Now you can get help with all of this and more by simply asking an AI agent to take care of it — while you drink a second cup of coffee and focus on your team’s long-term strategy.

An agent can tackle certain tasks with you or for you, from acting as a virtual project manager to handling more complex assignments like reconciling financial statements to close the books. Microsoft 365 Copilot is already a personal assistant that helps with everything from tedious daily duties to jumpstarting creative projects. Using it to interact with various agents brings a new world of possibilities for organizations to empower their employees, drive business and accomplish even more.

Agents can operate around the clock to review and approve customer returns or go over shipping invoices to help businesses avoid costly supply-chain errors. They can reason over reams of product information to give field technicians step-by-step instructions or use context and memory to open and close tickets for an IT help desk.

“Think of agents as the new apps for an AI-powered world,” says Jared Spataro, Microsoft’s chief marketing officer for AI at Work. “We’re rapidly adding new capabilities to tackle individuals’ biggest pain points at work and drive real business results.”

What are agents, anyway?

An agent takes the power of generative AI a step further, because instead of just assisting you, agents can work alongside you or even on your behalf. Agents can do a range of things, from responding to questions to more complicated or multistep assignments. What sets them apart from a personal assistant is that they can be tailored to have a particular expertise.

For example, you could create an agent to know everything about your company’s product catalog so it can draft detailed responses to customer questions or automatically compile product details for an upcoming presentation.

Other agents can do even more, acting on your behalf, like one that helps fulfill sales orders — freeing you up to focus on building new customer relationships. Having agents handle some of these routine needs can boost productivity across industries, from manufacturing and research to finance and retail, helping businesses save time and money.

You can use ready-made agents in Microsoft 365 and Dynamics 365, or build custom agents to help with more specific needs in Copilot Studio.

Imagine you’re a salesperson with big quarterly goals to meet. Copilot acts as your personal assistant, drafting emails, recapping a meeting you missed and helping you design a polished sales presentation. Meanwhile, an agent specialized in sales lead generation works autonomously in the background to find new prospects you can follow up with later in the week. Copilot partners on daily tasks, and your purpose-built agent uses its customized skills to help you meet your end-of-quarter goals.

AI agents are not only a way to get more value for people but are going to be a paradigm shift in terms of how work gets done.

Agents are not new. Microsoft has done extensive research in the area and even created a multi-agent library last year for developers around the world, work that helped shape what agents can do today.  They’re getting more attention now because recent advances in large language models (LLMs) help anyone — even outside the developer community — communicate with AI. That agent-LLM duo makes AI tools more tangibly useful.

“People expect AI to do things for them,” not to just generate language, says Ece Kamar, the managing director of Microsoft’s AI Frontiers Lab. “If you want to have a system that can really solve real world problems and help people, that system has to have a good understanding of the world we live in, and when something happens, that system has to perceive that change and take action accordingly.”

Agents are like layers on top of the language models that observe and collect information, provide input to the model and together generate an action plan and communicate that to the user — or even act on their own, if permitted. So both agents and models are equally important pieces of the puzzle, as far as generative AI tools go.

Agents will become more useful and able to have more autonomy with innovations in their three necessary elements: memory, entitlements and tools.

Memory helps provide continuity so that each time you ask for something, it isn’t like starting from scratch.

“To be autonomous you have to carry context through a bunch of actions, but the models are very disconnected and don’t have continuity the way we do, so every prompt is in a vacuum and it might pull the wrong memory out,” says Sam Schillace, Microsoft’s deputy chief technology officer. “It’s like you’re watching a stop-motion animation, one isolated frame after another, and your mind puts it into motion. The clay model doesn’t move on its own.”

To build up the memory infrastructure to address this, Schillace and his team are working on a process of chunking and chaining. That’s essentially what it sounds like: They’re experimenting with dividing up interactions in bits that can be stored and linked together by relevance for faster access, akin to a memory — like grouping conversations about a certain project so an agent can recall those details when you ask for a status update and not have to search through its entire database.

The work with entitlements and tools is making sure agents have secure access to, or are entitled to, information they need in order to accomplish things for you, with your permission — like who your boss is, for example — and to the computer programs they need to take action on your behalf, like Teams and PowerPoint.

How to use and build agents for work

You can already create and publish agents in Microsoft 365 Copilot that can help you in your daily work as easily as you’d create a spreadsheet or presentation — no coding skills required.

You don’t need to be a developer to build agents using Copilot Studio, either. Anyone can connect them to relevant business data such as emails, reports and customer management systems so they can perform tasks and provide insights.

And you’ll soon be able to enlist new agents in Microsoft 365 to help with common workflows and tasks. Interpreter in Teams will provide real-time speech-to-speech translation during meetings, for example, and you can opt to have it simulate your voice. The Employee Self-Service Agent will simplify human resource and IT help desk-related tasks like helping workers resolve a laptop issue or find out if they’ve maxed out certain benefits, and it can connect to company systems for further customization in Copilot Studio.

Microsoft Dynamics 365 will have agents as well for a range of common business workflows across sales, supply chain, finance and customer service functions.

And every SharePoint site will soon come equipped with an agent tailored to your organization’s content that allows employees to quickly tap into these vast knowledge bases and find exactly what they need in seconds, whether it’s project details buried in a workback schedule or a summary of a recent product memo.

Developers have even more options. With the new Azure AI Agent Service, you’ll be able to choose from small or large language models to orchestrate, develop and scale agent-powered apps to streamline and automate complex workflows like order processing and customer data synchronization. It provides a software development kit with tools for developing agents, allowing you to efficiently integrate agent capabilities using Visual Studio Code and GitHub.

One type of model, OpenAI’s recently announced o1 series, can bring more advanced reasoning capabilities to agents, allowing them to take on more complicated tasks by breaking them down into steps — like getting the information someone on an IT help desk would need to solve a problem, factoring in solutions they’ve tried and coming up with a plan.

You can also use the power of agents in LinkedIn; the platform’s first agent can help recruiters with hiring.

Assessing risk for autonomous action

There are extra safety considerations with agents that can act autonomously, and Microsoft is focused on making sure agents only access what you want them to, says Sarah Bird, the company’s chief product officer of Responsible AI.

“Agents certainly up the stakes from a responsible AI point of view,” Bird says. “So we have to have much, much lower error rates. And there’s many more nuanced ways in which something could be an error. This is the big challenge with agents.”

But the same responsible AI foundational playbook for other AI applications can be used to assess and mitigate risk with agents, she says.

The new Copilot Control System helps IT departments manage Copilot and agents with data access and governance, management and security controls, as well as measurement reports and tools to track adoption and business value.

Many agents, like those created for Microsoft 365 and Dynamics 365, include “human in the loop” approvals, where people are required to take the final step of reviewing and sending an email the Sales Order Agent wrote, for example. And for agents developed in Copilot Studio, authors can review the records to see which actions the agent took and why.

The key is to focus on testing and moderating to ensure accuracy, Bird says, and for organizations to choose the right starting point for their needs.

“We will of course make progress by building on the foundation we already have, so we’re starting the journey from a strong place,” Bird says.

Looking back — and into the future

Technologists have long been excited by the idea of autonomous systems working side-by-side with people to help them, says Kamar, who has been working on AI agents since 2005 and even wrote her Ph.D. thesis on the topic in 2010. The hurdle was that “we lacked that general problem-solving power” on the back end, she says.

With LLMs, “we finally have this missing component,” she says. “Now we can bring back a lot of the ideas from our decades of research.”

Going forward, Kamar envisions a new ecosystem or marketplace of agents, sort of like how apps empower people to do more with their smartphones.

Agents already have “the basic building blocks of what it takes to complete a task,” she says. “Like observing, ‘I can see your meeting is taking longer; I should delay the next meeting.’”

They’re getting more helpful as they gain autonomy through the innovations in memory and entitlements. They’re relieving pain points for employees by helping with things like expense reporting, project management and meeting facilitation. And they’re driving exponential impact for businesses by taking on duties like alerting supply chain managers to low inventory and then automatically reordering to help drive sales and keep customers satisfied.

Agents matter because they “open up a whole set of opportunities for working with people for getting tasks done, and that’s what we expect from AI systems,” Kamar says. “AI agents are not only a way to get more value for people but are going to be a paradigm shift in terms of how work gets done.”

And this is just the beginning. Copilot is set to evolve with new capabilities like Copilot Actions, designed to handle routine tasks that can bog down employees like summarizing emails missed during time off, compiling agenda items and generating monthly reports. More capabilities like these are coming over the next year to lift the weight of work for employees and teams.

“Copilot will empower every employee to do their best work in less time, and focus on more meaningful tasks,” Spataro says. “And agents created in Copilot Studio will transform every business process, helping companies streamline operations, enhance collaboration and drive innovation at scale.”

Illustrations by Michał Bednarski / Makeshift Studios

The post AI agents — what they are, and how they’ll change the way we work appeared first on The Microsoft Cloud Blog.

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.

Next steps for AI transformation

Business Opportunity of AI

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• Check out the top 5 AI trends to watch from IDC and Microsoft.
• Explore Microsoft AI solutions.
• Assess your AI readiness.
• Build a strategic plan for AI.

The post How real-world businesses are transforming with AI appeared first on The Microsoft Cloud Blog.

If you’ve read The AI Strategy Roadmap: Navigating the stages of value creation, you’re already familiar with the five drivers of AI value. This research paper and blog series explore what organizations need to succeed with AI, including establishing a clear strategy and securing senior leadership support. Our research found that AI success isn’t solely about technology—strategic, organizational, and cultural factors are equally critical.

We’ve heard from customers that it’s crucial to consider how prepared your organization is for this technological leap. In this blog post, we’ll share some learnings to help you gauge your AI readiness so you can plan how to move forward effectively.

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Assess your AI readiness

When I meet with customers, they often share that they’re not sure where to start when it comes to assessing their readiness for large-scale AI transformation. It requires a strategic approach to understand your current capabilities, identify areas for improvement, and align these efforts with your business priorities to focus on the areas that will deliver the highest value. We’ve created a new AI Readiness Wizard to help you get started in evaluating your preparedness. Use the assessment to:

• Evaluate your current state. The assessment includes questions that help you determine how well your AI objectives align with your business priorities and the effectiveness of your current data access and security measures. Understanding your starting point is essential for identifying the right next steps.
• Identify gaps. By scoring your responses in the assessment, you can identify focus areas that may need more attention, such as business strategy, AI governance principles, or team expertise. This step helps prepare you for formulating a clear path forward and addressing specific areas for improvement.
• Plan your next steps. Based on your scores, the assessment categorizes your readiness into one of five stages: exploring, planning, implementing, scaling, or realizing. Each stage represents a different level of AI maturity and preparedness, guiding you on where to focus your efforts:
  • Exploring—At this stage, focus on building your AI strategy and experience. You might want to learn about key AI concepts and explore how AI is transforming the business landscape.
  • Planning—Here, you’ll concentrate on formalizing your business strategy. Look at the ways other organizations are driving value with AI and develop an informed plan for prioritizing AI projects.
  • Implementing—This stage involves focusing on leadership support and scaling AI expertise. Ensure you have the necessary resources and expertise to execute your AI initiatives effectively.
  • Scaling—At this level, you’ll aim to create an organization and culture of innovation. Scale your AI initiatives and begin analyzing the impact of AI in your organization.
  • Realizing—Focus on fostering continuous innovation within every team and the organization. Aim to embed AI technology in your operations and culture for sustained value creation.

Assessing your AI readiness requires a strategic approach to understand your current capabilities and identify areas for improvement.”

This assessment offers a structured way to reflect on your current practices and identify key areas to focus on as you develop your strategy for the future. You’ll also find resources for each stage to help you advance.

How AI is reshaping industries

Financial services

We’re seeing the financial services sector make rapid advancements in AI readiness, with 40% of organizations currently in the “implementing” stage. According to recent research, 70% of financial services organizations are using big data analytics in their operations, and 27% have piloted AI applications or AI-assisted solutions.

Additionally, more than half are allocating budgets for AI projects, providing AI-specific training, and fostering internal knowledge sharing. This commitment has enabled 27% of firms to reach the “scaling” and “realizing” stages, surpassing the 25% industry benchmark.

Healthcare

The healthcare industry shows a diverse mix of AI readiness, with 28% of organizations in the “scaling” and “realizing” stages, according to one study. Notably, 44% are actively laying the groundwork in the “exploring” and “planning” stages, focusing on learning and developing their AI strategies. The sector leads in overall maturity, but 14% of organizations report receiving no discernible value from AI, highlighting challenges in measuring the impact of AI investments within their broader business strategies.

Manufacturing

With 38% of organizations in the manufacturing industry still in the “exploring” and “planning” stages, many are focused on learning and developing AI strategies. Research shows that manufacturers actively deploy AI across operations, research and development (R&D), and supply chain management to address key business challenges. 25% believe they achieve significant value from AI implementation.

Manufacturing organizations also have a greater likelihood of appointing AI leadership, which we’re learning enables them to excel in fostering the operational and cultural factors that support value creation, resulting in more firms reaching the “realizing” and “scaling” stages.

Retail

We’ve seen a wide range of AI readiness in the retail sector. While some retailers use AI to enhance customer relationships and drive revenue, research shows that 43% are still in the “exploring” and “planning” stages. This divide is evident between those who adopted cloud technology early—about 25%—and those who have yet to embrace it, with 8% still not using cloud services. Notably, 21% of retailers have a chief AI officer, highlighting commitment among leadership to embed AI into their operations.

Map your AI journey

After assessing your readiness and gathering insights, you’ll want to outline a plan to address gaps and advance through the stages of AI maturity. Our findings at Microsoft have shown that crafting a strategic plan outlining how AI technology will fit into your organizational framework is a great place to start. The AI Strategy Roadmap: Navigating the stages of value creation is a valuable resource designed to guide you through this process.

As you define your AI strategy and roadmap, you might find our e-book, Building a Foundation for AI Success: A Leader’s Guide, helpful in identifying key focus areas for AI implementation.

The post A strategic approach to assessing your AI readiness appeared first on The Microsoft Cloud Blog.

At the heart of this initiative are industry prompts in Copilot Lab and industry templates in Microsoft Copilot Studio—two platforms tailored to meet the unique demands of various businesses. These platforms are not just about providing tools; they’re about delivering a seamless experience that aligns with our customers’ operational workflows, enhancing productivity and fostering creativity.

Copilot Lab serves as a portal for innovation, offering diverse industry prompts that cater to the specific needs of job functions and industries. Getting up to speed on AI prompts can be challenging from both a technical and practical standpoint. If AI prompts are vague or lack necessary details, AI models can produce off-target responses. Copilot Lab provides a repository of prompts that resonate with industry professionals, enabling them to generate meaningful outcomes with Microsoft Copilot’s assistance.

Copilot Studio includes industry copilot templates that can simplify the adoption process for businesses. These templates incorporate industry-specific business logic and custom prompts that streamline operations and decision-making processes. These templates, available in the Copilot Studio Gallery, represent fully working copilots that often only require configuration or integration for an organization to adopt them.

As we continue to build and co-create, our vision is to not only enhance the capabilities of Microsoft Industry Clouds but also to help redefine the way industries operate. By providing accelerators that drive mainstream adoption and co-building with industry partners, we’re setting a new standard for industry solutions.

Copilot Lab

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Industry AI prompts in Copilot Lab

In our continuous pursuit of empowering organizations across various industries, Microsoft has introduced a suite of industry-specific prompts within Copilot Lab. These prompts are a culmination of our efforts to provide a more context-aware AI experience that leverages users’ domain expertise to drive better outcomes. Our new industry prompts help customers quickly get started using Copilot for sector, job, and role-specific scenarios and can be customized with domain-specific details, best practices, and industry context to reduce trial and error and ensure high-quality output. These prompts can create an interactive experience for sector-, job-, and role-specific users, which can enhance prompts and deliver tailored responses, continually improving based on user interactions.

The genesis of these prompts was a collaborative effort, drawing on insights from industry professionals to ensure quality and relevance. The initiative begins with the financial services, retail, and manufacturing industries, introducing 24 industry-specific prompts within Copilot Lab, marking the start of a broader vision to integrate industry-specific intelligence into business operations.

These prompts are readily accessible in Copilot Lab, where users can select prompts that resonate with their professional needs. They are designed to help users ask relevant and specific questions, enabling Copilot to generate insights from data that are finely tuned to their industry’s nuances.

The introduction of these prompts is part of our broader vision to bring industry-specific intelligence to the forefront of business operations. By providing these tailored tools, we aim to enhance productivity and foster innovation within the Microsoft 365 environment.

Accessing these prompts is simple. Within Copilot Lab, a collection of pre-built prompts categorized by industry. Users can select the one that fits their role, and let Copilot do the rest. Users can further customize the prompts with domain-specific details and best practices.

Industry copilot templates in Copilot Studio

Industry copilot templates in Copilot Studio help users streamline the adoption of AI solutions across various sectors, providing pre-built dialogs, intents, entities, prompts, and actions that can be easily customized and extended according to the user’s needs using a low-code/no-code experience.

The templates offer a quick and efficient way to get started with AI, with configurations and rollout typically taking only a few hours. They include publicly accessible and customizable data sources, allowing customers to change the default data source with their own to get the copilot ready for business. This feature is particularly beneficial for industries that require rapid deployment and flexibility, such as retail and sustainability.

For instance, the sustainability insights template in Microsoft Copilot Studio empowers users with easy access to data and insights regarding a company’s sustainability goals and progress, while the Copilot template for store operations is designed to enhance the efficiency of retail frontline workers by providing easy access to store procedures and policies. These templates were part of the Microsoft Copilot template gallery unveiled at Microsoft Build 2024 and represent Microsoft’s commitment to empowering users with AI tools that are both powerful and adaptable to their specific industry needs.

Copilot Studio is available worldwide, across 22 datacenters, and supports multi-lingual experiences, making it a versatile tool for global enterprises. The studio’s capabilities are continually expanding, with support for 23 languages and growing, helping to ensure that users can build solutions and respond in their preferred language.

For more detailed information on how to utilize these new features and to stay updated on future releases, users can refer to the resources provided by Microsoft Copilot Studio.

Learn more about industry-specific AI tools

Microsoft remains dedicated to empowering customers through innovation. Our latest offerings in Copilot Lab and Copilot Studio reflect our commitment to providing industry-specific AI tools that are not only powerful but also intuitive and accessible. By continually investing in these technologies, we aim to help ensure that organizations, regardless of size or sector, can harness the full potential of AI to drive efficiency, creativity, and growth.

Copilot learning hub

Learn how to use Microsoft Copilot based on your role

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Get started by exploring detailed guides and information on our industry prompts and templates at Copilot Lab and Copilot Studio. Learn more and stay informed about Microsoft’s advancements in AI by exploring Copilot for Microsoft 365 Tech Community Blog and the Microsoft Industry Blog for insightful articles, or discover more at Copilot learning hub. Together, let’s shape the future of industry innovation with AI.

The post Innovating at the speed of AI: Microsoft’s industry Copilot solutions appeared first on The Microsoft Cloud Blog.

In the ever-evolving world of technology, AI stands out as a beacon of transformative power, heralding a new era of innovation and opportunity. With a diffusion rate faster than any other technology to date, it is imperative to recognize that AI is not just a technological leap but a global opportunity that transcends borders, industries, and cultures.

Reflecting on my recent discussions during Microsoft’s first AI Tour in India, I’m thrilled by the seismic shift underway in India’s AI landscape. India’s GDP is on track to grow from about USD3.5 trillion to USD5 trillion in the next three years,¹ fueling expected digital technology growth beyond 20% in the same period.² Equally impressive is how the country’s talent and innovative spirit are propelling us into a new era of technological advancement. In fact, India boasts one of the world’s largest pools of AI developers, with more developers contributing to GitHub than almost anywhere else in Asia. Indian AI projects on GitHub account for a quarter of the global total. Simply put, India’s role in shaping the future of AI is undeniable.

Through the lens of India’s vibrant innovation ecosystem, we witness firsthand the remarkable potential of AI to redefine the way businesses operate, solve complex challenges, and create unparalleled value for customers and communities alike.

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Genpact’s AI Guru: Empowering teams through generative AI

The deployment of Genpact’s AI Guru, a generative AI chatbot, exemplifies the transformative impact of AI on employee learning and development. By leveraging Microsoft Azure OpenAI Service, Genpact, a global professional services firm, has revolutionized its internal learning platform, enabling employees to access a wealth of knowledge and expertise at their fingertips. AI Guru assists in everything from IT migration projects to providing management advice, showcasing the power of AI to enhance team collaboration, problem-solving, and productivity.

“Today it’s a learning companion,” said Prashant Shukla, who heads learning and content management for Genome, the company’s online learning platform and knowledge base for AI Guru. “The next step is guiding people on skills they should be learning. In future, we look at this as a coach for specific roles.”

This initiative not only boosts employee engagement and retention but also underscores the importance of continuous learning and adaptation in today’s fast-paced business environment.

Shiksha copilot: Revolutionizing education with AI

In the realm of education, the Shiksha copilot project, developed in collaboration with the Sikshana Foundation and powered by Microsoft Azure OpenAI Service, demonstrates the incredible potential of AI to enrich teaching and learning experiences. By generating customized lesson plans, activities, and resources in minutes, Shiksha copilot enables teachers to deliver more engaging and effective instruction, particularly in resource-constrained settings.

“Obviously, they like these experiments,” said veteran science and math teacher Mahalakshmi Ashok, who uses Shiksha copilot to find engaging lesson activities for her students. “Each and every class is becoming lively. The learning has become easier.”

Indeed, AI-driven innovation like Shiksha copilot is not only a time saver for educators, but it provides new avenues for student engagement and learning, democratizing education and fostering a love for learning among students.

Myntra’s AI shopping assistant: Solving the “search” problem for online retail

In the online fashion retail space, Myntra’s AI shopping assistant represents a leap forward in enhancing customer experience through generative AI. By understanding abstract user queries and offering personalized fashion recommendations, the AI assistant breaks new ground in search functionality, moving beyond keywords to understand the nuances of customer preferences.

“This is big,” said Arit Mondal, director of product management at Myntra, “Why? Because this is the first time we have a solution which is solving the unsolved ‘search’ problem in the fashion, beauty and lifestyle industry. And it’s live for customers at scale.”

Beyond streamlining the shopping experience, Myntra’s AI assistant reveals new possibilities for product discovery, significantly increasing the likelihood of purchase and customer satisfaction. Myntra’s success story illustrates the power of AI to understand and cater to the diverse needs of consumers, setting a new standard for personalized online retail.

Jugalbandi: Bridging language barriers with AI

The Jugalbandi project, an AI-driven chatbot initiative, showcases the transformative potential of AI in bridging language barriers and enhancing access to government services for India’s diverse population. By enabling users to interact with the chatbot in multiple languages and receive information in their local dialect, Jugalbandi democratizes access to essential public services and information, empowering individuals and communities.

“It understands your exact problem in your language and then tries to deliver the right information reliably and cheaply, even if that exists in some other language in a database somewhere,” said Abhigyan Raman, a project officer at AI4Bharat, an open-source language AI center based at the Indian Institute of Technology Madras in Chennai that is a collaborator on the chatbot. “This is revolutionary for people who could not interact with tech because of language barriers.”

This initiative exemplifies the role of AI in fostering inclusivity and equity, ensuring that the benefits of technology reach every corner of society.

Air India’s AI.g: Pioneering AI in aviation customer service

Air India’s introduction of AI.g, the world’s first generative AI virtual agent in the airline industry, marks a significant milestone in leveraging AI to enhance customer service. Handling a wide array of queries across multiple domains, AI.g exemplifies the efficiency and scalability of AI in managing customer interactions, reducing the need for human intervention in routine tasks, and allowing human agents to focus on more complex issues.

“After the emergence of Large Language Model-driven Generative AI capabilities, we are increasingly seeing a definitive shift in guest preferences to use chat interactions to get the information and support they need quickly and directly as compared to browsing several web pages,” said Satya Ramaswamy, Chief Digital and Technology Officer at Air India.

Air India has set a new benchmark for responsive customer service excellence in the aviation industry.

Karya’s platform narrows the digital divide while generating data

I also want to share how Karya is bridging the digital opportunity gap by providing people in India’s low-income and marginalized communities with access to AI-enabled digital work. Capitalizing on the increasing affordability of smartphones and data, Karya has developed a smartphone-based platform that integrates AI into daily life, opening up a range of language-based digital tasks to those in underserved rural areas. Serving not only as a source of income but also as a means to enhance digital literacy, Karya highlights the multiplex possibilities of AI to create economic opportunities and narrow the digital divide.

IndiGo’s 6Eskai chat assistant slashes workload for customers service agents

India’s leading airline, IndiGo, has introduced 6Eskai, an AI chat assistant built on Microsoft’s GPT-4 designed to revolutionize customer service by providing assistance in 10 languages and simplifying the ticket booking process. This initiative, developed in-house by IndiGo’s digital team in collaboration with Microsoft, has significantly reduced the workload on customer service agents by 75% and improved the efficiency of the booking journey.

“This innovative tool will offer seamless support to our passengers, providing quick and personalised assistance for their travel needs,” said Summi Sharma, Senior Vice President at IndiGo, “reflecting IndiGo’s dedication to technological advancements and customer-centric services.”

Equipped with 1.7 trillion parameters, 6Eskai offers a wide array of services, including ticket bookings, promotional discounts, and trip planning, through both type-written and voice-to-text natural language interactions, setting a new standard in airline customer service.

AI for everyone in India

The instances showcased in the blog reflect a larger story of Microsoft’s dedication to bolstering Indian enterprises through AI, fostering remarkable gains in efficiency and innovation. At the Mumbai tour, I encountered numerous business leaders who testified to the tangible benefits and significant return on investment (ROI) from AI integration. Avinash Raghavendra, President and chief information officer (CIO) of Axis Bank, remarked, “Our AI collaboration with Microsoft not only drives optimized and robust processes but also delivers employee satisfaction by providing the means to be always productive and resourceful.”

Similarly, Anup Purohit, CIO of Wipro, emphasized the transformative impact of generative and foundational AI: “Solutions such as Copilot have aligned with our objective of empowering our teams to achieve more efficient workflows and deliver high quality output. It has driven innovation and reinvention of our processes while helping us render better services to our clients.”

India is gaining attention not only for its output in terms of AI innovation but for the incoming investment it is attracting. During his visit in February 2024, Microsoft chairman and chief executive officer (CEO) Satya Nadella underscored the company’s dedication to bolstering India’s shift towards an AI-first economy, mirroring the country’s ambition for self-reliance through AI proficiency. Speaking at the Microsoft CEO Connection event in Mumbai, Nadella unveiled the ADVANTA(I)GE INDIA initiative aimed at equipping 2 million Indians with AI skills by 2025, addressing the national skills shortage and positioning India as a frontrunner in the AI domain.

This initiative not only reflects Microsoft’s commitment to closing the AI skills gap but also showcases India as a pivotal center for output and a prime destination for Microsoft’s investment.

“India is uniquely positioned to make the promise of AI a reality,” said Nadella. “We are committed to partnering broadly across the public and private sector to help close the nation’s AI skills gap and create new opportunity throughout the country.” 

Indeed, India’s innovative spirit and synergistic endeavors with Microsoft stand as a powerful testament to AI’s capacity to forge a more efficient, inclusive, and innovative global future. We can expect that India will continue to lead and innovate in the AI domain, punching above its weight on the global stage.

Take the next step in your AI journey

The era of AI is a global opportunity, beckoning us as business leaders to explore, innovate, and lead the way in shaping a future where technology and humanity converge to create a better world for all.

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.

Footnotes

¹The Economic Times, India to become USD 5 trillion economy, third-largest by 2027: RBI DG Patra.

²Reuters, India’s AI market seen touching $17 bln by 2027, notes Nasscom-BCG report.

The post India’s AI ambition: Pioneering the tech frontier appeared first on The Microsoft Cloud Blog.

Explore how to unleash retail team potential with intelligent solutions from Microsoft.

Learn more 

MICROSOFT TEAMSLearn more 

In the race to deliver engaging in-store experiences, Microsoft Teams is uniquely positioned to equip retailers, such as La Vie en Rose and Domino’s, with a single platform to transform their store team’s operations and deliver first-in-class customer experiences. And with the potential to streamline tasks and save valuable time, AI is quickly becoming a critical layer on top of existing communication solutions to help retailers deliver. Even employees are ready and waiting for AI to be introduced, with 65% of frontline workers optimistic about how AI will help them in their job. With Microsoft Teams, you can level up your retail workforce with smarter and simpler experiences for communications and operations in your stores.

Take your retail teams’ productivity to the next level with generative AI 

It’s no secret that store associates can work more effectively when they have the right tools. By harnessing the power of smart solutions in the communication tools they use every day, retailers can not only make their operations more productive but also keep their store communications agile.

We’ve enhanced essential communication tools in Microsoft Teams—like chat, channels, phone calls, and meetings—with Microsoft 365 Copilot. Copilot combines the power of large language models (LLMs) with your data in the Microsoft Graph—your calendar, emails, chats, documents, meetings, and more—and Microsoft 365 apps to turn your words into the most powerful productivity tool on the planet. This fosters a smart workplace that elevates productivity and streamlines information access for retail teams.

In November, we announced Microsoft Copilot Studio, a versatile low-code tool designed to customize Microsoft Copilot for Microsoft 365. Copilot Studio enables you to extend your own retail data to Copilot, or to build standalone copilots that bring together a set of powerful conversational capabilities from custom GPTs, to generative AI plugins, to manual topics. 

Copilot Studio provides a quick and easy way to create and publish a plugin directly to Copilot for Microsoft 365 via a drag-and-drop low-code approach that includes the logic and data connectivity to answer questions based on your retail data and processes.

Learn more about Copilot in Microsoft Teams.

Target communications and engagement on the frontline 

Reaching the frontline with key information and news can be difficult, both in targeting the right groups and then engaging them with the content once delivered. It especially gets difficult if different communications are being sent to different apps, adding cognitive load onto the frontline to find the right information across multiple communication sources. 

Continuing to deliver on a single destination for frontline communications, we’re excited to announce Copilot in Viva Engage in Teams, available in public preview in January 2024. This Copilot experience uses AI-created conversation starters, prompts, and images to help inspire retail leadership and corporate communications teams to post in frontline communities and increase engagement with store teams right from the same place where they work. And this AI-enhanced communication tool helps frontline retail teams increase the quality of questions being asked with suggested prompts.

Copilot in Viva Engage in Teams speeds up your ability to create impactful and dynamic communications for your organization. Combining this with the power of Teams simplifies your ability to target communications to specific teams, whether at the company, store, or role level. We are excited to share that retail corporate communications teams will soon be able to easily send important announcements like safety policy changes and store sales targeted to frontline employees based on location, department, and job roles from the Teams home experience. These operational announcements will be pinned at the top of frontline workers’ home experience so they will never miss key messages that keep your business running smoothly. This feature in Teams will be generally available in March 2024.

Simplify in-store operations with modern task management

Microsoft Teams helps automate and streamline processes across your organization, keeping all information in one place to simplify frontline workers’ daily work. We’re building on the existing task publishing and automation capabilities in Microsoft Planner, formerly known as the Tasks app in Microsoft Teams.  

Your retail organization will be able to schedule recurring lists within task publishing. With this new capability, you can now choose the cadence of recurring task lists—for example, let’s say every Monday you send a store audit task, then task publishing will automatically take care of scheduling the publication.

Retail organizations will be able to enforce additional rules for a task to be marked as completed, such as uploading photos, completing a form, as well as requiring manager approval before marking a task complete. With this feature, tasks can only be marked as complete once specific conditions are met, ensuring high-quality work across the frontline. 

Task publishing will also allow your organization to create a task that every member of the recipient team must complete. Retailers can use this to publish a training task—for example, health and safety trainings—to designated stores and locations.

These task management features will be generally available in March 2024. Sign up to be notified when these enhancements to Planner are available.  

Streamline on-the ground voice communication    

Teams Phone is a cloud calling service that keeps your entire workforce connected with flexible, reliable, and smart calling—all in Teams. We are excited to announce a new Teams Phone for Frontline Workers offer that will be generally available in February 2024. With Teams Phone, frontline workers can securely communicate and collaborate with customers, teammates, and suppliers through an intuitive and easily customizable solution. This offer can be purchased as an add-on to Microsoft 365 F1 and F3 SKUs for $4 per user per month.¹

Unlock instant push-to-talk for store teams  

Heads-up and hands-free communication is key for real-time collaboration and quick problem-solving in retail settings. To continue to enable seamless store communication, we are excited to announce that Walkie Talkie in Teams will now work with any generic wired headsets on Android. This feature will be generally available starting in February 2024.

To enhance and simplify store communication, frontline workers who use Walkie Talkie in Teams can now choose to automatically listen to incoming messages from any of the channels they have pinned as favorites. With this new feature, users can easily stay connected to multiple channels without needing to switch channels manually. This feature is now generally available.

Meet us at NRF 2024 

Microsoft is committed to empowering retail organizations around the world to modernize the in-store experience. We continue to invest in Microsoft 365 and Microsoft Teams innovations for the frontline, with solutions like Microsoft Copilot and Microsoft Teams Phone.  

This week at the National Retail Federation (NRF) 2024, we are announcing new solutions designed to enable store teams to efficiently meet customers’ expectations and improve the retail experience in this new era of AI. We’ll be in New York City for retail’s biggest show January 14 to 16, 2024, on level 3 at booth #4503, conveniently located at the main entrance of the Javits Exhibition Hall. We can’t wait to see you there.  

• Read the Forrester study, The Total Economic Impact™ Of Microsoft 365 For Frontline Workers In Retail.  
• For a deeper dive into our product announcements, read the MTC blog. 
• Transform and unify your frontline workforce with Microsoft Teams. 
• Visit our NRF landing page for more details and guided tours of our solutions. 
• Take our Guided Tour to see how to leverage Planner in Microsoft Teams for your stores. 
• Learn how to power your AI transformation with the Microsoft Cloud for Retail blog. 

¹ Microsoft Teams Phone Standard for Frontline Workers ($4 user/month) will be available as an add-on to Microsoft 365 F1 ($2.25 user/month) and F3 ($8 user/month).

The post Level up your retail workforce with smart, simple solutions from Microsoft Teams appeared first on The Microsoft Cloud Blog.

Retail is one of the most dynamic and competitive industries in the world, where customer expectations and preferences are constantly evolving. A recent McKinsey report confirms the retail sector has experienced as much disruption in the past five years as it has in the previous 25.¹ Perhaps never before in the history of the industry have we seen every single one of retail’s primary stakeholder groups—customers, suppliers, employees, and investors—simultaneously change their behavior and expectations. According to McKinsey, a retailer’s actions in the next two to three years could position it for success in the next 20.¹ In this environment, retailers are turning to the power of generative AI to provide differentiated value across the shopper journey. Take Walmart, for example. Two days ago, Walmart announced how they’re using Microsoft’s generative AI technology to build engaging new shopping experiences and provide enhanced productivity to store associates. When the world’s largest retailer decides to make big bets on generative AI, it’s clear the stakes are high and the opportunity to provide value is here.²  

Microsoft Cloud for Retail

Connect your customers, your people, and your data

Discover capabilities 

Around the world I’m hearing from retailers who are excited about the potential of AI. The most common question I was asked by retail executives in 2023 was where to start to find the most value. Retailers are looking for ways to begin working with generative AI that will allow them to learn quickly and scale effectively. I’m excited to share new tools that help retailers more easily incorporate AI across the shopper journey. Microsoft has lowered the barriers to building generative AI solutions that improve shopping experiences, support store associates, and enhance retail media campaigns. Through new Microsoft Copilot capabilities in Microsoft products, copilot templates for building applications, and retail data solutions in Microsoft Fabric, Microsoft makes AI implementation more accessible to retailers of all sizes. Retailers can now more easily take the first steps with generative AI.

Let’s look at these new offerings in more detail:

Shopper value

Delight shoppers with more personalized experiences. Retailers can use a copilot template on Azure OpenAI Service to build more individualized shopping experiences across their existing web sites and applications (in public preview).

With applications built using the copilot template, shoppers can engage in helpful and natural conversations that guide them to precisely the goods they need, while saving them time. Generative AI produces experiences that leave shoppers with the confidence they have found the best items. Microsoft Cloud for Retail copilot template pairs the breadth of expressiveness found in a Large Language Model (LLM) with deep knowledge about a retailer’s catalog and expertise. This new approach to commerce comes from advances in generative AI, all built with Responsible AI principles in mind.

Enhance shopping through personalizing marketing with new Copilot capabilities in Microsoft Dynamics 365 Customer Insights (coming soon to public preview).

Our AI-first experience enables marketers to describe the desired marketing outcome in natural language and let generative AI suggest, build, launch, and monitor campaigns in real-time. Transform marketing workflows and improve campaign ROI by uniting business data with Copilot features that deliver outcomes faster and more efficiently. These Copilot capabilities will be available in preview in the first quarter of 2024, with general availability by the third quarter of 2024. Existing Dynamics 365 Customer Insights customers can sign up now for the early access public preview program.

Store associate value

Empower store associates to improve productivity, job satisfaction and customer experiences. Using a copilot template on Azure OpenAI Service, retailers can infuse AI into store operations, better supporting associates (in public preview).

Our copilot template for store operations helps build a generative AI-powered LLM based assistant that enables Q&A from store documentation such as store operating procedures and natural language-based task creation (form filling). Store associates can use natural language to quickly and easily access the information they need in the flow of work, increasing their productivity and efficiency. With this copilot template, retailers can more easily build experiences that enable store employees to quickly get answers to their questions on store operating procedures, HR policies, and benefits. In addition, store associates and managers can save time through natural-language prompt-enabled task creation and assignment.

Using the copilot template, in combination with Microsoft Power Platform and Microsoft Dataverse capabilities, retailers are empowered to seamlessly connect data across multiple lines of business systems to generate AI driven recommendations and actionable solutions that will help store associates make the right decisions.

Consumer brand value

Provide consumer goods brands with tools to auto-generate and edit campaigns with Retail Media Creative Studio (in preview).

Microsoft is introducing generative AI to the Microsoft Retail Media platform (powered by PromoteIQ) through the launch of Retail Media Creative Studio, a comprehensive, end-to-end banner ad creative solution tailored for retail media, available in preview starting in January 2024. With Retail Media Creative Studio, retailers can unlock new revenue with optimized retail media campaigns across multiple retail media channels, such as the retailer’s owned digital properties and across the open web. The solution optimizes banner campaign performance using AI-powered algorithms and delivers a more personalized shopping experience.

The data solutions providing AI to retail innovation

Make the most of retail data to uncover insights that lead to better shopper journeys with retail data solutions in Microsoft Fabric (in public preview).

One of the greatest, if not the greatest, challenges retailers face today is the need to unify data from disparate systems in order to gain insights from it. We are very excited to offer this industry specific set of capabilities in Microsoft Fabric that enables retailers to accelerate time to insight generation by unifying, enriching, and modeling industry data in Fabric. With seamless data harmonization, cross-application analytics, and AI applications, retailers can unlock the full potential of their data and drive their business forward. By using Fabric, retailers can consolidate relevant retail data from multiple systems into a unified, governed hub providing a secure single source of truth for all data and analytics needs. And, with retail data solutions in Fabric, retailers can use the same copy of data without needing to move it from its original source.

Our connector with Sitecore OrderCloud means that data for three important areas: product, customer, and orders, has been mapped to our industry data model, reducing engineering effort and accelerating time to insights.

Across the Microsoft Cloud, retailers now have multiple options when applying AI to key business outcomes across the shopping journey. From building their own solutions to leveraging the copilot templates, Microsoft Cloud for Retail integrates with retailers’ existing systems, seamlessly connecting a retailer’s customers, employees, and data. In each industry, Microsoft builds unique assets to verticalize the Microsoft Cloud and enable a broad partner ecosystem. Built on a foundation of trust and Microsoft’s Responsible AI principles, retailers can safely and securely unlock productivity across their entire business with Microsoft Cloud for Retail.

See it all at NRF 2024 and beyond

According to AI adoption in Retail, the most recent research Microsoft commissioned with The Futurum Group, 87% of retail companies globally have implemented AI in their store operations. Clearly the adoption of AI is increasing as this new technology brings substantive rewards to organizations. Microsoft is here to connect with you, listen to your needs, and support developing your AI strategy. Learn more at the links below and reach out to a Microsoft representative at any time for conversation.

Join us to hear the latest on how Microsoft is helping customers by attending our sessions at NRF 2024 or listening on-demand after the event: 

• Retail Unlocked: Achieve more with Microsoft: Hosted by Shelley Bransten, Corporate Vice President, Global Retail, Consumer Goods and Gaming industries, Microsoft. Sunday, January 14, 2024, from 1:00 PM to 1:30 PM Eastern Time. Join this interactive session to hear about one retailer’s AI journey to date. Hosted by Microsoft’s Corporate Vice President, Retail, Consumer Goods & Gaming industries, Shelley Bransten, you’ll also learn about new AI-focused findings from Futurum Research and all new AI capabilities in Microsoft Cloud for Retail that will help power your AI transformation.
• Unlocking true customer-centricity: Optimizing touchpoints across the shopper journey with AI: Hosted by Kathleen Mitford, Corporate Vice President, Global Industry Marketing. Monday, January 15, 2024, from 11:45 AM to 12:15 PM Eastern Time. Generative AI and large language models have captured the attention of executives across industries. While the technology’s use cases seem endless, smart retailers and brands must identify and prioritize the applications of generative AI that will be most valuable to their organization and partner with organizations who will treat their data with the highest privacy standards. Join us to hear how Microsoft is helping organizations large and small maximize their generative AI opportunities safely and responsibly..  
• Unify your data to unlock AI opportunities: Hosted by Martin Kostal, General Manager, Microsoft Industry Clouds. Tuesday, January 16, 2024, from 1:00 PM to 1:45 PM Eastern Time. Retailers are swimming in data all day. Even with sophisticated legacy technologies and cutting-edge data science, the majority of that data goes uncollected. Insights stay hidden—often in plain sight. But that’s starting to change. AI tools are enabling retailers to understand their customers, merchandising, supply chains, operations, and workforces better than ever before. Join us to hear about the myriad insights that retailers are drawing from newfound and increasingly precise data sources to run leaner, smarter stores.   

Additional Microsoft announcements at NRF 2024

• Read the Microsoft 365 blog to learn how to drive AI-enabled efficiency with Microsoft Teams for your retail frontline. 
• Read the blog from Martin Kostal, General Manager, Engineering, Microsoft Cloud for Retail.
• Read the Official Microsoft Blog, “Walmart unveils new generative AI-powered capabilities for shoppers and associates.”
• Read the official Microsoft press release “Microsoft unveils new generative AI and data solutions across the shopper journey, offering copilot experiences through Microsoft Cloud for Retail.” 

Learn more about implementing AI in store operations

• Download the full Futurum Group research report.
• Stay informed about Microsoft Cloud for Retail.
• Follow Microsoft Cloud on LinkedIn. 

¹Retail reset: A new playbook for retail leaders, McKinsey & Company.

²IDC Infographic, sponsored by Microsoft, The Business Opportunity of AI, #US51315823, November 2023.

The post Microsoft introduces new capabilities that help retailers bring AI to the shopper journey and enhance store associate experiences appeared first on The Microsoft Cloud Blog.

Gain valuable AI insights for your business

Learn more at the National Retail Federation Big Show

Register here 

In addition to solutions powered by Microsoft Cloud for Retail, this vision for the future of retail is spotlighted by new Copilot capabilities for Dynamics 365 applications, including:  

• Microsoft Dynamics 365 Customer Insights, providing retailers with AI-powered experiences to transform daily marketing workflows. 
• Microsoft Dynamics 365 Supply Chain Management, providing AI powered guidance for demand planning, streamlining procurement, and enhancing supply chain visibility. 

NRF attendees can learn more about the transformative power of AI across the retail industry by attending two Big Ideas Sessions hosted by Shelley Bransten, Corporate Vice President, Global Retail, Consumer Goods, and Gaming Industries, and Kathleen Mitford, Corporate Vice President, Global Industry Marketing. 

Helping retailers personalize the shopping experience  

Retailers often tell us that they’re under pressure to get marketing and customer experience projects and campaigns to market faster and are asked to do more with less. Yet, the processes and tools they use haven’t evolved to meet this demand.  

Deploying a project to market requires various roles or specialists, costly third-party agencies, and siloed applications to review data and create content. Monitoring results for optimization also becomes a timely and tedious task, having to track down the right people with the right application and the right data. These challenges not only hinder a campaign’s time to market and employee productivity, but can also result in a disjointed customer experience.

It’s not just our customers who are feeling the burden of these challenges. The market is feeling it too. For instance, 63% of surveyed retailers said they hope they can improve their marketing with AI in the next 18 to 24 months.¹ In the age of AI, shouldn’t it be easier to get your campaigns to market?  

We are announcing new Copilot features in Dynamics 365 Customer Insights that will  transform how marketers manage and maintain projects and campaigns, increasing productivity, efficiency, and speed to market. These new capabilities build on Copilot features introduced in the past year, including, but not limited to, the ability to generate content ideas, query customer data using natural language, and create customer segments and journeys using next-generation AI. 

Marketers can kick-start their marketing project by writing their campaign objective in natural language, or by uploading an existing creative brief. The project board is then generated using the prompt or brief, connected organizational data, and previous campaigns in Customer Insights. The project board streamlines and connects all workflows into one place for building and managing marketing assets. 

“These new copilot capabilities in Dynamics 365 Customer Insights will enable us to focus our time and energy in the right places—better informing us on optimization priorities without the need to dig into details manually. That alone saves so much time.” —Hannah Harper, Leatherman, Digital Marketing Manager

From the project board, marketers can view the campaign’s target audience and segments, as well as recommendations from Copilot for additional segments that may not have been previously considered. Selecting a suggested audience segment automatically generates a complementary customer journey, saving marketers time while also helping them deliver a personalized customer experience. 

End-to-end customer journeys containing personalized touchpoints, such as promotional emails or event invitations, are generated using Copilot. Through our partnership with Typeface and its enterprise-grade generative AI capabilities, marketers can produce brand-authentic images across assets, supercharging personalized content for greater impact—all from within Dynamics 365 Customer Insights. Additionally, Typeface helps align content to the organization’s brand guidelines, including themes, fonts, and product images—extracted from a central asset library.

“Every aspect of the enterprise is already being redefined with generative AI, from developer to product to sales experiences. By combining Dynamics 365 Customer Insights with Typeface’s powerful storytelling engine, we’re fundamentally reshaping campaign workflows with generative AI by starting with just a goal. This means personalizing content at an unprecedented scale, bridging the gap between content and data, and ushering in a new era of marketing creativity and productivity.”—Abhay Parasnis, Founder and CEO of Typeface 

These Copilot capabilities will be available in preview in the first quarter of 2024, with general availability by the third quarter of 2024. Existing Customer Insights customers can sign up now for the early access public preview program here.

This is just the beginning; we will be delivering further content curation, journey testing, and metrics monitoring to optimize campaigns. Our vision is that, together, this new AI-first experience will transform how marketers work by reducing the complexities of end-to-end campaign management and enhancing marketer productivity and ROI.

Learn more about our vision in the video below.

Build a real-time retail supply chain 

In 2024, retail supply chains face countless challenges, from labor shortages and increasing costs to complexities across omnichannel retail experiences. Enterprise AI solutions, now readily available for retailers, can power greater efficiency, productivity, and innovation across the supply chain.  

At Microsoft, we aim to deliver new supply chain innovations powered by Copilot to our customers through our open, flexible, and collaborative Microsoft platform; helping organizations to reduce risk, manage inventory, plan with flexibility, and make quick decisions across the whole supply chain.   

New copilot capabilities to improve demand planning 

A retailer’s success hinges on having the right inventory at the right place at the right time, and that starts with successful demand planning. We recently announced new demand planning capabilities in Dynamics 365 in November 2023 that uses AI, machine learning, and external signals to predict demand accurately, and now we are enhancing it with Copilot. This will help planners understand how a forecast was generated and help them find patterns and anomalies. 

Copilot will also help them make sense of complex relationships across datasets using natural language interactions, and it will also assist with the routine tasks of making demand review reports, saving the planners time to focus on high-priority activities. 

Some of our customers, including Domino’s Pizza UK & Ireland, can use the new demand planning capabilities to make smart predictions from the data and insights.

“The demand planning capabilities in Dynamics 365 are helping us make the right decisions to lower wastage, avoid unnecessary deliveries, and be cybersafe.”—Neha Batra, Head of Business Solutions.  

The new demand planning capabilities create a more flexible, simplified, and intuitive user experience. Planners have an increased level of trust and can rely more on the forecast, knowing how it’s generated. The latest demand planning capabilities help reduce excess inventory and increase working capital for retailers.

New Copilot capabilities to improve productivity and proactively mitigate disruptions  

In November 2023, we also announced new Copilot capabilities in preview for Dynamics 365 that enable supply chain teams to take actions based on insights with conversational help while in the flow of work. This helps increase productivity and improved collaboration among employees across the supply chain and other cross-functional teams to proactively mitigate disruptions and further automate their workflows. See the capabilities in action.  

We also added new Copilot capabilities that will enhance inventory visibility and enable businesses to promise orders with improved accuracy, significantly helping brands elevate their consumers’ buying experience.   

In addition, a new copilot capability that helps to streamline procurement is now generally available. Procurement teams can seamlessly handle the purchase order changes in a scalable and efficient manner and assess the impact of changes downstream to production and distribution before making the right decision.   

Generate product enrichment content for e-commerce sites with Copilot 

Informative, story-rich product content can drive customer engagement and sales on e-commerce sites. Creating that content, however, can be time-consuming and challenging. In October 2023, we launched in preview the ability for business-to-business and business-to-consumer online retailers to use Copilot in Dynamics 365 Commerce to generate enriched product marketing content for their websites. This helps to decrease the time it takes to create compelling marketing content, while increasing productivity and increasing the overall number of online orders.

Visit our Microsoft booth at NRF this year to see these innovations in action.  

Discover the future of retail at NRF 2024 

Learn more about Dynamics 365 solutions for the retail industry and retail solutions introduced at NRF 2024. If you are registered for NRF 2024, we invite you to stop by our booth for demos of our solution and attend the following sessions:  

Retail Unlocked: Achieve more with Microsoft: Hosted by Shelley Bransten, Corporate Vice President, Global Retail, Consumer Goods and Gaming industries, Microsoft  

Sunday, January 14, 2024  | 1:00 – 1:30 PM  Eastern Standard Time (EST)

Join this interactive session to hear about one retailer’s AI journey to date. Hosted by Microsoft’s Corporate Vice President, Retail, Consumer Goods & Gaming Industries, Shelley Bransten, you’ll also learn about new AI-focused findings from Futurum Research and all new AI capabilities in Microsoft Cloud for Retail that will help power your AI transformation.    

Unlocking true customer-centricity: optimizing touchpoints across the shopper journey with AI: Hosted by Kathleen Mitford, Corporate Vice President, Global Industry Marketing   

Monday, January 15, 2024  | 11:45 – 12:15 PM  EST

Generative AI and large language models have captured the attention of executives across industries. While the technology’s use cases seem endless, smart retailers and brands must identify and prioritize the applications of generative AI that will be most valuable to their organization and partner with organizations who will treat their data with the highest privacy standards. Join us to hear how Microsoft is helping organizations large and small maximize their generative AI opportunities safely and responsibly.   

Unify your data to unlock AI opportunities: Hosted by Satish Thomas, Corporate Vice President, Microsoft Industry Clouds   

Tuesday, January 16, 2024 | 1:00 – 1:45 PM EST

Retailers are swimming in data all day, every day. Even with sophisticated legacy technologies and cutting-edge data science, the majority of that data goes uncollected. Insights stay hidden—often in plain sight. But that’s starting to change. AI tools are enabling retailers to understand their customers, merchandising, supply chains, operations, and workforces better than ever before. Join us to hear about the myriad insights that retailers are drawing from newfound and increasingly precise data sources to run leaner, smarter stores.    

¹ AI Adoption in Retail Survey, The Futurum Group, 2024 https://aka.ms/FuturumAIinRetail

The post Shaping the future of retail with AI and Dynamics 365 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.

Microsoft Cloud for Retail

Become a resilient retailer and drive sustained profitability and growth

Discover solutions 

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.

It’s important to understand the potential of AI and learn how to make informed decisions about AI adoption and implementation. The benefits of AI in business are more compelling every day. A recent global study by IDC confirms that businesses are eager to adopt AI technology, with 71% of respondents currently using AI tools in their organizations.¹

Even with this momentum, business leaders face challenges when it comes to implementation. Where should you start your organization’s AI transformation?

Transform your business with AI

Learn about AI business strategy and AI for industries

Watch the videos

Learn from Microsoft leaders how to transform your organization with AI

We’ve brought together our AI and industry leaders at Microsoft to share how they think about AI transformation in our video series, Transform Your Business with AI. More importantly, they provide success stories and guidance on how others can align AI technology with their business goals.

To start learning about how AI can transform your business, I recommend you begin by thinking about where your business is today and where it is you want to go. Jessica Hawk, Corporate Vice President, Data, AI, and Digital Applications Product Marketing at Microsoft, will walk you through the key drivers of AI success. She will also provide guidance as you examine what characteristics foster an AI-ready culture.

Whether you lead a healthcare organization or a retail business, the next two topics are top of mind.

1. Responsible AI: Natasha Crampton, Chief Responsible AI Officer, shares principles and procedures followed at Microsoft and how leaders can develop their own AI strategy.
2. Sustainability: Melanie Nakagawa, Chief Sustainability Officer, shares the Microsoft approach to sustainability in the era of AI.

Explore how Microsoft and customers are implementing AI within retail, manufacturing, financial services, and healthcare with our industry-focused videos.

• Retail: Learn how AI is impacting the retail industry with Shelley Bransten, Corporate Vice President of Global Retail, Consumer Goods, and Gaming Industries at Microsoft.
• Manufacturing: Kathleen Mitford, Corporate Vice President of Global Industry Marketing at Microsoft, shares how AI will change the manufacturing industry and how you can partner with Microsoft to prepare your business.
• Financial Services: Bill Borden, Corporate Vice President of Worldwide Financial Services at Microsoft, takes you through some of the biggest obstacles facing the financial services industry and shows how AI can help you drive differentiated outcomes for your business.
• Healthcare: Rob Dahdah, Corporate Vice President of Industry and Partner Sales for the Health and Life Sciences at Microsoft, dives into how AI can make a significant impact on the world of healthcare, from more personalized healthcare to more efficient drug development.

Discover the knowledge and resources to adopt AI in your organization

To complement this video series, we’ve released a full training course on our free learning platform, Microsoft Learn.

Here’s what you’ll learn in this course:

1. What is AI and how is it used in business?

You’ll learn the difference between generative AI, machine learning, and deep learning. Plus, you’ll understand how AI works through examples specific to sales, supply chain, human resources, finance, marketing, commerce, customer service, and project management.

2. How can I be sure AI is adding value to my business?

AI technologies can drive substantial value to organizations. Defining an AI strategy specific to your business is so critical. We’ll walk through how to define your strategy, and we’ll examine what characteristics foster an AI-ready culture.

3. How do I know if my business is using AI responsibly?

At Microsoft, we believe that as organizations and society take steps toward responsible AI, we need to continually evolve to reflect new innovations and lessons from both our mistakes and accomplishments. You’ll learn the six guiding principles to develop and use AI responsibly so you can move confidently in your AI transformation.

4. What steps do I take to implement AI in my organization?

Starting with your AI strategy, this module in the training covers assigning responsibilities and empowering workers and subject matter experts to use AI themselves. You’ll also learn to evaluate and prioritize AI investments and establish AI-related roles and responsibilities.

By the end of the course, you’ll have a solid understanding about the practicalities of AI, how you can use it in your business, and how to evaluate it against the principles of responsibility.

Microsoft Learn

Find the knowledge and resources to adopt AI in your organization

Start the course

Continue learning about AI at Microsoft

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. The rapid rise of advancements in AI and cloud computing make access to technical skills an even more vital part of that mission. Developing proficiency in Microsoft AI technologies empowers you to innovate and accomplish far more than you previously thought possible.  

Today, it’s more important than ever to empower your team to gain the right skills, prove their expertise, and showcase their abilities so you can accelerate implementing AI at scale.

Learn more about generative AI in this training from Microsoft Learn.

¹IDC Infographic, sponsored by Microsoft, The Business Opportunity of AI, IDC #US51315823, November 2023.

The post How to get started with AI for industry and business leaders appeared first on The Microsoft Cloud Blog.