Agentic AI as the hero 

At MWC 2025, Microsoft spotlighted how agentic AI is driving real industry transformation—turning innovation into impact for telecoms. Throughout the event, telecom leaders cited agentic AI as a game-changer, exploring new revenue streams, and automating complex tasks. From hyper-personalized marketing campaigns to proactive network management, these applications are already delivering measurable business value. AI is no longer a pilot or proof of concept; it’s a proven technology, a necessity, for operators to deliver transformative customer experiences at-scale. 

Attendees witnessed demos and theater sessions that showed how AI can assist in the automation of complex tasks, anticipate network bottlenecks, and enhance customer experiences at-scale. Industry leaders consistently emphasized that building trust in AI is paramount, especially as AI becomes more important in supporting decisions previously handled by humans. Microsoft’s approach—rooted in transparency, security, responsible AI and governance—stood out. Microsoft highlighted how integrating Azure’s robust compliance features offers operators and their customers peace of mind, showing that trust and AI innovation are complementary. 

Booming booth and demo showcase 

The Microsoft booth welcomed more than 11,500 unique visitors—interested in learning how Microsoft’s AI portfolio helps drive innovation. The energy was high around our experiential demos, bringing to life real-world applications. Attendees learned how Microsoft Fabric and Azure analytics unifies data to optimize network operations, and powers immersive applications. These showcases highlighted the practical benefits of modern AI-powered technologies. 

Packed theater sessions 

The energy in Microsoft’s theater sessions was electric—overflow crowds packed the aisles to hear how telecom operators are igniting innovation and growth with AI sessions like “Korea Telecom Accelerates AI Adoption” and “AI Ignites Innovation and Growth in Telecom,” where speakers spotlighted how agile customers and partners, such as Accenture, Nokia, and Amdocs, are taking decisive leaps forward in their AI journeys. Each of these sessions echoed a consistent message: whether it’s network modernization or harnessing data, customer and partner momentum is accelerating digital transformation with real business results.

Announcements and customer success stories 

In addition to the success stories shared onstage, Microsoft unveiled news and announcements at MWC 2025 (see my LinkedIn post for details) that reinforce our commitment to accelerating telecom innovation. Microsoft introduced extended agentic AI capabilities for proactively detecting and self-healing network anomalies, demonstrating how operators can achieve near-zero downtime while reducing operational expenses. Another focus was low-code expansion across Microsoft Dynamics 365 and Microsoft Power Platform, empowering telecoms to rapidly build and deploy AI-powered workflows—everything from personalized marketing funnels to simplified customer onboarding experiences. Microsoft also introduced two AI-powered sales agents—Sales Agent and Sales Chat—within Microsoft 365 Copilot to help sales teams close deals more efficiently by automating lead management, customer engagement, and sales tasks. ​ 

Microsoft showcased deepened partnerships with industry leaders like Amdocs and Nokia, geared toward modernizing network infrastructure and elevating customer touchpoints. These collaborations highlight Microsoft’s efforts with partners to tackle the sector’s biggest challenges, such as automating network rollouts, augmenting cybersecurity with AI defenses, and simplifying data monetization. Together, these new announcements reinforce how AI—and especially agentic AI—will continue to transform telecom, enabling telecoms to deliver faster, smarter, and more secure connectivity.

Attendee excitement also came in the form of customer success stories. Telecoms spoke about how agentic AI and other Microsoft AI solutions have already begun reshaping their business: 

• Vodafone described how adopting AI-powered network maintenance cut outages and boosted satisfaction scores.
• KT provided a real-time case study on scaling AI from niche pilot projects to a core tenet of corporate strategy. 

Each story illustrated tangible business value, resonating with attendees seeking proven outcomes.

Partner ecosystem and shared success 

One of the most energizing aspects of MWC 2025 was connecting with Microsoft’s dynamic ecosystem of partners. At this year’s customer and partner reception, conversations buzzed with ideas on how to unlock greater value by combining Microsoft’s cloud and AI capabilities with solutions from trusted partners like Amdocs, Accenture, Nokia, and more. 

The partner spotlight was on innovation—from co-developed analytics dashboards that simplify 5G rollouts to integrated AI modules that accelerate service provisioning. These collaborations underscore how Microsoft’s partnerships with leading telecom Software Development Companies (SDCs) and System Integrators (SIs) are delivering tangible business outcomes. Startups were also a key part of the story. Microsoft for Startups highlighted a new wave of innovative startup SDCs that are helping telecom customers improve customer experience, data insights, and operational efficiency. 

By bringing together Microsoft’s technological depth with the domain expertise of partners, the company is addressing some of the telecom industry’s most pressing concerns—reducing operational overhead, maximizing customer lifetime value, and accelerating innovation. This spirit of community sets the tone for continued innovation.  

What is next 

The momentum behind AI adoption in telecom is accelerating. According to a recent McKinsey report, the focus on scaling AI from one-off pilots to enterprise-wide initiatives will only intensify as data volumes grow and networks become more complex. Microsoft stands ready to help telecoms navigate the next phase through delivery of telecom-specific AI innovations that drive business results: 

• Telco data model in Microsoft Fabric 
  Provides a unified data framework enabling telecoms to run advanced agentic AI workflows across service assurance, customer care, and revenue management.
• Autonomous networks and self-healing operations 
  Leveraging Azure OpenAI Service and the Microsoft generative AI and agentic AI platform, Microsoft envisions proactive, self-healing networks that detect, diagnose, and remediate issues in real time—reducing truck rolls, lowering OPEX, and raising customer satisfaction.
• Open and intelligent Radio Access Network (RAN) optimization 
  Now open source, Project Janus enables dynamic service models and real-time telemetry in Open Radio Access Network (O-RAN) environments—empowering telecoms to build intelligent, AI-optimized RAN architectures using Microsoft’s agentic AI framework to enhance performance, flexibility, and innovation.
• Hyper-personalized customer experiences 
  AI agents within Dynamics 365 Customer Insights, Microsoft 365 Copilot and Amdocs Customer Engagement Platform can unify behavioral and usage data to deliver precise, timely engagements. Telecoms can reduce churn and boost average revenue per user (ARPU) by offering the right products and solutions.
• Expanding revenue beyond connectivity 
  With the embedding of AI-powered interactions directly into customer and developer ecosystems, telecoms can open new business models—such as vertical-specific APIs and AI marketplaces that monetize network APIs, network analytics and agentic automation. 

Microsoft is deeply committed to partnering with telecom operators to co-create the future of connectivity. By aligning agentic AI capabilities with the industry’s most urgent challenges, Microsoft helps telecoms unlock new value—securely, ethically, and at scale. Through strategic collaborations with partners like Nokia, Amdocs, and leading SDCs and SIs, Microsoft delivers scalable, trusted solutions that position telecoms as pioneers in the AI-powered era. 

Until next time, Barcelona 

The transformation of the telecom industry is accelerating—driven by bold investments in AI, deepened partnerships, and a shared commitment to innovation. As the industry moves beyond MWC 2025, one thing is clear: telecom operators are poised to lead in an era defined by intelligent networks, data-driven agility, and customer-centric growth. 

With Microsoft’s agentic AI capabilities, trusted cloud infrastructure, and collaborative partner ecosystem, telecoms can unlock new efficiencies, monetize new services, and deliver seamless experiences that generate lasting business value.

Learn more about how Microsoft is powering the next wave of telecom transformation with AI and agentic automation by visiting our Microsoft for telecommunications Industry Page.

Microsoft for telecommunications

Accelerate telecom transformation in the era of AI

Explore solutions

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AI innovation is impacting every industry, business process, and individual. About 75% of knowledge workers today are currently using some sort of AI in their day to day.¹ At the same time, the regulatory landscape is evolving at an unprecedented pace. Around the world, at least 69 countries have proposed more than 1,000 AI-related policy initiatives and legal frameworks to address public concerns around AI safety and governance.² With the need to adhere to regulations and policy frameworks for AI transformation, a comprehensive solution is needed to address security, governance, and privacy concerns. Additionally, with the convergence of the responsibilities of cybersecurity and data teams, customers are asking for a solution that turns data security and data governance into a team sport to address issues such data discovery, data classification, data loss prevention, and data quality in a unified way. Microsoft Purview delivers a comprehensive set of solutions that address these needs, helping customers seamlessly secure and confidently activate their data in the era of AI.

We are excited to announce new innovations that help security and data teams accelerate their organization’s AI transformation:

1. Enhancing Microsoft Purview Data Loss Prevention (Purview DLP) support for lakehouse in Microsoft Fabric to help prevent sensitive data loss by restricting access.
2. Expanding Purview DLP policy support for additional Fabric items such as KQL databases and Mirrored databases to send users notification through policy tips when they are working with sensitive data.
3. Microsoft Purview integration with Copilot in Fabric, specifically for Power BI.
4. Data Observability within the Microsoft Purview Unified Catalog.

Seamlessly secure data

Microsoft Purview is extending its proven data security value delivered to millions of Microsoft 365 users worldwide, to the Microsoft data platform. This helps users drive consistency across their multicloud and multiplatform data estate and simplify risks related to data leaks, oversharing, and risky user behavior as more users are managing and handling data in the era of AI.

1. Enhancing Microsoft Purview Data Loss Prevention (DLP) support for lakehouse in Fabric to help prevent sensitive data loss by restricting access

Microsoft Purview Data Security capabilities are used by hundreds of thousands of customers for their integration with Microsoft 365 data. Since last year’s Microsoft Fabric Community Conference, Microsoft Purview has extended Microsoft Purview Information Protection and Purview DLP policy tip value across the data estate, including Fabric. Currently, Purview DLP supports the ability to show users notifications for when they are working with sensitive data in lakehouse. We are excited to share that we are enhancing the DLP value in lakehouse to prevent sensitive data leakage to guest users by restricting access. Data Security admins can configure policies and limit access to only internal users or data owners based on the sensitive data found. This control is valuable for when a Fabric tenant includes guest users and domain owners want to limit access to internal proprietary data in their lakehouses. 

Figure 1. DLP policy restricting access for guest users into lakehouse due to personally identifiable information (PII) data discovered 

2. Expanding DLP policy support for additional Fabric items such as KQL databases and Mirrored databases to show users notification through policy tips when they are working with sensitive data

A key part of securing sensitive data is to provide visibility to your users on where and how they are interacting with sensitive data. Purview DLP policies can help notify users when they are working with sensitive data through policy tips in lakehouse in Fabric. We are excited to announce that we are extending policy tips support for additional Fabric items—KQL databases and Mirrored databases in preview. (Mirrored Database sources include Azure Cosmos DB, Azure SQL Database, Azure SQL Managed Instance, Azure Databricks Unity Catalog, and Snowflake, with more sources available soon). KQL databases are the only databases used for real-time analytics so detecting sensitive data that comes through real-time analytics is huge for Fabric customers. Purview DLP for Mirrored databases reduces the security risk of sensitive data leakage when data is transferred in Fabric. We are happy to extend Purview DLP value to more data sources, providing end-to-end protection for customers within their Fabric environments, all to prepare for the safe deployment of AI.

Figure 2. Policy tip triggered by Purview DLP due to PII being discovered in KQL databases.

Figure 3. Policy tip triggered by Purview DLP due to PII being discovered in Mirrored databases.

3. Microsoft Purview for Copilot in Fabric

As organizations adopt AI, implementing data controls and a Zero Trust approach is crucial to mitigate risks like data oversharing and leakage, and potential non-compliant usage in AI. We are excited to announce Microsoft Purview capabilities in preview for Copilot in Fabric, starting with Copilot for Power BI. By combining Microsoft Purview and Copilot for Power BI, users can:

• Discover data risks such as sensitive data in user prompts and responses and receive recommended actions in their Microsoft Purview Data Security Posture Management (DSPM) dashboard to reduce these risks.
• Identify risky AI usage with Microsoft Purview Insider Risk Management to investigate risky AI usage, such as an inadvertent user who has neglected security best practices and shared sensitive data in AI or a departing employee using AI to find sensitive data and exfiltrating the data through a USB device.
• Govern AI usage with Microsoft Purview Audit, Microsoft Purview eDiscovery, retention policies, and non-compliant usage detection.

Figure 4. Purview DSPM for AI provides admins with comprehensive reports on Copilot in Fabric’s user activities, as well as data entered and shared within the copilot.

Confidently activate data

4. Data observability, now in preview, within Microsoft Purview Unified Catalog

Within the Unified Catalog in Microsoft Purview, users can easily identify the root cause of data quality issues by visually investigating the relationship between governance domains, data products, glossary terms, and data assets associated with them through its lineage. Data assets and their respective data quality are visible across your multicloud, hybrid data estate. Maintaining high data quality is core to driving trustworthy AI innovation forward, and with the new data observability capabilities in Microsoft Purview, users can now improve how fast they can investigate and resolve root cause issues to improve data quality and respond to regulatory reporting requirements.

Figure 5. Lineage view of data assets that showcases data quality within a Data Product.

Microsoft Purview and Microsoft Fabric can help secure and activate data

As your organization continues to implement AI, Microsoft Fabric and Microsoft Purview will serve as key solutions to safely activate your data for AI. Stay tuned for even more exciting innovations to come and check out the Fabric blog to read more about the innovations in Fabric.

Learn more

Explore these resources to stay updated on our product innovations in security and governance for your data:

• Learn how to secure and govern your entire data estate with Microsoft Purview.
• Learn more about Microsoft Purview Data Governance.
• Get started with Microsoft Fabric.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

1Work Trends Index

2AI Regulations around the World – 2025

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Yet even with all this progress, for decades fragmented systems and heterogenous environments have kept digital threads within the industry largely aspirational, preventing most organizations from achieving synchronized operations. A persistent inability to connect modern technology solutions with aging infrastructure has also slowed the collaboration long promised to manufacturers. Together, unified data and AI are now enabling organizations of all sizes to break through these barriers, transforming digital threads from static, disconnected datasets to dynamic networks. With AI agents serving as the interface, every worker can surface the overall equipment effectiveness (OEE), total cost of ownership (TCO), and return on investment (ROI) insights necessary to drive decision-making.

At Hannover Messe 2025, Microsoft is showcasing how new AI agents and partnerships with leading software vendors can help manufacturers deliver secure, scalable innovation from the shopfloor to the boardroom. Attendees will experience firsthand how data-driven intelligence and AI-enabled solutions will reshape manufacturing.

AI agents supporting the development of frontline workers 

Manufacturing transformation is reaching into every aspect of operations. Frontline workers now have access to AI agents providing them with enhanced guidance needed to make informed decisions. To expand this modern toolbox, we announced back at Ignite 2024 the public preview of Factory Operations Agent in Azure AI Foundry. An AI-powered assistant, Factory Operations Agent streamlines operations—enabling operators, production, and leaders to quickly access insights and optimize manufacturing processes through natural language querying. In doing so, the agent accelerates issue resolution and root cause analysis to improve productivity within day-to-day manufacturing operations.

As the industry struggles with turnover, worker skilling is an ever-present challenge. The World Economic Forum found that 63% of industry leaders believe skilling to be a significant barrier to growth.¹ Manufacturers need no-code and low-code options that democratize the power of AI without the need for extensive coding. With this in mind, we are announcing the same Factory Operations Agent now available in Copilot Studio in public preview, where with one-click it can be easily integrated into products like Microsoft Teams.

Finally, we’re announcing the public preview of Factory Safety Agent in Copilot Studio. This low-code, customizable solution provides workers with answers to occupational health and safety (OHS) questions and guidelines. It can also streamline safety inspections and personalize workforce training. 

Also, at Hannover Messe 2025, we will be showcasing state of the art technologies that will enhance the future of frontline work, like with our customer Sanctuary AI.

Sanctuary AI is shaping the future of frontline work, ushering in the era of autonomous labor with the power of Microsoft Azure. As frontline labor shortages intensify, manufacturers can explore deploying advanced general-purpose robots with dexterity-driven physical AI to automate repetitive, complex, and unsafe tasks to enhance operational efficiency. With Azure’s high-performance graphics processing units (GPUs), Sanctuary AI can train machine learning models at scale, pushing the boundaries of dexterous intelligence. 

Advancing innovation in digital engineering with generative AI 

Manufacturers shape their market leadership through digital engineering and design. By accelerating development and prototyping, and reducing time-to-market, AI-powered generative design is empowering manufacturers to create new high-performing, customer-centric products.

GenAI use cases to modernize manufacturing

Explore the value generative AI creates across the organization

Learn how

Aras is introducing Aras InnovatorEdge, a low-code application programming interface (API) management framework embedded in the Aras Innovator® platform. This solution simplifies API creation and integration, enabling secure, scalable data connectivity and enhancing collaboration, operational efficiency, and decision-making across enterprises. It integrates seamlessly with Microsoft Fabric, unlocking deeper insights and optimizing decision-making across the digital engineering landscape. 

Autodesk and Microsoft collaborate to create an AI-powered digital thread to help manufacturers gain efficiencies, reduce costs, and compete smarter. Autodesk® Fusion, the industry cloud for manufacturing, connects people, data, and process through the product development lifecycle. Autodesk Data solutions in Fusion Manage and Microsoft Fabric will enable efficient data management and process optimization. Additionally, Autodesk’s digital twin offerings with Tandem, factory simulation through FlexSIM, and factory operations management with Fusion Operations all benefit from this collaboration, ensuring that these tools work seamlessly across the IT and OT ecosystem. 

Windchill by PTC is a crucial platform for engineering and manufacturing teams globally. To support manufacturers aiming to integrate AI across their value chains, PTC and Microsoft are partnering to develop an enterprise data framework and multi-agentic model within Microsoft Fabric. This collaboration extends digital thread capabilities beyond traditional product lifecycle management (PLM), integrating data from enterprise resource planning (ERP) and manufacturing execution system (MES) systems, and enabling AI-powered insights and workflows. 

Preparing the factory edge for AI  

AI is redefining factory operations, but to fully capitalize on shop floor investments, manufacturers need to integrate their on-premises industrial edge solutions with the cloud. 

A core component of the Azure adaptive cloud approach, Azure IoT Operations is built on industry standards. Capturing data from industrial equipment assets and devices, Azure IoT Operations normalizes it at the edge—sending operational insights to the cloud and back.

Husqvarna is leveraging Azure IoT Operations and AI tools to digitally transform its factory floors. Their AI Vision Companion enhances visual quality control for chainsaw production, while AI chatbots assist night workers with troubleshooting, improving efficiency, and reducing downtime. With these new capabilities, Husqvarna expects to double their in-market connected devices and boost robotic lawn mower sales, expanding Azure IoT Operations from two to 40 factories globally by summer 2025. 

Siemens and Microsoft have expanded their partnership, Siemens Industrial Edge works seamlessly with Microsoft Azure IoT Operations, making OT and IT data planes fully interoperable for manufacturing. This joint effort streamlines data flow between edge and cloud, enhancing machine performance, product quality, and maintenance efficiency, and enabling manufacturers to adopt AI and digital twin technologies for more adaptive, optimized production.

Making AI-powered digital threads a reality for manufacturers 

The nervous system of industrial operations, digital threads weave together critical information, processes, and people across manufacturing segments. Grounded in unified operational (OT), information (IT), and engineering (ET) data, the electronic frameworks can empower individuals with relevant, timely insights. From initial concept to customer support, this continuous flow of data connects and enriches every aspect of manufacturing.

For over a century, Rolls-Royce has been a force for progress; powering, protecting, and connecting people everywhere. Today, with digital transformation at the forefront, the company is redefining how its world-class products are designed, built, and maintained. Hannover Messe 2025 visitors will see firsthand how AI and cloud technologies are shaping the future of aerospace. With the help of Siemens and Microsoft, Rolls-Royce is leveraging AI to streamline production, boost engine efficiency, and predict maintenance needs before issues arise. Rolls-Royce is also helping provide more efficient, reliable, and low-emissions energy solutions, powering everything from critical infrastructure to data centers. Rolls-Royce isn’t just keeping up with the digital revolution—it’s driving it.

Without AI, manufacturing data is difficult to navigate. Data quality, standardization, and integration have been unreliable. Microsoft is helping manufacturers make sense of their data to unlock the AI opportunity. With Microsoft Fabric, manufacturers can integrate data across different departments and teams. Traditionally, this data is trapped within separate systems. Parsec and Tulip integrations mark another major step in our ability to drive operational intelligence, enhancing shop floor and frontline execution. 

Parsec, developer of the industry-leading MES, TrakSYS™, today announced an upcoming integration with Microsoft Fabric and the factory operations agent in Azure AI Foundry solution to help deliver generative AI to manufacturing organizations. Dubbed TrakSYS IQ, this industry-defining functionality will enable users to retrieve and analyze factory data through a conversational user interface, bolstering productivity and data-based decision-making. 

Tulip, a leader in frontline operations solutions, announces its integration with Microsoft Fabric. This integration enables the Tulip Frontline Operations Platform to deliver scalable analytics across multiple factories, leveraging rich datasets for machine learning to provide real-time feedback and alerts to supervisors and operators. 

See Industrial AI in action at Hannover Messe 2025

The future of manufacturing is powered by AI. This year, at Hannover Messe 2025, attendees will have the opportunity to experience how Microsoft and its partners are supporting the industry transformation—from digital engineering, on factory floors, with frontline workers, and through digital thread. Join us at Hall 17, Stand G06. 

Thanks to all partners and customers joining Microsoft at Hannover Messe 2025: ABB, Accenture Avanade, Autodesk, AVEVA, AVL, Bayer, Blue Yonder, Bosch, Bühler Group, C3.ai, Capgemini, Cognite, Databricks, EPLAN, Hexagon, Husqvarna, Kongsberg Digital, Litmus, MTEK, NVIDIA, NTT Data, o9, Parsec, PTC, PWC, Rescale, Rockwell Automation, Rolls-Royce, Sanctuary AI, Sandvik, Schneider Electric, Siemens, Sight Machine, Symphony AI, TeamViewer, TCS, and Tulip. 

¹WEF: Skill Gaps are the Biggest Barrier to Transformation, Skillsoft.

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The skills gap is widening, and it is our collective responsibility to bridge it. Business leaders and professionals are exploring ways to build and enhance critical skills within their teams, and Microsoft is leading the charge. 

In addition to launching ambitious skill-building initiatives such as the upcoming Microsoft AI Skills Fest, we’re also eager to spotlight innovative organization like Founderz, a groundbreaking online learning platform that has gone from a bold idea to a leader in AI skilling in just a few years. Their story is worth sharing not only because of their emerging role in ensuring the workforce is prepared for the future, but because it’s a testament to the power of innovation, perseverance, and the impact of just one company believing in a vision.  

One “yes” can change everything 

Co-founders Anna Cejudo and Pau Garcia-Mila had a simple but powerful idea: what if online business education could capture the depth, collaboration, and networking of the world’s top business schools—but in a way that was scalable, accessible, and built for the AI-powered future? 

“We felt there is still a big gap between the experience we have when we go to an on-site business school—where you meet the best professors, the best content—and the way we learn online,” explained Pau Garcia-Mila, Co-Chief Executive Officer and Co-Founder.

They spent years building the technology behind Founderz, investing in AI-powered learning models that would make online education engaging, interactive, and deeply effective. But by 2023, they were at a breaking point. Funding had run out, and they needed a breakthrough.

In a final effort, they sent three emails to companies at the forefront of AI—hoping one of them would see what they saw: a future where AI education was truly transformative. Only Microsoft responded. 

Founderz was accepted into the Microsoft for Startups Founders Hub, which provided access to industry-leading AI services, expert guidance, and essential technology to supercharge their growth. Entering the Microsoft for Startups Founders Hub at Tier 4 also unlocked USD150,000 in Microsoft Azure credits, enabling the company to scale their platform, refine their AI-powered learning model, and start delivering high-quality AI education at scale. 

Today, Founderz itself is helping change lives.

“In 2024, we had roughly 10,000 users learning AI with Founderz,” recalled Anna Cejudo, co-CEO and co-founder. “By the end of the year, we were at 50,000. And now, by the beginning of March, we reached 100,000 users training in AI. The real revolution isn’t AI—it’s education,” added Anna, highlighting the fundamental role of learning in driving change. They’ve also become a Microsoft Training Services Partner, making the decision to offer training exclusively on Microsoft AI technology.  

AI skilling done differently 

Founderz is far from being just another online course provider. Pau, Anna, and their growing team are rethinking how AI is taught by blending structured learning with real-time collaboration, personalized AI-powered support, and a hands-on approach to applying AI in real-world scenarios. 

At the heart of the Founderz learning experience are high-quality, cinematic-style lectures. Unlike traditional online courses that rely on static, slide-based presentations, Founderz films its courses in a MasterClass-style format, featuring top AI experts from Microsoft and beyond. This approach allows learners to hear directly from the people shaping the future of AI. 

Expert content in student’s native language 

But Founderz goes beyond delivering engaging content—it’s about accessibility. A core mission is to provide top-tier AI education in students’ native languages. Next-generation lip-syncing technology ensures that learners experience AI-powered content seamlessly, without language barriers.

“I can watch a Responsible AI class from Microsoft’s Mihaela Vorvoreanu in my language,” says Pau Garcia-Mila. “She speaks in first person, saying, ‘When we built this Responsible AI model at Microsoft.’ I’d love to be able to learn from the source in my mother tongue.”

Small group collaboration  

While putting “thousands of people in a virtual room” enables Founderz to pay the best professors at a lower per-student cost, the company also sought to build a platform that supported meaningful collaboration. AI-powered tools match students into small, diverse learning circles, where they tackle real-world AI challenges, share insights, and build lasting professional networks. 

Multilingual student support around the clock 

To further support its rapidly growing user base, Founderz’ team of AI-powered teaching assistants or “Fellows” provide real-time multilingual support, allowing learners to receive help in their native language while keeping operations efficient for the human support team.  

As Pau Garcia-Mila explained, “The Fellows are speaking any language in the world, but our human team sees everything in English,” ensuring seamless interaction across different languages. 

These AI-powered teaching assistants provide real-time feedback, analyze student interactions, and escalate complex questions to human instructors when needed. Whether a learner is a complete beginner or an experienced professional, Founderz ensures they receive the support they need to succeed. 

Education means opportunity

Founderz’ journey from a bold idea to an emerging AI skilling leader is proof that AI education is more than just accessing information—it’s about unlocking potential. Its pioneering efforts continue to inspire countless organizations to embrace AI education and drive meaningful transformation worldwide.

As Anna Cejudo puts it, “Education means opportunity, and if we can deliver high-quality education to as many people as possible, we’re giving them the chance to change their lives and control their futures.” 

At Microsoft, we couldn’t agree more. Microsoft’s mission has always been about creating technology that empowers others to innovate and solve real-world problems. This holds true in the age of AI. Our commitment to skilling is not just about technology adoption, it’s about people development. Over the past year, Microsoft has trained and certified over 23 million people across more than 200 countries in digital skills, with the goal of ensuring that everyone has the opportunity to succeed in a world where AI will be commonplace and a natural extension of everything we do.  

Unlock the future—Join the Microsoft AI Skills Fest 

As part of our ongoing investment in global skilling, Microsoft is bringing AI skilling to everyone with the Microsoft AI Skills Fest—a global event designed to bring together customers and partners, tech and business professionals, and AI enthusiasts to help build the skills we all need to thrive in the AI economy.  

Beginning April 8, 2025, we’re kicking off the fun with an attempt to set a GUINNESS WORLD RECORDS™ title for the most users to take an online multi-level artificial intelligence lesson in 24 hours. After that, we’re inviting everyone to continue building their skills with 50 days to explore Microsoft’s AI apps and services.  

Let’s make history together.

Microsoft AI Skills Fest

A global event designed to bring learners across the globe together to build their AI skills

Register now

¹IDC InfoBrief: sponsored by Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, November 2024.

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1. AI makes retail more human—not less 

AI makes retail more human not less, creating engagement that delights consumers and empowers employees to solve problems, and deliver memorable customer experiences. At NRF, it truly hit home that “workforce” now includes both humans and their AI companions.

We learned how a beauty and wellness consumer goods brand uses digital twin assets to spin up a targeted lipstick Instagram campaign in minutes, then test and launch it—all of which would have taken days previously. In another presentation, we saw how a fashion retailer connects physical with digital, using ambient intelligence, in-store RFID signals, and AI to help associates locate garments and make recommendations for customers.  

“Can you repeat that, please?” The MediaMarktSaturn’s MyBuddy voice-navigated in-ear AI agent enables store associates to “shop” the store catalog for the best products and services while in the middle of customer conversation. This solution not only boosts customer satisfaction, it also helps associates make the most of conversion opportunities at the point of sale while delighting consumers. Do you want the expertise of a seasoned employee in minutes? Associates at Nordic retailer Kappahl can now use Store Operations Agent to gain access to product information, store policies, and procedures in mere seconds.

AI Is Already Changing Work—Microsoft Included gets at the heart of the changes brought about by AI. “The key to getting a real return on your AI investment is a human-centered approach, enabling individuals to leverage these tools in service to their work.”

2. The frontline is first in line with AI 

The frontline is first in line with AI. It’s very exciting to see how technology empowers people on the frontlines of retail, allowing them to thrive, grow, and be the best brand ambassadors to customers. At NRF 2025, we heard how a grocer employs generative AI to aid in training its 275,000 frontline associates while another automates responses to common customer inquiries and translates training materials to make its top employees available for more complex customer inquiries. A fashion retailer provides their employees with their app, which addresses queries like, “The register is slow. What should I do?”  

Curious about the hottest topics store associates are buzzing about? Swedish retailer Lindex designed Lindex Copilot to not only provide tailored guidance and support to store associates but also to learn and understand better what stores need. Generative AI is great for creating a bidirectional learning highway. Got a sweet tooth? Store associates at gourmet chocolatier Venchi are empowered by both hyper detail about the product and customer insights to meet the varied chocolate needs of shoppers, achieving customer satisfaction of 4.9 out of 5.

The best part is that savings achieved using AI can be reinvested to create a better employee experience, fostering a work environment where employees are enthusiastic ambassadors of the brand, bringing life to the store and to the customers who walk in every single day. 

3. Gen Zalpha defines the post-omnichannel world 

Gen Zalpha defines the post-omnichannel world, where authenticity, discernment, and relatability rule. Zalphas—a portmanteau of Gen Z and Alpha—use social commerce, participate in live commerce, and watch influencers via video storytelling to engage with products, brands, and creators.  

Gamified experiences and blended digital and physical worlds are critical for these consumers. Virtual shopping through gaming platforms blends digital and physical realms. You can find Zalphas creating avatars for themselves and taking their avatars shopping, buying virtual t-shirts for $13, and acquiring virtual manicured nails—in the way that everyday gamers make in-store purchases of speedier cars or accessories intended for game play. One retailer launched its real-life apparel line based on the popularity of the digital apparel collection they had created for avatar shoppers—the clothes were virtual-first. The opportunities for collaboration with technology companies, influencers, and communities are endless, as is the opportunity between virtual and real worlds.  

“Do I need winter or all-season tires?” Recognizing that up to 80% of tire purchases start with a visit to a retailer’s website with customers searching for tires, Canadian Tire’s conversational commerce helps them identify the right tires early on, growing conversion and brand loyalty. A beauty retailer shared at NRF how customers that order online and pick up in store drive the highest average order value (AOV).

“What backpack should I get for my kindergartener?” Customers using the voice ordering and text-to-shop features in the Walmart app can now interact with human-like responses as they search for items, place orders, and schedule pickups or deliveries.   

“What kind of pruning shears do I need for my climbing roses?” Gardens Alive is transforming customer service, enabling unique customer experiences by answering inquiries, tailoring recommendations, and creating seamless self- and assisted-service experiences that win customer loyalty while simplifying operations.

Retailers are working to improve how they track and connect online and offline sales to identify insights, find directly profitable use cases for AI, and reestablish attribution metrics to fully capture this interconnected online and offline relationship—also known as “show me the money.” 

4. The physical store is back 

The physical store is back, enchanting customers with memorable experiences aligned with their purpose. With stores still driving over 80% of sales, retailers are finding new ways to ensure the store expresses their brand’s values through new experiences.¹  

An outdoor retailer offers jacket repairs to emphasize the timelessness and durability of their products, a jeans shop creates the perfect fit with an in-store tailor, a toy store hosts in-store magic shows, a sports retailer debuts a community-style trying area to capitalize on the community built around sneaker culture, and a pet retailer offers self-service dog wash stations. Each of these experiences require, you know it, humans!

In addition, retailers are launching store tech innovations like virtual try-ons, digital shelves, and mobile checkout (25% of one beauty retailer’s sales). A big box retailer has built 1,700 digital twin models of store layouts. Why? To track in-store customer experiences, buying patterns, and preferences. All to optimize conversion. Do the hammers belong on the top shelf or middle shelf? Do we need eight colors of swimsuits or 12? This year at NRF, we saw an AI digital display interface that sits on top of a real-world shopping cart, displaying promotions and recommendations based on what the customer places in their basket.  

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5. Improving supply chain resilience 

Improving supply chain resilience continues to be in the spotlight. Supply chain discussions centered on using technology to optimize inventory, grow resilience, and decrease the risk and cost of disruptions. Pre-orders and just-in-time production—selling inventory before it physically exists—fundamentally rebalances inventory risk. SPAR Austria Group is using AI-enabled demand forecasting system that achieves 90 percent inventory prediction accuracy. 

Direct-to-consumer models reduce the risk of over-production, mis-forecasting, and physical risks to in-warehouse inventory (fire, flood, theft). By creating digital twins of a distribution center with different layouts and different behavior tracking, brands can pick, pack and ship products smarter and faster. One big box store uses digital twins of their warehouses to model efficiency changes to routing inside the warehouse. If an incident occurs, this approach allows automatic rerouting of warehouse robots to maintain flow and operations.

Leading Australian retailer Coles is expanding its world-leading edge computing platform to connect and manage IoT devices across Coles’ supply chain and into stores to advance Coles’ sustainability goals, improve customer experiences, reduce stock loss, and boost team member productivity and safety. British fast-fashion retailer ASOS uses AI to pull and embed knowledge of trends as they surface, enabling them to pick, curate, and share the right items at the right time with shoppers.

Geopolitical discussions are centered on onshoring manufacturing and sourcing for strategic categories. Producers have been making things wherever it was more efficient, and rebalancing supply chains and manufacturing takes time.  

6. Sustainability, ethical retailing, and circular economy 

Sustainability, ethical retailing, and circular economy remain top of mind as retailers are under pressure to meet 2030 sustainability targets and respond to rising consumer demand for responsible practices. For example, recycling expired products into biofuel and livestock feed. Brands are placing more emphasis on eliminating food waste, traceability, eco-friendly products and packaging, circular supply chain, overall waste reduction, renewable resources, and take-back or resale programs.  

A consumer goods company aligns sustainability with profitability by tracking environmental impacts across its product lifecycle assessing environmental footprints while streamlining operations.

Can we save more than 250,000 kilos of food from going to waste? Grocer Albert Heijn is using generative AI tools to help food arrive with maximum freshness, dynamically discounting prices to encourage shoppers to buy before that food is no longer fresh.

7. Customer psychographics drive true personalization 

Customer psychographics drive true personalization, whether it’s translating foot traffic data into a full snapshot of the customer journey or driving conversion in a post-cookies world.  

One of the biggest opportunities brands have is to use technology to understand their customers at their core: what makes them tick, what makes them buy, what causes them not to buy. The customer is smart, and authenticity is key to personalization. I love how a sports retail startup designs running clothes for runners, by runners, tapping into the community and speaking directly to Gen Zalpha’s desire for authenticity and connection.

“What shoes do I want for the holidays?” Saucony optimized customer acquisition during Black Friday and Cyber Monday via a custom AI model developed in partnership with Yobi, leading to a strong surge in new customers in just a matter of weeks. Are active women looking for waterproof mascara or color-correcting powder? The Estée Lauder Companies’ AI-powered custom agent connects and streamlines information for marketers, helping turn insights into action based on data that spans its 25 brands and hundreds of regions. 

Brands need to get personal in a meaningful way. Life shouldn’t be about shopping. Shopping should be about life.

Better shopping experiences through human–technology partnerships 

From AI to sustainability, NRF 2025 was a whirlwind of innovation and insight. As we move forward, the key takeaway is clear: retail is about people—both customers and employees—and the tech that makes those connections meaningful. Here’s to a future where technology and humanity work hand in hand to make the shopping experience better than ever.

Learn more

• The AI Advantage: How retailers are shaping customer experiences with data-driven insights
• Microsoft Cloud for Retail

¹ MIT Sloan School of Management, 2024.

The post 7 retail trends to watch this year from NRF 2025: Retail’s Big Show appeared first on Microsoft AI Blogs.

Beyond the tools that empower businesses to shape their future with AI in a rapidly evolving market, our leaders at Microsoft are shaping our own organization with this technology. In this series, FYAI, we’ll highlight leaders from around Microsoft that are driving forces in our AI strategy for their unique perspective on our AI transformation; for your AI information, if you will.

Insights from Sarah Bird, Chief Product Officer (CPO) of Responsible AI

In this edition, we hear from Sarah Bird, Microsoft’s Chief Product Officer (CPO) of Responsible AI, ahead of her appearance at South by Southwest (SXSW) where she’ll be discussing the evolving safety practices for generative AI.  

In this Q&A session, Sarah shares her insights on various aspects of responsible AI, including her journey and dedication to responsible AI, her role as Chief Product Officer, the importance of integrating responsible AI early in the development process, and her insights on future AI breakthroughs and their safety implications. 

Let’s explore Sarah Bird’s experiences and perspectives on the evolving landscape of AI and discover how Microsoft is building trustworthy AI systems. 

FYAI: Responsible AI with Sarah Bird

 Who influenced you to pursue a career in responsible AI?

“For me, it’s less about who influenced me to pursue this career and more about who I’m helping every day through my work. AI is one of the most empowering technologies we have, but we can’t unlock its full potential without solving for responsible AI. That’s what makes this work so important—it’s about ensuring AI is safe and beneficial for everyone. And to do that, we have to work across boundaries. It reminds me of my grad school days—responsible AI is the ultimate group project, bringing together technology, society, and law to tackle these complex challenges in a meaningful way.” 

What does the role of chief product officer, responsible AI, actually mean? Tell us what your day-to-day looks like. 

“No two days are the same, and that’s what keeps me energized. At the core, my team is focused on three key things: spotting new risks, figuring out how to tackle them—especially when they’re things we’ve never seen before—and making sure our solutions are scalable so others can apply them easily. That framework guides us, but the reality is, AI is evolving fast. So a big part of our work is staying nimble—triaging issues in real-time, applying what we learn in practice, and adapting quickly to test and deploy new systems. It’s a mix of strategy and problem-solving, which is what makes it exciting.”

Where are you noticing gaps in companies’ implementation of AI safety practices?

“It’s been really inspiring to see how much more mature customers are getting with their responsible AI roadmaps and deployment. There’s real progress happening. That said, people are still learning, and the level of maturity varies across industries—some are further along than others. If there’s one thing I could shout from the rooftops, it’s that responsible AI can’t be an afterthought. It needs to be built into the entire development process from the start, not just bolted on at the end. It’s about putting all the pieces together to create a complete, responsible AI lifecycle.”

When do you think the next AI breakthrough is going to happen and what does that mean for safeguards?

“As an engineer, I’m focused on problem-solving rather than predicting when the next big breakthrough will happen. But I will say—it’s an exciting journey, especially with the pace of innovation. And while we still need another major leap before we can talk about the reality of what’s next, what’s really exciting about this space is that the breakthrough isn’t just the technology itself—it’s how we apply it. The real magic happens at the intersection of tech and people, and figuring out how to bridge that responsibly is what makes this work so fascinating.”

Why do you feel safety and innovation go hand in hand? 

“A goal of ours as a company is to help people do more with AI. We are constantly pushing the boundaries of what’s possible and doing so in a safe, trusted way. As I’ve said, safety is not just a ‘nice to have’ bolted on at the end of a project, but a critical piece of developing high-quality AI systems. I look at safety issues as a measure of quality – is your AI performing as well as it should be? We can’t innovate and drive meaningful progress if we don’t solve for this.” 

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Learn more about Microsoft’s responsible AI work 

At Microsoft, we’re committed to the responsible advancement and use of AI. Our approach is guided by principles that ensure AI development maximizes benefits and minimizes potential harms. We incorporate responsible AI practices from the beginning by training our employees to evaluate risks and collaborating with experts to review and test technologies. 

We believe that advancing safe, secure, and trustworthy AI requires a mix of industry commitments, policies, and global governance. Responsible AI is an ongoing journey that involves continuous learning and collaboration.

Sarah Bird is at the forefront of ensuring that AI technologies are developed and deployed responsibly, and her team is dedicated to building tools that test AI systems rigorously to ensure they work as intended and are safe, inclusive, and beneficial for everyone. As she highlights, by integrating responsible AI practices from the start, we can unlock the full potential of AI while maintaining the highest standards of safety and innovation. 

Want to learn more?  

• Are you attending SXSW? Check out Sarah’s panel on Wednesday, March 12: Building Trustworthy AI: Evolving Safety Practices for GenAI. 
• Visit our Understanding AI at Microsoft page to catch up on the latest content from our Building AI Responsibly blog series.
• Read Grow Your Business with AI You Can Trust to discover how safe and secure AI business practices can enhance performance and effectively drive impact.

The post FYAI: The role of responsible AI with Microsoft CPO Sarah Bird appeared first on Microsoft AI Blogs.

We look forward to participating in CERAWeek 2025 to connect with business leaders, policymakers, and entrepreneurs across the global energy ecosystem from March 10 to 14, 2025, where we’ll explore the theme of “Moving ahead: energy strategies for a complex world”. This year’s theme covers a variety of topics across energy sectors and technologies and will include deep dives into geopolitics, business strategies, AI transformation, and climate impact. 

Microsoft at CERAWeek

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AI innovation and digital transformation in energy 

Across the energy ecosystem, AI-powered solutions are becoming the foundation of global success stories in which companies like Maaden save thousands of hours of worktime, while Aydem Energy boosts customer satisfaction with a digital assistant powered by Microsoft Azure OpenAI Sevice. Another one of our leading customers, JERA, Japan’s largest power generation company, uses Azure OpenAI to drive digital transformation. The collaboration helps JERA to access advanced AI tools and cloud infrastructure, facilitating innovation and the development of new energy solutions for energy performance management, failure prediction, and advanced maintenance, leading to significant cost savings and increased reliability. JERA’s Digital Power Plant (DPP) project is improving functionality in the areas of operations, maintenance, performance management and health, safety, security, and environment (HSSE), and helps promote innovation and workplace safety at power stations. As a result, the number of remote monitoring sites provided by the Global Data Analyzing Center increased by 25% last year, and the number of sites offering 24-hour services tripled. JERA also implemented a dedicated AI agent called Emily which is being used by 3,000 employees and in some cases, has achieved operational efficiencies of more than 90%. By utilizing AI and data analytics, JERA can make more informed decisions, improve energy management, and support Japan’s energy transition efforts.

We’re eager to highlight these and other success stories at CERAWeek, where leaders from our energy, sustainability, cloud and AI, and security teams will share perspectives on the role of AI and digital technologies in the energy sector. For example, we will dive into sustainability topics such as carbon capture and emissions reduction, highlighting the many ways AI and cloud solutions are reshaping the energy landscape and driving net-zero goals across the energy value chain like Cosmo Energy who harnesses the power of Microsoft AI solutions to better analyze data and improve its ESG results. We’ll also discuss the latest learnings and opportunities around innovative services such as direct air capture and CO₂ as a service.  

Cybersecurity is another topic of increasing urgency, especially in the power and utilities sector. Throughout the week, we’ll discuss AI-powered approaches to securing grid infrastructure, as well as how to address vulnerabilities to allow resilient energy delivery. We’ll also join other power and utilities leaders at a fireside chat to discuss how AI adoption can help grid operators break through common industry roadblocks and drive faster, more secure innovation.  

I look forward to participating in a Strategic Roundtable conversation on the topic of “AI Applications and Impacts in Action,” where we’ll discuss the challenges and opportunities of AI in driving sustainable business initiatives.  

These conversations are both inspiring and insightful, as we’re witnessing every day the impact AI is having across the industry. Whether it’s Uniper strengthening cybersecurity, Petrobras streamlining employee workflows, or Enerjisa Uretim accelerating data processing for improved decision making, AI is changing the way we work in energy. We’re looking forward to not only sharing success stories, but also hearing from other technology and energy experts about how AI is creating more value for them.      

Startups accelerate AI transformation and the energy transition 

The climate crisis impacts everyone, and diversity in the startup ecosystem helps to ensure that solutions also reach everyone. People of color are disproportionately affected by climate change, yet Black and Latino founders receive less than 1.5% of total United States venture capital funding, women-founded organizations receive 1.9% of those funds, and Black and Latino women founders less than 0.1%¹. 

An important outcome of CERAWeek is knowledge sharing with a diverse group of global energy leaders that represent vastly different backgrounds and stages of business experience. Energy startups are a tremendous source of knowledge and innovation driving real impact across the industry. Transformation starts with people, not technology, and Microsoft is proud to support climate technology from underrepresented startups and CEOs. This year, we’ll hear from nine innovative startups sharing their unique perspectives on advancing diversity and inclusion in energy, and how they think creatively to secure reliable and sustainable energy sources.   

Partnership, collaboration, and AI innovation in energy 

The energy industry’s biggest challenges call for strategic collaboration and innovation across sectors and geographies, as real progress cannot be accomplished alone. Our partners are at the forefront of accelerating data modernization and AI innovation, helping to improve safety, efficiency, and productivity for the industry at large. You can hear from many of them at this year’s Innovation Agora, a marketplace buzzing with energy innovation and emerging technologies. The Agora promotes partnership, connection, and sharing among the energy community, and we’re excited to uncover new synergies, lead demonstrations, and explore opportunities to learn from other industry leaders.  

At the Microsoft Agora House, we’re joined by partners and customers in sharing some of the ways they empower an AI-first energy workforce, operate for a secure and efficient energy future, advance their net-zero journeys, and grow sustainable and AI-powered businesses. Be sure to explore the Microsoft Experience Zone, featuring presentations from many partners that showcase transformative solutions and foster insightful discussions on energy innovation. 

We’re honored to highlight many of the change-makers attending CERAWeek with us this year, including the following partners: 

*Microsoft startup partner 

Recently, Microsoft, alongside our partners SLB, Halliburton, Cognite, and AspenTech, convened in Munich, Germany with many of our customers, who shared AI-powered transformation stories driving increased productivity and improved operating efficiencies. Events like this allow us to not only highlight the work of our industry partners and customers, but also to share their expertise and create new opportunities for collaboration and innovation.  

Power an AI-first energy future 

Together with our customers and partners, we’re collectively empowering organizations to innovate for a new energy future and advance sustainability goals with AI you can trust. We look forward to engaging with you on the future of carbon markets, regional energy challenges, latest developments in consumer energy, and unlocking AI to transform the energy and resources value chain.   

Learn how Microsoft can help accelerate your AI and digital transformation journey: 

• Stay up to date on the Microsoft experience at CERAWeek. 
• Visit Microsoft for Energy and Resources.
• Learn more about Microsoft Security for Enterprise. 
• Read about Microsoft Responsible AI.

Source:

¹McKinsey and Company, Underrepresented start-up founders: The untapped opportunity, June 2023. 

The post Microsoft AI powers a new energy future appeared first on Microsoft AI Blogs.

For over two decades, we have consistently delivered front-end speech capabilities that have helped clinicians document billions of patient records and that have become a cornerstone of clinical documentation. Five years ago, we took a significant leap forward by pioneering the ambient AI category in healthcare. Today, we announce the integration of these proven technologies with fine-tuned generative AI, healthcare-adapted safeguards, and new capabilities on a scalable platform. This powerful combination brings unprecedented levels of efficiency and care, offering wide-reaching benefits for all.

Our robust voice solutions have consistently delivered outcomes for clinicians, patients, and healthcare organizations. Outcomes like 5 minutes of time-savings per encounter on average that have enabled 13 additional appointment slots per provider, per month.¹ A 70% improvement in clinician work-life balance and reduction of feelings of burnout and fatigue.¹ And the delivery of better patient experiences, where 93% of patients say their physician is more personable and conversational due to our technology.²

Dragon Copilot builds on this evolution to streamline documentation, surface information, and automate tasks across care settings. It’s an AI extensible workspace that offers a unified experience, integrates with electronic health records (EHRs) such as Epic, and supports clinicians across all stages of their workflow. Part of Microsoft Cloud for Healthcare, it’s built on a secure, modern architecture and can take clinical productivity to new heights while helping boost clinician wellbeing and the patient experience, increasing efficiency, and improving financial impact.

Streamline documentation with new levels of customization

Dragon Copilot uses the latest AI models to help produce accurate documentation efficiently and consistently.

• Create clinical documentation automatically: Captures multiparty, multilingual patient-clinician conversations and orders ambiently during the visit and converts them into high quality, comprehensive, specialty-specific notes allowing clinicians to connect with patients rather than screens.
• No internet? No problem: Recordings are captured and processed once users are reconnected. 
• Produce high quality, customizable documentation: Allows clinicians to customize documentation, save templates, AI prompts, and frequently used text.
• Talk naturally: Provides natural language speech capabilities, dictation at the cursor, custom vocabularies, and intuitive voice correction capabilities across devices.

Surface information without leaving your workflow

From querying notes and getting medical information to receiving encounter recording suggestions, Dragon Copilot gives users access to pertinent information when they need it.

• Query notes: Provides details and answers questions like whether a patient is taking a certain medication, has a relevant family history, or mentioned something specific during the conversation. Copilot uses conversation transcripts and notes to address your requests.
• Get credible medical information: Clinicians can access a broad range of medical information and clinical topics, allowing them to check the latest protocols for managing a condition or check drug interactions, for example. Dragon Copilot uses grounded AI with citations to ensure trust in its responses.
• Receive suggestions: Create more complete notes. Dragon Copilot analyzes the transcript and makes suggestions to help clinicians capture specific information, such as temperature, BMI, and family history.
• Put conversational data to good use: Get insights at scale with Microsoft Fabric and Dragon Copilot. Tap into point-of-care data to better analyze usage and adoption and help improve research, patient care, engagement, outreach, and more.

“Using all these tools together is going to be a great in-room, in-office assistant for taking care of the patient. It’s just remarkable.”

Dr. Lance Owens, Chief Medical Information Officer, University of Michigan Health-West

Automate tasks with a single click

Dragon Copilot helps clinicians automate clinical and non-clinical tasks. From summarizing notes and evidence, to prepping orders and drafting referral letters and after visit summaries, it saves time and increases clinician productivity and efficiency.

• Make orders easy: Automatically capture over a dozen order types during clinician-patient conversations. With supported EHRs, orders are directly entered into the EHR order module. 
• Summarize notes: Get an instant synopsis of each encounter, including key facts and details, streamlining workflow and reducing cognitive load. Dragon Copilot makes it easy to get a quick refresher on the patient before finalizing a note.
• Summarize evidence: Receive more than just linked notes to transcripts. Dragon Copilot curates diagnosis evidence from subjective elements such as symptoms, objective elements such as labs and imaging, and other relevant information shared during the encounter.
• Create referral letters: Have Dragon Copilot quickly draft a referral letter from clinical notes by using the information gathered during an encounter. It automatically extracts key details—including medical history, requested services, and pertinent test or imaging results—and repurposes them for the letter.
• Generate after visit summaries: Dragon Copilot converts clinical documentation from encounter visits into written patient-friendly after-visit summaries, providing an easy reference for key clinical highlights and important directions.

“This is a complete transformation… it’s going to make it easier, more efficient, and help us take better quality care of patients.”

Dr. Anthony Mazzarelli, Co-President and Chief Executive Officer, Cooper University Health Care

True anywhere access

From a full-featured web app with no client installation, to dedicated mobile and desktop apps with added functionality, Dragon Copilot goes wherever you go. And for even greater workflow efficiency, Dragon Copilot is natively embedded in supported EHRs.

Access in-app training and support—whenever and wherever it’s most convenient

Dragon Copilot offers some of the best product support and insights to help healthcare organizations get the most out of their AI investment.

• On-demand training: In-app training videos and on-demand content provide access to training content.
• Integrated live chat and virtual support room: Need help? Dragon Copilot comes with immediate support without leaving the app and a virtual support room staffed by experts.
• Product and AI feedback: In-app feedback and dedicated channels enables clinicians to rate Dragon Copilot and provide feedback that helps improve the product experience, note quality and AI responses.

Our expansive partner ecosystem

Dragon Copilot is bolstered by our collaboration with healthcare industry experts across our global ecosystem of trusted partners. We work with leading independent software vendors (ISVs), system integrators (SIs), and cloud service providers (CSPs) so our customers in every region can access the healthcare solutions and offerings they need.

Dragon Copilot is coming to you

Dragon Copilot will be generally available in the United States and Canada in May 2025, followed by the United Kingdom, Germany, France, and the Netherlands. Microsoft is also committed to bringing a new Dragon experience to other key markets that are using Dragon Medical today.

Built on a foundation of trust

We are dedicated to helping customers use and build AI that is trustworthy, secure, safe, and private. By using the Microsoft Secure Future Initiative, we support the highest standards of security, privacy, and compliance. Our AI aligns with Microsoft’s responsible AI practices and incorporates healthcare-specific clinical, chat, and compliance safeguards to ensure accurate and safe outputs. Additionally, our data is grounded in privacy principles, backed by transparent policies, and protected by rigorous safeguards.

“Microsoft has invested a lot in security. It gives me peace of mind that Dragon Copilot is part of the whole Microsoft suite.”

Novlet Mattis, Senior Vice President, Chief Digital and Information Officer, Orlando Health

Ready to take the next step?

• Visit us at HIMSS Booth #2221.
• Not attending HIMSS 2025? Join us for our livestream event.
• Learn more on Dragon Copilot.
• Explore the latest with our new healthcare AI models.

Dragon Copilot

A new groundbreaking solution that transforms the way clinicians work

Discover more

¹ Microsoft survey of 879 clinicians across 340 healthcare organizations using DAX Copilot; July 2024.

² Survey of 413 patients conducted by multiple healthcare organizations whose clinicians use DAX Copilot; June 2024.

The post Meet Microsoft Dragon Copilot: Your new AI assistant for clinical workflow appeared first on Microsoft AI Blogs.

Create the future now with Azure AI

Microsoft can help companies of any size and AI skill level build and scale exceptional AI solutions quickly, securely and responsibly. The Azure AI platform provides a comprehensive suite of models, services, tools, and the latest AI technologies that can power your AI transformation.

With the broadest choice in models and pre-trained AI services to best fit your business, Azure AI can help you innovate fast. Explore, compare, swap, deploy and evaluate using large language models (LLMs), large multimodal models (LMMs), small language models (SLMs), domain specific models, industry models in one model catalog—including Azure OpenAI Service.

All developers can quickly become AI developers. Build without boundaries with Azure AI Foundry, a trusted, integrated platform for developers and IT administrators to design, customize, and manage AI applications and agents. Access collaborative, comprehensive generative AI operations tools to accelerate the development lifecycle and differentiate your apps. Assess and protect apps with configurable evaluations, safety filters, and security controls.

Power your AI innovation with a highly scalable and performant AI infrastructure that is optimized from silicon to systems—across every layer of the stack from the datacenter to the network to deliver peak performance. Azure AI infrastructure leverages the most advanced technologies and the full-stack NVIDIA accelerated computing platform for generative AI and industrial to power your AI innovations. And with built-in data privacy, security, safety, and copyright protection you bring AI to market confidently.

Microsoft for Startups helps startups leverage AI by providing free access to industry-leading AI services, up to $150,000 in Azure credits, and expert guidance through unlimited 1:1 meetings. The program also offers training resources, community networking opportunities, and tools for responsible AI use, enabling startups to build and deploy AI solutions efficiently and cost-effectively.

Experience the innovation at the NVIDIA GTC AI Conference

Whether you’re a developer, researcher, or business leader, the NVIDIA GTC AI Conference is the place to be to discover the latest AI technology and solutions. Come see Azure AI and NVIDIA AI in action.

Join Microsoft March 17-21, 2025 in San Jose, California (or virtually) to explore the latest AI technology and solutions and discover how Azure’s end-to-end AI platform can accelerate your AI innovation. From live Microsoft sessions to hands-on experiences and networking events, you can connect with and learn from Microsoft AI experts, partners, customers, and your peers. Microsoft is a proud Elite sponsor of NVIDIA GTC 2025.

Attend Microsoft talks and panels

Learn how to innovate fast with the broadest choice in models and pre-trained AI services, comprehensive generative AI operations tools and the most scalable and performance infrastructure. Attend Microsoft talks and panels in the GTC main program. Click on session titles to add to your GTC schedule.

Featured sessions

• S74606: Build and run next generation AI on Azure’s proven AI Infrastructure platform
  • Speakers: Nidhi Chappell, Vice President, Azure AI Infrastructure and Omar Khan, Vice President, Azure Infrastructure Marketing
• S74611: Accelerate AI Innovation with NVIDIA and Azure AI Foundry
  • Speaker: Mike Hulme, General Manager, Azure Digital and App Innovation

• S74603: Integrate NVIDIA NIM with Azure Container Apps Serverless GPUs
  • Speaker: Devanshi Joshi, Senior Product Marketing Manager, Azure Digital Applications

• S74600: Unlock AI Potential with Azure Infrastructure: Innovations, Best Practices
  • Speaker: Kanchan Mehrotra, Group Technical Manager, Azure HPC & AI

Talks and panels

• S72436: Building a 3D image-based search system for medical images

• S72905: Accelerating DiskANN Vector Search on GPU

• S71676: Accelerating AI Pipelines: How NVIDIA Tools Boost Bing Visual Search Efficiency

• S71145: Wired for AI: Lessons from Networking 100K+ GPU AI Data Centers and Clouds

• S73232: Physical AI for the Next Frontier of Industrial Digitalization

• S72355: Harnessing AI Agents for Enterprise Success: Insights from AI Experts

• S71521: Build Secure and Scalable GenAI Applications with Databases and NVIDIA AI

• S72435: Explore AI-Assisted Developer Tools for Accelerated Computing App Development

Visit Microsoft booth #514

Experience the latest in Azure AI. Join live discussion sessions at Microsoft’s in-booth theater, connect with Microsoft and partner AI experts, and try out the latest AI technology and hardware. Stop by Microsoft booth #514 daily to:

• Attend in-booth information sessions.
• Get hands-on with the latest AI solutions in our demo pods.
• Check our latest AI technology in our hardware bar.
• Take a break in our lounge area and enjoy free coffee served by Artly, the barista bot. 
• Enter for a chance to win cool stuff!

Get social

Connect with Microsoft executives and AI experts and your peers at our social events at GTC. Enjoy drinks, food, and networking. Microsoft and NVIDIA will host an invitation-only executive dinner on Tuesday, March 18, a night of networking food and fun on Wednesday, March 19, and a brunch for women in technology on Thursday, March 20. Contact your Microsoft representative to request an invitation.

Learn more about Azure AI and NVIDIA AI

• Build and scale exceptional generative AI systems with Azure AI Platform.
• Build AI-enabled applications with Azure AI and NVIDIA.

The post AI innovation starts here—join Microsoft at NVIDIA GTC appeared first on Microsoft AI Blogs.

In this blog, we’ll lay out the latest and greatest of our curated Fabric skilling paths on Microsoft Learn to help your team drive transformative business outcomes. We’re also announcing a new certification exam available with a 50% discount! And of course, we’ll dive into our exciting upcoming in-person event, FabCon, where we’ll have even more surprises in store, plus a chance for you to connect with industry experts and the larger data-analysis community. Let’s get started!

Get certified as a Fabric Data Engineer

Learning Microsoft Fabric equips aspiring engineers with skills to streamline workflows, handle large-scale data processing, and integrate advanced AI tools. As a Fabric Data Engineer, you’ll have the chance to design and manage cutting-edge data solutions that move AI-powered insights. That’s why we’re thrilled to announce the general availability of our new certification for Fabric Data Engineers. 

By earning your Microsoft Certified: Fabric Data Engineer Associate certification, you’ll be equipped with an industry-recognized credential to set you apart in the growing field of data and AI. But you don’t have to do it alone. We’ve convened two live and on-demand series of expert-led walkthroughs to help you either get started with Fabric or build on your existing skills. Designed with Fabric Data Engineers in mind, these Microsoft Fabric Learn Together sessions (available in four time zones and three languages) are intended to give you the knowledge and confidence to ace your certification exam and take your data engineering career to the next level.

Want to explore the ins and outs of Fabric on your own time? We also have an official plan on Microsoft Learn featuring everything you’ll need to learn to pass the DP-700 Fabric Data Engineer Associate certification exam, including: 

• Describe the core features and capabilities of lakehouses in Microsoft Fabric.

• Use Apache Spark DataFrames to analyze and transform data.

• Use Real-Time Intelligence to ingest, query, and process streams of data.

• And much more! 

There’s more: For a limited time, you can get 50% off the cost of the DP-700 Fabric Data Engineer Associate certification exam. To be eligible, either attend one of the Learn Together sessions, complete the Plan on Microsoft Learn, or have previously passed the DP-203 exam. You have until March 31, 2025, to request the discount voucher, so get started fast-tracking your data engineering career today!

Join a community of Fabric users and experts at FabCon Las Vegas 

No matter your role or skill level, you can connect with other Fabric users and experts at the Fabric Community Conference from March 31-April 2, 2025, in Las Vegas. Join us at the MGM Grand for the ultimate Microsoft Fabric, Power BI, SQL, and AI event featuring over 200 sessions with speakers covering exciting new Fabric features and skilling opportunities. 

Connect one-on-one with community and product experts, including a dedicated partner pre-day, all-day Ask-the-Experts hours, a bustling expo hall, and plenty of after-hours social events. Workshops will also be available on March 29th, 30th, and April 3rd, making this the most comprehensive Microsoft Fabric learning experience to date. 

Don’t miss out! Register today to grab the early bird discount and use code MSCUST for $150 off registration. 

Build AI apps faster with SQL databases in Fabric 

Fabric’s capabilities and versatility are always expanding. We recently introduced a public preview of SQL databases to make building AI apps faster and easier than ever. SQL Database in Microsoft Fabric provides a unified, autonomous, and AI-optimized platform that accelerates app development by up to 71%, empowering businesses to innovate faster and gain a competitive edge in the AI era. 

To enhance your skills in working with SQL databases in Fabric, we’ve designed a new learning path called Implement operational databases in Microsoft Fabric. This course will guide you through the process of creating and managing SQL databases within the Fabric environment. You’ll also learn how to provision an SQL database, configure security settings, and perform essential database operations.

The course covers important topics such as data modeling, query optimization, and performance tuning specific to Fabric’s SQL capabilities. By completing this learning path, you’ll gain hands-on experience with Fabric’s SQL features and be better equipped to design and implement efficient database solutions.

You can also watch on-demand sessions of a recent SQL Database in Fabric Learn Together series to see how to build reliable, highly scalable applications where cloud authentication and encryption are secured by default. 

Unlock AI-ready insights and transform your data 

There’s always more to discover on Microsoft Learn, including a plan to help you harness AI and unify your intelligent data and analytics on the Fabric platform. With the Make your data AI-ready with Microsoft Fabric plan on Microsoft Learn, you’ll find out how to implement large-scale data engineering, build a lakehouse, and explore warehouse solutions.

This free, curated, and self-paced plan guides you through key learning milestones:

• Ingesting data through shortcuts, mirroring, pipelines, and dataflows. 

• Transforming data using dataflows, procedures, and notebooks. 

• Storing processed data in the lakehouse and data warehouse for easy retrieval. 

• Exposing data by creating reusable semantic models in Power BI, making transformed data accessible for analysis. 

Kick off your data and AI journey at Microsoft Learn 

If you’re looking to expand your Microsoft Fabric expertise and accelerate your professional development, we have everything you need:

• Get started on the path to becoming a Fabric Data Engineer Associate with our official plan on Microsoft Learn: Get Certified! Become a Fabric Data Engineer.

• Attend one of the Microsoft Fabric Learn Together sessions.

• Request a 50% discount voucher for the DP-700 Fabric Data Engineer Associate certification exam.

• Connect with Fabric experts at the Fabric Community Conference from March 31-April 2, 2025, in Las Vegas.

• Enhance your skills in working with SQL databases in Fabric with the Implement operational databases in Microsoft Fabric learning path.

• Harness AI to unify your data and analytics with the official plan on Microsoft Learn: Make your data AI-ready with Microsoft Fabric.

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