explore their data and drive action from insights.

We are also excited to announce Mirroring, a new, frictionless way to add and manage existing cloud data warehouses and databases in Fabric’s Synapse Data Warehouse experience. Mirroring replicates a snapshot of the database to OneLake in Delta Parquet tables and keeps the replica in sync in near real time. Once the source database is attached, features like shortcuts, Direct Lake mode in Power BI, and our universal security model work instantly. We will soon enable Azure Cosmos DB, Azure SQL DB, Snowflake, and Mongo DB customers to use mirroring to access their data in OneLake, with more data sources coming in 2024.

Finally, we are also making it easier to analyze the vast amount of work data you have in Microsoft 365 with native integration into Microsoft Graph, the unified data model for products like Teams, Outlook, SharePoint, Viva Insights, and more. Previously, Microsoft 365 data was only offered in JSON format, but it’s now also offered in Delta Parquet format for easy integration into OneLake.

With your data in OneLake, you can use domains, sub domains, and workspaces to organize your data into a logical data mesh. Doing so allows for federated governance and granular control while empowering everyone to find data using an intuitive, personalized data hub. Learn more about how you can optimize your data organization in OneLake here.

Empower every business user to work with data

Fostering a culture that empowers everyone to work with data and find data-driven answers to their questions is a vision shared by organizations around the world. And you can see why when data-driven organizations continually out-perform their counterparts. Organizations often start with business intelligence (BI) tools like Power BI which can provide the business with powerful insights and visuals. But achieving this vision requires more than just the right BI tool; it requires a well-orchestrated data estate that minimizes data fragmentation and makes it easy for business users to find continually up-to-date, accurate data. By combining Power BI and OneLake, your data estate finally has the tools you need to realize the goals of your data culture.

In May 2023, we announced Direct Lake mode in Power BI, now generally available, which provides a blazing fast, real-time connection to your data—ensuring only one copy of the data is created and your report is always up to date. We are announcing an expansion of Direct Lake mode to support Power BI semantic models on Fabric Warehouses, generally available, and stored credentials for Direct Lake semantic models, in public preview. Stored credentials will enable you to apply row-level security (RLS) on Direct Lake datasets, ensuring users can only access the data for which they are authorized. For those working with import-mode semantic models using the large semantic model storage, we are announcing the public preview of OneLake integration—enabling you to add your import-mode semantic models to OneLake and use it with other Fabric workloads.

Beyond enhancing our connection with OneLake, we are also announcing a set of new tools that make it even easier for business users to uncover the insights they need. This includes the public preview of Explore, a new feature that helps you learn more about your semantic model without building a report and DAX Query View which provides BI developers with an easier way to use DAX queries. You can learn more about all these announcements by reading the Power BI at Ignite blog.

AI-powered: Prepare your data for game-changing AI

Generative AI represents not just the next generation of AI, but one of the biggest changes in computing in the last decade. As Satya Nadella put it at Microsoft Build 2023, “We went from the bicycle to the steam engine with the launch of ChatGPT.” Turn-key AI solutions like Copilot are already having an immediate impact on the productivity of adopters by helping them focus on higher value activities. As mentioned above, we are thrilled to announce that Copilot in Microsoft Fabric is now in public preview, including the experiences for Power BI, Data Factory, Data Science, and Data Engineering. Learn more about Copilot in Fabric here.

However, these out-of-the-box solutions are only the beginning of the benefits generative AI can have on your organization. Organization-specific, or even team-specific, use cases can help your employees scale in amazing ways. These custom experiences require two key ingredients: a data platform that can help you unify, prepare, and model your data and an AI platform that can utilize this data with break-through AI models. Microsoft now has the ideal answer to both requirements: Microsoft Fabric and Azure AI Studio. The recently announced Azure AI Studio, in public preview, is a one-stop-shop to seamlessly explore, build, evaluate, and deploy AI solutions using state-of-the-art AI tools and machine learning models, grounded in responsible AI practices.

We are thrilled to announce the seamless integration between Azure AI Studio and Microsoft Fabric—powering a new era in AI-driven innovation. With this potent combination, you can confidently build AI solutions and custom models in Azure AI Studio using data integrated and cleaned in Microsoft Fabric. In Azure AI Studio, developers can run models against data from OneLake and any other data supported by Fabric shortcuts, including Azure Data Lake Storage Gen2 and Amazon S3. Azure AI Search can store, index, and retrieve data, including vector embeddings, from any of these sources through OneLake. Learn more about this integration in the Azure AI Studio and Microsoft Fabric blog.

Maximize your existing Microsoft analytics investments

Existing Azure Synapse Analytics customers

The next generation of Azure Synapse Analytics has fueled the creation of Microsoft Fabric. With this solid foundation, we can empower new, unprecedented ways of deploying pipelines, data warehousing, data engineering, data science, and real-time analytics technologies to simplify and increase the efficiency of your solutions. But what does this mean if you are an existing Azure Synapse Analytics customer?

We will continue to fully support the Azure Synapse Analytics platform as a service (PaaS) product. This includes supporting our users fixing product bugs, and not compromising the security of the platform in any way. You can continue to deploy, operate, and expand your Azure Synapse Analytics solution.  

However, you’ve likely already started thinking about a Microsoft Fabric future for your analytics solutions. To help you on this journey, we’ve published an end-to-end guide to Fabric blog for existing Synapse customers to help you plan your upgrade strategy of your current workloads.

Existing Azure Databricks customers

We believe the future of analytics and AI applications is built on an open and governed lakehouse foundation, enabling you to combine the best elements of data lakes and data warehouses. That’s why Microsoft Fabric embraces an open and governed lakehouse as the underlying SaaS storage, standardizing on Delta Parquet format—the same format our Azure Databricks customers use today.

This means Azure Databricks customers can seamlessly choose the analytics capabilities from Microsoft Fabric, Azure Databricks, and other Azure products that work best for their scenarios, without the pain of integration. Using the ADLS Gen2 shortcut, you can bring your Azure Databricks data into OneLake without copying the data.

With that data in OneLake, an easy first use case is to use Direct Lake mode in Power BI to create a blazing fast, real-time connection to your Databricks data for your BI reports. And as a first party offering, Azure Databricks customers have easy access and native integration to many other Azure services—on top of the same open and governed lakehouse—reducing data estate fragmentation. You can learn more during the Microsoft Ignite 2023 session I am delivering, “Make your data AI ready with Microsoft Fabric and Azure Databricks.”

Go further with partners

As always, you don’t have to do this alone. Our top global partners, Accenture and Capgemini have over 4,200 individuals trained on Microsoft Fabric and are ready to help you meet your analytics goals.

“At Accenture and Avanade, we are ready to securely unify data, analytics, and AI for our clients with Microsoft Fabric. We have launched the Microsoft Fabric University that already has trained 3,000 data professionals to be fluent in Fabric, and we are taking lessons learned from building our own operations on Fabric to accelerate AI opportunities with our clients across the globe.”—Simon Thomas, Data and AI Global Lead for Avanade. 

“Through our strategic partnership and the transformative capabilities of Microsoft Fabric, we are accelerating data value creation for our customers. Capgemini’s investment in scaling Fabric competency is paving the way for excellence through our Fabric-specific assessment and certification via Capgemini’s OCEANS Tool, provides enterprises with the opportunity to unleash unified data and drive their organizations forward.”—Niraj Parihar, Insights and Data CEO of Capgemini.

With the surge of customer demand for Fabric, many partners have already completed the first wave of pilot projects during preview—helping customers unlock the early potential of Fabric. Our Microsoft engineering team worked closely with these partners to enhance their capacity and capabilities on Fabric, ensuring the successful delivery of customer implementations.

For example, Microsoft partner SDK Tek Services Ltd. implemented a Fabric solution with Regional Oil Sands Operating Alliance that reduced their data compilation time by 85 percent, enabling them to focus on their core business instead of managing data. In another project, Sonata Software worked with Alltech to empower their business users with self-service access to analytics and to remove the burden on their IT department. You can find more Fabric partners and their stories featured on Fabric partner website.

As a sample, here are some of the partners that successfully completed customer pilot project(s) on Fabric. Each of these partners are well positioned to drive meaningful business outcomes with Microsoft Fabric:

Learn more about the Fabric momentum driven by services partners in our Fabric Partner blog.

Join the ISV community building on Microsoft Fabric

Microsoft Fabric was created with ISVs in mind—built from the ground up to be extensible and open at every level. Fabric provides a rich set of capabilities that allow ISVs to accelerate their application development and create disruptive industry-leading offerings. This includes a new public preview, Fabric REST API that enables ISVs and our users to build custom applications, integrated systems, and automate deployment of environments within Fabric.

As an example, the London Stock Exchange Group, a leading provider of financial markets infrastructure, are adding their technology to Microsoft Fabric to give their customers easier data discovery and access, greater interoperability, and cost-effective digital rights management. Esri, a leading geographic information system (GIS) software company, have combined their industry-leading spatial analytics, powered by their ArcGIS, with Microsoft Fabric to accelerate time to insights and reveal unexplored patterns, trends, and connections for customers. SAS have infused their Intelligent Decisioning analytics technology with Microsoft Fabric to drive real-time interactions and define the next best actions at scale, providing unprecedented ability to automate decisions across the enterprise.

Learn more about the vibrant ecosystem of ISVs building on Fabric.

Get started with Microsoft Fabric

New customers can try out everything Fabric has to offer by signing up for afree 60-day trial—no credit card information required. To start your free trial, sign up for a free account (Power BI customers can use their existing account), and once signed in, select start trial within the account manager tool in the Fabric app. Existing Power BI Premium customers can already access Microsoft Fabric by simply turning on Fabric in their Fabric admin portal. Learn more on the Fabric get started page.

If you are considering purchasing Fabric, there is a selection of pricing options to help you minimize your cost and maximize your return. In June 2023, we announced pay-as-you-go prices for Fabric that allow you to dynamically scale up or scale down and pause capacity as needed. We are excited to announce reservation pricing for Fabric that will allow you to pre-commit Fabric Capacity Units in one-year increments, helping you save up to 40.5 percent over the pay-as-you-go prices (excluding Power BI Capacity SKUs). You can pay for all your consumption, across every Fabric workload, with a single, unified bill and use the Capacity Metrics app to understand and track your usage. We are also announcing OneLake BCDR and cache storage prices, expanding on our already announced OneLake storage pricing. Check out all these pricing options on the Microsoft Fabric pricing page.  

With these announcements, current Power BI Premium per capacity customers have an additional pricing option to experience everything Fabric has to offer. Along with the pay-as-you-go option, Fabric customers also enjoy smaller compute SKUs that start far below the entry level P-SKU. And since Fabric SKUs are eligible for Microsoft Azure Consumption Commitment (MACC), Fabric customers can deprecate their Fabric spend against their MACC commitment.

Join us at the Microsoft Fabric Community Conference

If you would like to gain hands-on experience with Microsoft Fabric and learn directly from the people who created it, join us from March 24-29, 2024 at the Microsoft Fabric Community Conference. We will bring together experts from Microsoft and the global analytics community to share, demo, and discuss the latest developments in Microsoft Fabric, Power BI, and more. At this event, you will be able to learn from top data experts and AI leaders while having the chance to interact with your peers and share your story. We hope you will join us and see how cutting-edge technologies from Microsoft can enable your business success with the power of Microsoft Fabric. Register today.

Build the skills you need to take full advantage of Microsoft Fabric

We’re announcing an enhanced portfolio of Microsoft Credentials, including the new “Microsoft Certified: Fabric Analytics Engineer Associate” certification along with several new Microsoft Applied Skills covering scenarios using Microsoft Fabric, like implementing lake houses, data warehouses, and real-time analytics solutions. These credentials are coming in the next months.

Ready to dive into Fabric and start preparing for these credentials? Take the “Microsoft Fabric Challenge” as part of the Microsoft Learn Cloud Skills Challenge, Ignite edition. Skill up for in-demand technical scenarios and enter to win a VIP event pass for the next Microsoft Ignite or Microsoft Build. Terms and conditions apply. See official rules for more details. The challenge is available now through January 15, 2024, so get started now to avoid missing a beat.  

Engage with a vibrant community of data professionals to get all your Fabric questions answered, suggest new features, stay current on the latest updates, and so much more. 

Explore additional resources for Microsoft Fabric

If you want to learn more about Microsoft Fabric, consider:

• Signing up for the Microsoft Fabric free trial.
• Visiting the Microsoft Fabric website.
• Watch the Microsoft Fabric Ignite sessions. 
• Reading more in-depth, technical blogs on the Microsoft Fabric Updates Blog.
• Exploring the Fabric technical documentation.
• Attending the Supercharge organizational analytics and democratize insights webinar to get an end-to-end view of Microsoft Fabric.
• Joining the Fabric community. 
• Learning more about Azure Innovate, our new offering to help you adopt AI. 

The post Prepare your data for AI innovation with Microsoft Fabric—now generally available appeared first on The Microsoft Cloud Blog.

Organizations like 3M, Prada Group and Campari have been testing copilot features in Dynamics 365 and Power Platform firsthand, while General Motors, Visa, KPMG, AGL, Data #3, Bupa, NAB, Powerlink Queensland, Rest Super and Suncorp are now part of the Microsoft 365 Copilot Early Access Program. Our collaboration with IBM is helping clients accelerate the deployment of generative AI with its new Azure OpenAI Service offering, and we are enabling thousands of organizations like PepsiCo, Vodafone and Voya Financial with Azure cloud services through our expanded partnership with Oracle. To empower employees across 34 countries, Grupo Bimbo developed a solution with an integrated copilot in two weeks to help prevent non-compliance and save time when asking questions about company policies. All of Microsoft’s AI-powered copilots are backed by our Copilot Copyright Commitments to extend IP and legal protection to enterprise customers who use these services, building upon our AI Customer Commitments.

Helping healthcare professionals and providers focus on patient care and support through secure data automation and training

By securely centralizing its data in an AI-powered intelligent data platform on Azure, Mercy is able to use generative AI to help patients schedule appointments more efficiently and better understand their lab results. Mayo Clinic is deploying Microsoft 365 Copilot to ease the burden of administrative demands on healthcare providers so they can focus on patient care, while Duke Health is partnering with Microsoft to responsibly and ethically harness the potential of generative AI and the Microsoft Cloud to redefine the healthcare landscape. To speed up care and improve patient experiences, MultiCare has automated its medication reconciliation process and increased efficiency by 175% with help from Microsoft and partner 3Cloud. By consolidating data such as lab results, medications and plan coverage in the cloud, Blue Shield of California is making services more accessible to members while reducing the cost of care. With help from Healthanea, France-based insurance company AXA is connecting hospitals, pharmaceuticals, health tech solutions and insurers to provide patients with reliable and accurate health information while protecting sensitive health data through the Microsoft Cloud for Healthcare. Paige and Microsoft are collaborating to transform patient care by building the world’s largest image-based AI to detect cancer with higher accuracy. To ensure patient confidentiality and automate threat reporting, Hamad Medical Corporation is working with Mannai to proactively detect and respond to cyber threats while providing real-time visibility to its executives. Sanofi is improving training and collaboration for employees in different locations with HoloLens 2 — saving two weeks of training time for its production line operators and meeting increased demand for pharmaceuticals.

Empowering government workers, non-profit volunteers, students and teachers to expand social impact and save costs with data and AI

Working with AltaML, the Government of Alberta has built an AI-powered tool to help firefighting duty officers become more confident in predicting and sustainably managing the risk of wildfires, creating the potential to save up to $3 million in annual operating costs. In the U.K., Aberdeen City Council is making it easier for workers to access social care data within minutes to provide faster and more accurate service to vulnerable citizens while saving more than $2 million annually on manual data collection. To help ensure seamless service to citizens and prevent cyberattacks to critical infrastructure like traffic light systems and utilities, the City of Brampton is helping its IT team improve its cybersecurity maturity and reduce attack alerts by 70% with help from partner Difenda. To quickly scale the creation of thousands of audiobooks and reduce volunteer labor, nonprofit Project Gutenberg is making its e-books more accessible to people with visual impairments by using text-to-speech capabilities in Azure AI and Microsoft Fabric. German-based Nationalpark Bayerischer Wald is using AI to help research students pre-classify wildlife images in two days instead of 30 — saving 95% on the cost of wildlife monitoring and distance measurement. Working with teachers to offer more individualized support to students, New York City Public Schools has developed a secure, custom AI-powered teaching assistant on Azure OpenAI to answer questions and give real-time feedback.

Providing financial services employees and customers with AI capabilities for more meaningful and personalized interactions

Ally Financial launched a proprietary platform as its foundation for generative AI innovation across the company, including live summarization of customer service calls so employees can spend more time focusing on customer interactions. With Azure OpenAI, Swiss investment firm Vontobel is boosting employee productivity in programming and data analysis, while automatic payments company Sem Parar is responding intelligently and contextually to customer inquiries to help them resolve their questions more quickly. Emirates NBD is empowering more than a thousand developers with its coding assistant leveraging the capabilities of GitHub Copilot X, while automating repetitive tasks and content generation for employees using Microsoft 365 Copilot. MetLife is helping pet parents access health records and connect with veterinary technicians more easily through its app built with AI-powered search and machine learning capabilities. With a focus on making financial services more accessible in Qatar, CWallet has saved $1 million by building its secure and compliant fintech platform on Azure to meet data regulations in the Middle East, and now plans to explore AI capabilities to simplify customer transactions.

Equipping manufacturing workers with AI-driven data and insights to improve customer support and streamline complex operations

Using Azure OpenAI, electrical equipment manufacturer ABB is integrating generative AI into its platform and applications to provide industry executives, specialists and engineers with real-time insights for better decision making and increased productivity. To reduce waiting time for customers, Dubai-based BMW Group importer AGMC is building an AI solution to more quickly locate and transport vehicles from its largest service center. By creating a scalable AI platform in Azure, Swedish steel manufacturer Epiroc is helping automate complex processes for its global employees to ensure consistent quality of its products, increase efficiency and reduce waste. Printer and imaging company Lexmark has improved its technician support efficiency by 20% with AI-driven predictive modelling, contributing to a 20% increase in customer satisfaction ratings. Xiaomi has developed an AI service bot with Power Virtual Agents to handle customer questions more efficiently and is better using Azure Translator to quickly generate product manuals in multiple languages. Indian textile company Arvind is leveraging the integrated AI capabilities of Power Apps to reduce sampling errors by 90%, production errors by 70% and order turnaround time by 30%.

Enhancing employee productivity and providing customers with AI-enhanced solutions across professional services 

Lumen Technologies is empowering employees across organizations with Microsoft 365 Copilot, making it easier for customer service teams to access repair manuals and helping sales teams summarize actionable steps from customer communications. In France, consulting firm Arthur D. Little is unifying its complex, unsorted data while maintaining data confidentiality and maximizing human capital — helping its consultants prepare for client meetings faster and curate presentation content in 50% less time. Jacobs Solutions is making it easier for staff to access and share high-quality data by integrating Microsoft Fabric with its end-to-end platform for seamless data management and advanced AI capabilities. INSPIRE Environmental is reducing costs and client turnaround time for image analysis of complex ocean data using Azure AI and machine learning. By leveraging Azure OpenAI, Orca Security is speeding up response times to customers and increasing data security while meeting regulatory compliance, Amadeus is working with Microsoft and Accenture to assist corporate travelers with trip logistics through its interactive assistant — as well as building a plug-in for Microsoft 365 Copilot, and professional services firm Atera is helping IT technicians focus on high value work while improving efficiency by 10x with its AI-powered platform.

Today’s AI advancements have also generated new opportunities for digital natives to build upon their cloud-first strategies and shape the future of industry. To combat and identify cyber financial crime behaviors, SymphonyAI developed an AI assistant to help investigators securely and automatically collect, collate and summarize financial and third-party information. By applying AI capabilities across thousands of interactions each day, CallMiner is unlocking insights that empower organizations with a better understanding of the customer journey. Striving to be a leader in empathetic personal intelligence, Inflection AI is developing an AI chatbot that helps people accelerate development while reducing downtime. Building upon its cloud-based solution on Azure, Elastic is giving customers more focused answers to search queries by combining internal company knowledge with context from actual documents. With Azure OpenAI and Azure Cognitive Services, DeepBrain AI is cutting down chatbot development time and reducing manual processes while increasing language understanding and translation capabilities; while Commerce.AI has already started driving up to 50% increases in productivity for clients with its consumer sentiment analytics solutions.

We have a collective opportunity to put generative AI to work to help solve the biggest challenges facing organizations, industries and society today. Microsoft is helping customers and partners prioritize work and pragmatically innovate with generative AI to meet their most pressing business needs. From our unwavering commitment to building products responsibly and securely to how we engage with our customers and partners, I am proud of the trust we have forged along the way. Whether you are leveraging our copilot capabilities across the Microsoft Cloud, working with our partners to apply industry-specific cloud and AI solutions or seeking to co-innovate and co-develop to build custom solutions, I look forward to working alongside you to accelerate your AI transformation.

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