New capabilities include the ability to surface relevant work-related information alongside patient data for customers using Microsoft 365 Copilot; partner-built AI apps and agents available through Microsoft Marketplace that extend intelligence across revenue cycle, clinical insights, and decision support; and expanded role-based experiences for physicians, nurses, and radiologists designed to scale securely across settings and geographies.

Transform the way care teams work with Dragon Copilot

Today, more than 100,000 clinicians rely on Dragon Copilot as part of their daily practice—supporting care for millions of patients every month. That kind of adoption doesn’t happen by accident; it happens when technology earns trust, fits naturally into clinical workflows, and proves its value day after day. As healthcare continues to accelerate, the question facing organizations is no longer if AI will be part of care delivery, but how quickly they can equip their teams with tools that scale safely, work across roles, and keep clinicians focused on patients. The new Dragon Copilot capabilities we’re introducing at HIMSS 2026 build on this proven foundation—extending trusted clinical support beyond documentation to meet the growing demands of modern care.

Clinicians need more than access to data—they need an AI assistant that works alongside them, understands context, and supports action across systems and settings. Built on Microsoft Azure, Dragon Copilot delivers this capability with enterprise‑grade security, responsible AI, and cloud scale—giving organizations the confidence to deploy broadly and grow with care teams wherever they work.

“We ultimately went with Microsoft because of the security, the compliance, the scalability, and the fact that they’ve delivered reliable solutions for years.”—Snehal Gandhi, MD, Vice President and Chief Medical Information Officer, Cooper University Health Care

See what Dragon Copilot has to offer:

Paused

Unifying the disparate—so care teams can move faster, with confidence

By unifying information from across systems and sources, Dragon Copilot reduces fragmentation and unnecessary searching—bringing patient data, trusted clinical content, and partner powered AI insights into a single, contextual experience within the clinical workflow.

What makes this approach different is not just access to information, but how intelligence is delivered and applied. Clinicians can naturally query, summarize, create, and act using voice or text—without toggling between tools. Insights are surfaced instantly in one place, enabling care teams to move fluidly from understanding to action while spending less time navigating systems and more time with patients.

That intelligence is grounded in a broad set of trusted sources, including:

• Prebuilt trusted clinical content with citations
• Patient data like diagnoses, labs, medications, and allergies
• Organizational content such as policies, procedures, schedules, and communications

When needed, reliable web information can also be accessed through a safety‑first pathway—ensuring responses remain appropriate for clinical use.

Care delivery depends on more than clinical facts—it also depends on fast access to the work context around care. With Microsoft 365 Copilot, powered by Work IQ and accessible inside Dragon Copilot, clinicians can pull in relevant work-related information from connected apps and enterprise data, right where they’re already working. Work IQ is the intelligence layer that helps Copilot understand how people collaborate across emails, files, meetings, and chats—so responses are grounded in the right context. The result is a more unified experience that reduces time spent searching across tools and keeps momentum inside the clinical workflow.

Dragon Copilot extends clinical intelligence beyond any single system or screen. Instead of being locked into one interface, clinicians can invoke powerful AI capabilities wherever they’re already working—across applications, EHRs, and web pages. By simply clicking or highlighting text, Dragon Copilot can read, understand, and apply its intelligence directly in context, without forcing clinicians to switch tools or reenter information.

For example, a clinician reviewing a note can place their cursor over a sentence and say, “Add more detail about what the patient shared regarding their cardiac history.” Dragon Copilot immediately expands the documentation using the surrounding clinical context—no copying, no pasting, and no workflow disruption—helping clinicians move faster while keeping their focus on the patient, not the screen.

Building on this foundation, Dragon Copilot further unifies innovation through AI apps and agents available in Microsoft Marketplace. Developed by partners such as Canary Speech, Humata Health, Optum, and Regard, these solutions deliver capabilities across clinical insights, revenue cycle management, prior authorization, and clinical decision support. Organizations can easily purchase, deploy, and scale partner innovation—while clinicians experience those insights directly within their existing workflows.

Dragon Copilot/Marketplace video placeholder

“Sentara Health is integrating Regard’s diagnosis and documentation technology within Dragon Copilot to save time, improve revenue integrity, and most importantly improve care.

By combining Dragon’s ambient conversation capture with Regard’s ability to surface key insights from data, we expect to help our clinicians identify comorbidities and relevant diagnoses in real time without adding steps to their workflow. Our goal is straightforward: strengthen the clinical picture, reduce documentation burden, and support more informed decision-making at the point of care.”—Dr. Joseph Evans, Vice President, Chief Health Information Officer at Sentara Health

Simplifying the complex—so care teams can be present with patients

Dragon Copilot streamlines clinical documentation and routine tasks, so clinicians spend less time navigating systems and more time focused on patient care. By simplifying physician and nursing charting, notes, flowsheets, and radiology reporting, it reduces rework and cognitive burden—helping care teams work more efficiently and confidently across the day.

This simplification is powered by healthcare-grade AI models built for clinical accuracy, with clinical note quality evaluated using the Provider Document Summarization Quality Instrument (PDSQI9)—an industry standard developed with leading academic and healthcare institutions to ensure clear, consistent, and clinically appropriate outputs.

Beyond documentation, Dragon Copilot automates high friction tasks across the workflow. Persona specific note types, automated referral letters and after‑visit summaries, summaries of prior radiology reports, and proactive coding guidance reduce manual effort and unnecessary toggling—allowing care teams to focus on decisions, not data entry.

New and expanded capabilities include:

• Proactive ICD‑10 specificity suggestions, delivered during note review to support timely, accurate reimbursement.
• Reusable custom clinical documents, created from prompts or examples and managed as templates, allowing clinicians to get additional unique content created automatically, such as custom letters.
• Pull-forward workflow support to jump-start new documentation from prior notes.
• Multilingual conversation capture, connecting with patients in their language. Captures the conversation in 58 languages and automatically converts the encounter into a note written in the primary language used in each country.
• Seamless migration from Dragon Medical One, preserving existing commands, vocabularies, profiles, templates, and AutoTexts.

Scaling across roles, geographies, and devices

Dragon Copilot is designed with role-based experiences that deliver the right capabilities to each clinician, when and where they’re needed. Physicians, nurses, radiologists, and other care team members benefit from workflows tailored to their unique responsibilities—from documentation and care coordination to image interpretation—while organizations maintain consistency, security, and compliance at scale. With a single solution spanning multiple roles, including the only experience built for radiologists and demonstrated outcomes for nurses, healthcare organizations can simplify their technology footprint and drive greater return on investment.

Physicians

Dragon Copilot supports physicians across care settings through EHR‑integrated workflows and a dedicated app available on mobile (iOS and Android), web, and desktop. Physicians can document more efficiently, access timely clinical information, and reduce cognitive load—whether at the point of care or on the go.

Paused

Together with partners, Dragon Copilot continues to scale globally and is now available in U.S., Canada, the UK, Ireland, France, Germany, Austria, Belgium, and the Netherlands.

Nurses

Dragon Copilot enhances nursing workflows by ambiently capturing documentation at the point of care and transforming conversations into structured flowsheet entries. With expanded support for all med-surg flowsheet templates and lines, drains, and airways (LDAWs) additions and removals—nurses can document more completely without disrupting care.

Through a dedicated app available on mobile (such as iOS and Android), web, and desktop, nurses can also access information from trusted medical sources, query transcripts to surface key patient details, and create concise summaries—without leaving their workflow—reducing clicks, and keeping focus on patient care.

“Dragon Copilot gives power back to nurses to spend time at the bedside with face-to-face interactions.”—Stephanie Whitaker, MSN, Registered Nurse, Chief Nursing Officer, Mercy

Nurses using Dragon Copilot have reported reduced cognitive load, faster documentation, and improved patient experience, reinforcing the value of role‑specific AI designed for frontline care. The Dragon Copilot nursing experience is available in the United States.

“I can say that without a doubt, using Dragon Copilot has significantly reduced the time that I’m focused and worrying about sitting down and getting my charting done behind the computer.”—Christine Dupire, Registered Nurse, Mercy

Radiologists

Paired with PowerScribe One, Dragon Copilot helps minimize repetitive tasks such as reviewing prior reports and automates routine steps in report creation. It surfaces relevant clinical context, integrates customizable AI experiences, and provides intelligent access to credible information—helping radiologists stay focused and deliver high‑quality reports with confidence. The Dragon Copilot radiology experience is currently in preview in the United States.

“As we embrace the next frontier of AI, we know that having cloud-based solutions that work seamlessly with our existing products and systems is paramount. Having Dragon Copilot as a companion for PowerScribe One gives me confidence that I can test and benefit from the latest AI advancements with minimal disruptions and distractions.”—Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences University of Rochester Medical Center

Restoring humanity to healthcare through AI

AI will only transform healthcare if it truly serves the people delivering care. Dragon Copilot is built for that purpose—bringing role‑based experiences, hands‑free workflows, and proactive clinical intelligence together in a way that fits naturally into how clinicians work. By unifying information, reducing friction, and extending trusted intelligence across the workflow, Dragon Copilot helps clinicians spend less time managing tasks and more time connecting with patients—restoring focus, confidence, and humanity to the practice of medicine.

Join the more than 100,000 clinicians already using Dragon Copilot

Connect with a Dragon Copilot product specialist

• Visit us at the HIMSS 2026 Booth #2812.
• Get the playbook to learn how clinicians utilize AI to work smarter.
• Download the white paper to explore AI use cases transforming healthcare.

The post Unify. Simplify. Scale: Microsoft Dragon Copilot meets the moment at HIMSS 2026 appeared first on The Microsoft Cloud Blog.

At Microsoft, we see this shift clearly in our conversations with customers globally. Leaders are moving quickly to scale AI, while remaining accountable for sustainability commitments to customers, investors, regulators, and employees. Too often, these goals are positioned as tradeoffs. In practice, they are reinforcing. When AI transformation is approached with intent and discipline, it can drive stronger business performance while advancing sustainability outcomes.

That belief is the foundation of our new Strategic Guide: Aligning AI Transformation with Sustainability Goals.

Why AI transformation and sustainability belong together

The most meaningful impact from AI comes not from isolated pilots, but from transformation—when intelligence is embedded across strategy, operating model, and culture. That’s the premise of Microsoft’s Frontier transformation AI vision, where organizations are enriching employee experiences, reinventing customer engagement, reengineering core business processes, and bending the curve on innovation.

What’s often overlooked is that these same shifts deliver sustainability gains. More efficient processes require less energy and fewer resources, better data reduces waste and overproduction, and modern cloud and AI architectures—when designed intentionally—can shrink digital footprints while increasing speed and resilience.

Five practices for sustainable AI transformation

Our new Strategic Guide: Aligning AI Transformation with Sustainability Goals makes this connection explicit and practical, offering five essential practices leaders can apply today to turn AI ambition into measurable business and sustainability outcomes.

1. Adopt a modern cloud strategy.
   Moving workloads to efficient, hyperscale cloud environments is often the single biggest step organizations can take to reduce energy use while improving performance. Modern cloud platforms enable organizations to scale AI intelligently—optimizing compute, storage, and cooling in ways that are difficult to achieve on‑premises.
2. Assess your cloud provider’s sustainability and trust goals.
   An organization’s environmental footprint increasingly extends beyond its own walls. Transparency, renewable energy commitments, and responsible datacenter operations matter because your partners’ practices become part of your sustainability equation.
3. Manage data responsibly for efficient and accurate AI.
   Efficient data pipelines, strong governance, and thoughtful lifecycle management do more than reduce risk. They also reduce unnecessary compute and storage, helping AI systems become more accurate, scalable, and sustainable.
4. Optimize cloud workloads.
   As AI moves from pilots to production, sustainability outcomes increasingly depend on how workloads are designed and run in the cloud. Right‑sizing compute, reducing idle resources, and streamlining data movement lowers energy use while improving performance and cost control.
5. Fit the model to the mission.
   With efficient cloud foundations in place, leaders can focus on selecting the right AI models for the right jobs. Aligning model choice with business objectives, performance requirements, and sustainability goals enables organizations to scale AI responsibly—maximizing impact without unnecessary complexity or resource use.

Together, these practices help leaders move beyond aspiration to execution—delivering what the guide describes as a dual return: stronger business performance alongside reduced environmental impact.

What the research shows

AI can deliver better results—faster and more sustainably

In a simple experiment highlighted in the Strategic Guide: Aligning AI Transformation with Sustainability Goals, Microsoft set out to understand how efficiently AI could perform a common knowledge work task.

Five professionals were asked to summarize a 3,000-word technical report into 200 words. Completing the task took a median of 41 minutes and consumed an estimated 13.7 watthours of laptop energy.

Using a single prompt, Microsoft Copilot completed the same task in under a minute—using just 0.29 watthours of datacenter energy. That’s roughly 55 times faster and 47 times more energy efficient. Independent reviewers also rated the AI-generated summary higher for clarity, accuracy, completeness, and overall quality.

The takeaway is clear: when AI is applied thoughtfully, it can reduce time, energy consumption, and friction—while delivering stronger outcomes.

What this looks like in practice

Across industries, organizations are already demonstrating how AI transformation and sustainability reinforce one another.

ABB, a global leader in electrification and automation, is using AI to help energy and asset intensive industries operate more efficiently while meeting increasingly ambitious sustainability goals. The Genix Industrial AI Platform helps ABB customers deliver from 25% efficiency gains in data centers to 18% energy savings in cement production.

In the construction sector, Giatec is tackling one of the world’s most carbon intensive materials: concrete. Built on Microsoft Azure, Azure IoT Hub, and Azure OpenAI in Foundry Models, Giatec’s intelligent platform optimizes mix designs, reduced 2.5 million tons of carbon emissions, and increased profit margins for concrete producers by up to 100%.

Space Intelligence uses AI to turn vast amounts of satellite data into trusted, actionable insights for global climate and conservation efforts. The company moved to Microsoft Foundry and the Planetary Computer ecosystem to reduce the time required to map the world’s forests by 75%, completing coverage of more than 50 countries in just one year, something that would’ve taken six years—delaying the ability to drive and verify real world climate impact.

Becoming a Frontier organization—responsibly

These examples point to a broader trend: the organizations leading in AI are also redefining what responsible innovation looks like. Frontier organizations don’t treat sustainability as a separate initiative or reporting exercise. They design it into their transformation from the start.

Solving systemic challenges like climate change requires collaboration—across value chains, ecosystems, and sectors. It also requires leaders who are willing to ask better questions about how technology is deployed, measured, and governed.

This perspective is demonstrated by Microsoft’s recent announcement on community-first AI infrastructure. As we scale AI, we have a responsibility to consider not only what these systems can do, but how and where they are built. That means investing in infrastructure that supports local communities, prioritizes renewable energy, manages water responsibly, and is designed with transparency and long-term partnership in mind. Building AI responsibly isn’t just about reducing risk—it’s about earning trust and ensuring that the benefits of innovation are shared broadly—from the datacenter outward.

Used thoughtfully, AI can help us make smarter decisions, operate more efficiently, and unlock entirely new ways of creating value—while staying within planetary boundaries. Used carelessly, it risks accelerating the very challenges we’re trying to solve.

That’s why clarity matters. Frameworks matter. And practical guidance matters.

What leaders can do next

If you are responsible for shaping your organization’s AI strategy, sustainability agenda, or both, I encourage you to explore the Strategic Guide: Aligning AI Transformation with Sustainability Goals. It is designed to help you cut through complexity, identify where to start, and move forward with clear actionable strategies.

At Microsoft, we’re committed to helping our customers become Frontier organizations that lead with innovation, responsibility, and impact.

The challenges we face are complex. But with the right strategy, the right technology, and a shared commitment to progress, AI can help us build a more sustainable and prosperous future—for everyone.

Strategic Guide: Aligning AI Transformation with Sustainability Goals

Read the guide

The post Beyond Davos 2026: 5 practices to align AI transformation and sustainability appeared first on The Microsoft Cloud Blog.

Healthcare leaders today are navigating a landscape of escalating cyberthreats and increasing operational complexity. Cybersecurity is not just a technical requirement—it’s essential to building patient trust, ensuring care continuity, and enabling future innovation in healthcare.

At the 2025 Scottsdale Institute CISO Summit, top security leaders gathered to share real stories, big challenges, and practical solutions for keeping patient data safe in a rapidly changing world. As a follow-up, they released a report on the Future-Proofing Healthcare Cybersecurity: AI, Cloud Transformation, and Capabilities for Tomorrow.

Here are a few highlights:

Why cybersecurity matters more than ever

Healthcare is an often-targeted and heavily regulated industry with patient outcomes at stake.

• Cyber threats are evolving fast. AI and cloud transformation are opening new doors for care, but also new risks. Cybercriminals are getting smarter, and healthcare organizations must keep pace to protect sensitive information and help ensure patient safety.
• It’s personal. Healthcare leaders reminded us that every security decision impacts real people—patients, families, and staff. The goal is always to deliver the best care, safely.

What healthcare teams need to know about cybersecurity

1. Collaboration is critical

CEOs, CIOs, and CISOs must work together. Innovation and security go hand-in-hand, and strong partnerships help organizations stay ahead of threats.

2. AI opportunities and challenges

AI can make healthcare smarter and more efficient, but it also introduces new risks. Leaders must ask tough questions about how AI tools use data, how they’re trained, and how to keep them secure.

3. Training and upskilling

Investing in technology is only half of the battle. Staff need ongoing training to use new tools safely and effectively. Creative incentives—like paid training time or career pathways—help teams grow and adapt.

4. Breaking down silos

Legacy structures can slow progress. Integrated teams and cross-functional collaboration are key to finding and fixing vulnerabilities quickly.

5. Third-party risk management

Vendor relationships are more complex than ever. Organizations must raise the bar for vendor assessments, ensure business continuity, and educate users about risks.

6. Resilience and response

Prevention is important, but detection and rapid response are essential. AI-powered tools can help spot suspicious behavior, but human oversight remains crucial.

Patient safety, care continuity, and trust in healthcare depend on getting cybersecurity right

Healthcare organizations face a critical inflection point. Success will require:

• Embracing AI-powered defenses
• Building stronger networks among security professionals
• Accelerating vendor sophistication
• Developing agile incident response protocols

Security-first in action: St. Luke’s Health Network

For St. Luke’s University Health Network, protecting patient data is key to delivering great care. Serving people in Pennsylvania and New Jersey at 13 hospitals and 607 practices, including a number of specialties, it has a sizeable data estate to safeguard.

Succeeding at that vital mission got easier when St. Luke’s reduced its number of security tools and gained dramatically greater visibility into the data it needs to maintain security.

It replaced several third-party security solutions with Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft Defender for Office 365, adding to its Microsoft Security solution base for a unified security posture that helps security teams do what they do best: protect St. Luke’s from an ever-evolving threat landscape.

I believe that is likely the first company on the cusp of creating the predictive model that will take us past threat detection and enable threat prevention. That’s why we trust Microsoft.

–David Finkelstein, Chief Information Security Officer, St. Luke’s University Health Network

Let’s build a secure future for healthcare, together

At Microsoft, we’re focused on helping organizations consolidate fragmented security capabilities and apply intelligence to deliver better outcomes. Since launching the Secure Future Initiative (SFI) in November 2023, Microsoft has mobilized the equivalent of more than 34,000 engineers to mitigate risk and improve security for Microsoft and our customers.¹

Guided by three security principles—secure by design, by default, and in operations—we have made measurable progress in the areas of culture, governance, and our six engineering pillars. Still, there is more to do, and teams across the company are working to improve the security of every product, address learnings from every incident, and continuously improve our methods and practices.

Microsoft has been a leader for years in developing AI technologies in accordance with responsible AI principles designed to meet compliance requirements, protect data and systems, and maintain customer trust.

Learn how AI can help fortify healthcare security and compliance

• Download the healthcare security e-book.
• Check out the healthcare security and compliance infographic.
• For insights on how to stay ahead of emerging challenges and threats with AI and security for AI, explore the 2025 AI in Healthcare Decision Brief.
• Explore Microsoft security solutions.
• Follow our cybersecurity updates on Microsoft Security LinkedIn and on X @MSFTSecurity.
• Read the full Scottsdale Institute CISO 2025 Summit report.

¹ November 2025 Secure Future Initiative progress report, Microsoft

The post Future-proofing healthcare cybersecurity: What every leader should know appeared first on The Microsoft Cloud Blog.

At the 2025 Radiological Society of North America Conference and Annual Meeting (RSNA 2025), Microsoft is extending the value of its flagship AI clinical assistant, Microsoft Dragon Copilot, specifically for radiologists. Now in preview, Dragon Copilot integrates directly into familiar workflows to help radiology teams focus on their interpretations.*

Serving as a companion for PowerScribe One, Microsoft’s leading reporting solution and trusted by thousands of radiologists, it delivers a unified workflow that streamlines reporting, surfaces information, and automates tasks.

Delivering generative, multimodal, and agentic AI without disrupting existing workflows

Every day, radiologists face a relentless tide of images, data, and documentation—each with varying degrees of complexity and urgency. And every moment a radiologist spends wrestling with fragmented technology is a missed opportunity to make a difference when it matters most.

This challenge extends into the AI landscape where fragmentation occurs when tools address narrow problems but create extra steps and poor integration into broader clinical workflows. Yet, hope is on the horizon. With many radiologists relying on the proven capabilities of PowerScribe One, like speech recognition to accurately dictate their report content and generative AI for generating draft impressions, organizations are looking for ways to integrate AI without altering the entire reporting experience.

For radiologists, Dragon Copilot works with PowerScribe One to deliver generative, multimodal, and agentic AI in a secure, scalable, and extensible way. It brings cloud-native features and AI directly into the radiologist’s workflow. By integrating with PowerScribe One, Dragon Copilot can further streamline report creation without interrupting the radiologist’s interpretation.

As we embrace the next frontier of AI, we know that having cloud-based solutions that work seamlessly with our existing products and systems is paramount. Having Dragon Copilot as a companion for PowerScribe One gives me confidence that I can test and benefit from the latest AI advancements with minimal disruptions and distractions.

—Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences University of Rochester Medical Center

AI capabilities tailored for radiologists

Prior report summarization: Radiologists often rely on prior reports to provide essential context for interpreting current studies. Prior report summarization in Dragon Copilot distills relevant prior reports and associated metadata into concise bullets, helping improve speed and accuracy in diagnostics. It assists the radiologists in interpretation of the current exam by clearly highlighting findings from prior reports requiring follow-up or ongoing attention.

Chat with credible sources: During an interpretation, radiologists may have questions or need to do additional research on a specific topic. A chat experience in Dragon Copilot routes questions to the appropriate agent or plugin to deliver relevant, reliable responses backed by credible sources with patient context—helping radiologists work more efficiently and intelligently without having to toggle between windows and other applications.

Report optimization for billing and beyond: Dragon Copilot can use third-party AI insights from partners to check the report content to help radiologists improve accuracy and quality, helping to prevent downstream issues like claim denials. By surfacing important details and helpful reminders directly inside the reporting workflow, radiology teams can optimize their reports for billing and beyond.

AI draft report content: With Dragon Copilot, organizations can accelerate the path to intelligent, draft-first reporting by integrating self-developed and third-party multimodal AI models. Radiologists can receive AI-generated draft report content from image analysis, which they can then review, test, and validate.

Accelerating innovation with new models and a rich partner ecosystem

Many organizations are experimenting with testing, fine-tuning, and building AI models tailored to their specific needs. With the rise of multimodal AI models that can analyze medical imaging, genomics, clinical records, and more, customers and partners are leading the next wave of innovation and exploring new use cases.

Collaborating on this work allows us to assess models like CXRReportGen that support grounded report generation based on image analysis from chest X-rays. With these new capabilities comes the challenge of how to surface model output into clinical workflows in ways that can add value. This has given us the opportunity to collaborate on AI interoperability with Microsoft in concert with other partners like Epic and Sectra to test how multimodal AI can work across systems to optimize clinical workflows and improve patient care.

—Dr. Richard Bruce, Professor and Vice Chair of Informatics, Department of Radiology at the University of Wisconsin School of Medicine and Public Health

Microsoft Foundry offers a growing catalog of more than 50 first- and third-party healthcare AI models across modalities like radiology, pathology, dermatology, and protein analysis. Key models include MedImageInsight for image embedding, MedImageParse for segmentation, and CXRReportGen for drafting imaging reports.

Building on this foundation, Microsoft now provides premium versions of two proprietary AI models—CXRReportGen Premium and MedImageInsight Premium—trained on high-value datasets for superior accuracy and task-specific performance. These models allow developers and ISVs to create advanced imaging solutions without starting from scratch, supporting use cases such as image quality checks, image-to-image search, exam parameter classification, and metadata analysis.

Most importantly, our partners are also pushing the boundaries of what’s possible and offering radiology-specific AI apps and agents that can surface directly in Dragon Copilot.

• Lunit, a global leader in AI-powered cancer screening and diagnostics, brings advanced AI-powered image analysis for mammography exams to Dragon Copilot, allowing radiologists to receive real-time insights directly within their reporting workflow. Lunit’s comprehensive breast screening data assists radiologists in classifying and correlating abnormalities. By integrating Lunit’s algorithms, Dragon Copilot helps surface critical findings and optimize report accuracy without disrupting clinical interpretation—supporting diagnostic efficiency and better patient care.
• Zotec extends the value of Dragon Copilot by integrating revenue cycle management and billing intelligence directly into the radiologist’s workflow, helping ensure reports are complete, compliant, and satisfy quality measures before final sign-off. This seamless connection reduces the risk of missed billing information and the need for addenda, saving time and improving reimbursement accuracy. By making Zotec’s expertise available, Dragon Copilot empowers radiology teams to focus on clinical care while automating complex administrative tasks.

Lunit and Zotec are part of a broader ecosystem of partners bringing new AI innovations to Dragon Copilot customers. The collaborative innovation between Microsoft and its partners keeps solutions adaptable, secure, and tailored to the evolving needs of healthcare professionals.

Expanding what cloud, data, and AI can do for radiology

The power of our ecosystem extends beyond Dragon Copilot. At RSNA 2025, we’re extending that innovation across the broader Microsoft Azure ecosystem, showcasing partners who are transforming imaging workflows and data management in the cloud.

• Merge by Merative, from first click to final read, accelerates imaging workflows in the cloud.
• CitiusTech helps organizations consolidate their medical imaging on Azure with their digital imaging and communications in medicine (DICOM) migration suite.
• Qumulo allows for intelligent retention and lifecycle management of imaging data in one unified file system on Azure.
• Milvue delivers both automated X-ray measurements and pathology detection for chest and appendicular skeleton imaging, supporting both pediatric and adult patients.

Learn more about AI adoption in radiology

• See Dragon Copilot and our radiology solutions, including partner innovations, live at RSNA booth #1311.
• Not attending RSNA 2025? Contact your account executive to schedule a demo.
• For advice on how you can accelerate AI adoption in your organization, explore the 2025 AI in Healthcare Decision Brief.

*Dragon Copilot for radiology is currently in preview for PowerScribe One customers. 

The post Driving a unified AI experience at RSNA 2025: Microsoft Dragon Copilot expands to radiologists, transforming the reporting workflow appeared first on The Microsoft Cloud Blog.

Healthcare leaders face unprecedented challenges: rising labor costs, clinician workforce shortages, and the pressure to deliver safer, faster, and more personalized care. Microsoft’s AI technologies represent a leap forward in how organizations can automate clinical workflows, extract actionable insights from multimodal data, and drive performance. As part of this effort, Microsoft is introducing proprietary healthcare AI models, now available in Microsoft Foundry, and healthcare AI model evaluator, a user-friendly tool available for download on GitHub that allows teams to compare and assess AI model performance.

Fueling innovation with a growing healthcare AI model catalog

In spring 2024, Microsoft introduced healthcare AI models in Foundry—a collection of cutting-edge open source multimodal medical imaging models specifically designed for testing, fine-tuning, and building AI solutions tailored to healthcare-specific tasks. Along with partner offerings, Microsoft introduced three foundation models—MedImageInsight, MedImageParse, and CXRReportGen—with the goal of minimizing the compute and data requirements typically needed to build multimodal models from scratch. A year and a half later, the catalog now features more than 50 first-party and third-party models for a range of modalities, including radiology, pathology, dermatology, protein, and more.

Now, Microsoft is introducing two new proprietary AI models, MedImageInsight Premium and CXRReportGen Premium that set new benchmarks for accuracy and sensitivity in clinical imaging.

MedImageInsight Premium supports imaging applications across X-rays, MRIs, dermatology, and pathology, delivering up to 7–15% higher accuracy and requiring less fine-tuning than its open-source counterpart. It allows for image quality assessment, classification, search, metadata analysis, outlier detection, and supports regulatory workflows such as institutional review board submissions for FDA compliance. CXRReportGen Premium, optimized for chest X-ray report generation, has been further trained with massive amounts of real-world data to help create higher quality reports more similar to those used in clinic.

Organizations across the healthcare ecosystem can use these proprietary models to help address real clinical needs across diverse healthcare environments.

Empowering confident model selection with a purpose-built evaluation tool for healthcare

To help ensure agentic AI delivers meaningful results in healthcare, organizations should select models that have demonstrated effectiveness for their specific tasks. Healthcare AI model evaluator, available now on GitHub, enables teams to test and validate model performance on relevant clinical tasks using their own data and in their own environment. Its intuitive and flexible interface allows organizations to create custom tests and designate human experts or AI models to evaluate the output. Purpose-built for healthcare needs, the evaluator supports evidence-based model selection to help reduce risk and build trust in AI.

Real-world use cases: Impact across diverse healthcare environments

Healthcare agent orchestrator, unveiled at Microsoft Build 2025 and available in the Microsoft Foundry Agent Catalog, features pre-configured agents with multi-agent orchestration and open-source customization options that aid in the creation of agents that coordinate complex workflows. Modular, general reasoners as well as specialized, multimodal AI agents work together to address tasks that could take hours.

Oxford University’s Department of Oncology, in collaboration with Microsoft, has built and deployed three TrustedMDT agents. The agents integrate with Microsoft Teams and summarize patient charts, determine cancer staging, and draft guideline-compliant treatment plans for review by tumor boards. An evaluation and pilot is due to begin at Oxford University Hospitals NHS Foundation Trust in first quarter of 2026. If successful, Oxford hopes to expand into the live clinical pathway following the study’s conclusion, generating vital clinical evidence to support scaling across United Kingdom academic medical centers. Dr. Andrew Soltan MD PhD, National Institute for Health and Care Research (NIHR) Academic Clinical Lecturer and Honorary Specialty Registrar in Medical Oncology at Oxford University Hospitals, shares his story at the Microsoft Ignite breakout session, From Code to Care: Empowering Healthcare with Agentic AI,​ on Thursday, November 20.

These achievements in agent development showcase the opportunity for impact and reach of agentic AI solutions in diverse healthcare environments—especially when task-specific agents are available for purchase and deployment by other healthcare organizations. In September 2025, Microsoft introduced Microsoft Marketplace, a single destination to find, try, buy, and deploy cloud solutions, AI apps, and agents. Organizations can publish, monetize, and distribute their healthcare agents and solutions through the Marketplace, turning their expertise into scalable business opportunities.

The Atropos Evidence Agent, announced in October 2025 by Atropos Health, answers clinical questions within a physician’s workflow—without the physician even needing to ask a question. Whether it’s for pre-visit planning or during the encounter, the Atropos Evidence Agent draws from patient-level data and surfaces real-world evidence for the provider. Using the healthcare agent orchestrator multi-agent framework, the Atropos Evidence Agent synthesizes real-world data and scientific literature to proactively deliver personalized evidence to clinicians and answer complex questions in minutes without leaving the electronic health record (EHR) workflow. Learn more at their session, Ambient Evidence Automation at the Point of Care, in the Industry Showcase in the Microsoft Ignite Hub on Tuesday, November 18.

UiPath Maestro™ orchestrates specialized Foundry and UiPath agents to synthesize historical records with incidental findings from imaging studies. It transforms raw data into actionable insights that can reduce clinician workload, speed care delivery, and drive measurable impact. Hear their story at the Industry Showcase session, From Insight to Impact: How UiPath Agentic Automation and Azure AI Foundry are Redefining Care Processes, on Thursday, November 20.

From tumor boards workflows to personalized evidence with automated follow-up, these deployments underscore the power of AI for helping to enhance diagnostic speed, accuracy, and efficiency, while supporting safer, more informed care decisions.

Take action to lead the future of healthcare

Microsoft for Healthcare AI is more than a technology upgrade, it’s a practical, high-impact solution for healthcare organizations ready to lead in clinical innovation. With AI models, benchmarking tools, and multi-agent frameworks, leaders can automate workflows, improve patient outcomes, and drive safer care at scale.

• Attend the Microsoft Ignite 2025 sessions mentioned above, or join one or all three 75-minute labs at Ignite 2025, and learn hands-on how to work with healthcare AI models, extend Dragon Copilot with partner-built AI solutions, or see multi-agent orchestration in action.
• Visit Foundry today to access the healthcare AI model catalog and healthcare agent orchestrator.
• Download healthcare AI model evaluator from GitHub.

The future of healthcare is agentic, data-driven, and collaborative. Take the next step—evaluate, deploy, and scale Microsoft’s AI solutions and work towards advancing care delivery today.

The post Agentic AI in action: Healthcare innovation at Microsoft Ignite 2025 appeared first on The Microsoft Cloud Blog.

Since its launch in spring 2025, Dragon Copilot has aimed to reduce clinicians’ cognitive burden and save time. Initially built for physicians, it’s evolving to empower a broader range of care team members while fostering a growing ecosystem of partner-driven AI solutions. 

Accelerating point-of-care clinical intelligence through partner-driven AI solutions 

Healthcare leaders today face the dual challenge of fostering innovation while simplifying operations. Dragon Copilot is designed to meet this need with flexibility and scale, helping deliver AI-powered partner applications and agents that integrate seamlessly into end-to-end clinical workflows. Dragon Copilot surfaces these third-party solutions directly within the product experience, expanding reach and engagement. 

Opening Dragon Copilot empowers healthcare organizations and developers to build and deploy purpose-built third-party solutions—examples ranging from automated prior authorization and revenue cycle management to clinical decision support. By enabling partner AI solutions for specific tasks and specialties, clinicians can further streamline workflows, automatically capture relevant patient data, reduce administrative burden, and boost productivity.  

Microsoft is working closely with an early cohort of partners including Artisight, Atropos Health, Canary Speech, Cohere Health, Elsevier ClinicalKey AI, Ensemble, Hellocare, Humata Health, Lightbeam Health Solutions, OpenEvidence, Optum, Pangaea Data, Press Ganey, Regard, Rhyme, Rhythmx AI, and Wolters Kluwer UpToDate. This collaborative approach brings advanced capabilities straight to clinicians, turning innovative ideas into real clinical impact. 

“At Baptist Health, we’re piloting Canary Speech through Dragon Copilot to advance diagnostics in a way that’s ambient, scalable, and seamlessly embedded into existing workflows. This technology democratizes screening—every patient interaction becomes an opportunity for early detection, without requiring the clinician to initiate or even think about the test. It’s a powerful example of how AI can elevate care without adding burden.”

—Brett Oliver, MD, Chief Medical Information Officer, Baptist Health 

Empowering partners with safeguarded AI innovation 

To help our partners accelerate innovation while maintaining the highest standards of safety and compliance, we’re excited to announce the general availability of healthcare agent service in Microsoft Copilot Studio. It provides a robust, compliant foundation for partners to build and deploy AI solutions that integrate into Dragon Copilot. With built-in knowledge sources and clinical safeguards, the service promotes generative AI outputs that are accurate and reliable—supporting informed decision-making at the point of care. By leveraging these capabilities, partners can confidently innovate, extend the value of Dragon Copilot, and deliver purpose-built solutions that streamline workflows. 

For healthcare executives, the benefits are clear: gain real-time access to advanced tools, maximize technology investments, and enable informed clinical decisions through a secure, scalable ecosystem of AI apps and agents. By connecting systems and clinical touchpoints, organizations can boost continuity, efficiency, and documentation quality to support better outcomes.

Empowering nurses with Dragon Copilot 

Nurses are the heartbeat of healthcare—steadfast, compassionate, and deeply committed to their patients. Yet every day, they face mounting pressures: staffing shortages, overwhelming documentation demands, fragmented tools, and constant context switching. The promise of AI in nursing isn’t about adding another screen—it’s about lifting burdens. It’s about meeting nurses where they are, easing the path from observation to documentation, and helping teams stay connected without losing precious time. 

A multi-year collaboration with frontline nurses across leading healthcare organizations has helped shape the experience for nurses in Dragon Copilot with real-world feedback. Their voices have kept us grounded in what truly matters: fewer clicks, better care team collaboration, and more time for the moments that matter most—direct patient care. 

“Considering the complexity of nursing documentation workflows today, we need to be asking if there is a different way to document into the electronic health record. Hospitals ecosystems are complex, and adding Dragon Copilot as an additional tool for nurses to help their daily documentation practices has shown value in both time and efficiency. The tool stands to provide greater value as more users come onboard, and we’ve seen commitment from our partners at Microsoft to continually improve the product, so it works optimally for nurses.”

—Darren Batara, MS, BSN, RN, CPHIMS, Manager of Nursing Innovation and Informatics, Stanford Health Care

Introducing an AI experience tailored to the needs of nurses 

• Ambient flowsheet capture: Dragon Copilot integrates directly into Epic Rover, the mobile app nurses already use at the bedside, freeing them from being tethered to a workstation. As they care for patients, they simply speak aloud—and Dragon Copilot listens, capturing and converting their observations into flowsheet entries. These entries are then transferred to the EHR after nurse review and approval. To support thorough charting, nurses can pause during recording to preview what’s been captured already, and access organization-provided documentation ‘cheat sheets’—all without disrupting their workflow. 
• Access to trusted clinical resources: Nurses can quickly access medical information from organization-approved sources like the US Centers for Disease Control and Prevention (CDC), Food and Drug Administration (FDA), Medline Plus, Merck manuals, and UpToDate, reducing the need to search or toggle between screens. Nurses get answers without disruption—helping them stay focused and feel supported in every moment of care.
• Automate routine tasks: Dragon Copilot transforms nurse-patient conversations into actionable outputs—automating tasks like drafting nurse notes and summarizing a prior interaction, enabling better care team collaboration, and more complete documentation with greater efficiency. By offloading routine tasks to AI, nurses can experience less overtime and mental fatigue—giving them more time and energy for the moments that matter most with their patients. 
• AI customization and user management: For administrators and informatics leads, the Dragon Copilot admin center provides a centralized platform to onboard users, tailor AI outputs to match nursing expectations, and guide informaticists through the journey this solution inevitably sparks—rethinking flowsheet design to better reflect how nurses actually care. 
• Analytics and insights: Analytics are designed to support organizations in driving transformation within their nursing workforce with AI.  

As AI continues to evolve, nurses will gain even greater support for documentation, decision-making, and collaboration. The future of nursing is one where technology fades into the background, and human connections take center stage—where every nurse is empowered to lead with insight, compassion, and confidence. 

Embracing the future of healthcare innovation 

As healthcare continues its rapid transformation, the expansion of Dragon Copilot stands as a testament to the power of AI to drive meaningful change across care teams, organizations, and geographies. By embedding intelligent tools directly into clinical workflows, Dragon Copilot is helping clinicians reclaim valuable time, reduce administrative burdens, and focus on what matters most: delivering exceptional patient care. The collaborative innovation between Microsoft and its partners keeps solutions adaptable, secure, and tailored to the evolving needs of healthcare professionals. With ongoing geographic expansion—now available in the United States, Canada, the United Kingdom, Austria, France, Germany, and Ireland—and a growing ecosystem of AI apps and agents, Dragon Copilot is poised to empower more clinicians worldwide, fostering a future where technology amplifies human connection and clinical excellence. Now is the time to embrace this new era of healthcare innovation—one where every member of the care team is supported, and every patient journey is elevated. 

Ready to take the next steps? 

• Visit us at HLTH booth #3860.
• Not attending HLTH 2025? Schedule a demo.
• Learn more about Dragon Copilot partners.

*General availability for nurses in the United States beginning December 2025. 

The post Extending AI impact at HLTH 2025: Dragon Copilot scales across care teams, partners, and geographies appeared first on The Microsoft Cloud Blog.

AI is rapidly accelerating Japan’s transformation—driving innovation, unlocking new opportunities, and helping organizations reimagine what’s possible. Across industries such as manufacturing, financial services, healthcare, and IT, we’re seeing businesses embed AI into their core operations to improve efficiency, enhance service, and stay competitive. At the same time, government agencies at every level are embracing AI to modernize how they serve citizens and meet the needs of a changing society.

One of the most exciting developments is the rise of AI agents—autonomous systems that can reason, respond, and act with minimal human input. These agents have the potential to play a central role in Japan’s future. Interpreter agents, for example, could help overcome long-standing language barriers, enabling Japanese companies to participate more fully and confidently in the global economy.

At Microsoft, we are proud to support this momentum. Through our growing ecosystem of AI tools, cloud platforms, and strong local partnerships, we are committed to helping Japan lead in this new era. That commitment includes one of our largest-ever investments in the country, focused on expanding cloud infrastructure, advancing cybersecurity, developing talent, and deepening research.

These themes came to life at the recent Microsoft AI Tour in Tokyo, where I had the privilege of joining thousands of business leaders and developers to explore the future of AI. The energy and ambition on display made one thing clear: Japan is not just adopting AI—it is shaping the future with it.

Japan Airlines transforms inflight events reporting with AI-powered app

Japan Airlines (JAL), Japan’s flagship carrier, is developing the JAL-AI, an AI-powered app that streamlines how cabin attendants document inflight events. Previously, reporting events like medical emergencies or delays could take up to an hour and were prone to omissions. Now, using Microsoft’s Phi-4 small language model, attendants can enter keywords and select relevant options, and the AI is designed to generate detailed reports—even offline.

The tool has cut reporting time by up to two-thirds, allowing crew to spend more time with passengers and enhance service quality. JAL’s future objective is to facilitate the automatic generation of reports based on transcribed verbal accounts from cabin attendants.

The app is part of a broader generative AI rollout launched in mid-2023. All 36,500 JAL Group employees now can assess AI tools with JAL-AI on Microsoft Azure OpenAI Service platform for tasks like email drafting, document summarization, and translation. JAL sees generative AI as central to transforming operations and customer service, with people and AI working together to improve performance.

Sumitomo Corporation gains productivity and operational efficiency with Microsoft 365 Copilot

Sumitomo Corporation implemented Microsoft 365 Copilot company-wide as part of a strategic push to boost productivity, empower employees, and drive sustainable business growth. The rollout followed Sumitomo’s participation in the Early Access Program (EAP) in September 2023, where executives and tech savvy employees tested Copilot in practical, day-to-day scenarios and reported high satisfaction, especially from those managing heavy information loads.

Copilot has since been deployed to all 8,800 Sumitomo employees and temporary staff, supported by a robust change management strategy including everything from posters and videos to seminars and prompt templates. In addition, the Copilot Champions appointed within each strategic business unit (SBU) act as on-the-ground advisors to build confidence and drive momentum. Likened to such essential infrastructure as phones and PCs, Sumitomo has encouraged employees to adopt generative AI early and take advantage of being ahead of the curve.

By embedding generative AI directly into the Microsoft 365 tools employees already use daily, the company aimed to eliminate time-consuming, repetitive tasks and unlock greater creativity and efficiency across its workforce. These efforts have already delivered measurable impact, with the company reporting annual cost savings of JPY1.2 billion through improved efficiency and productivity, bringing the company closer to their vision of being “No. 1 in Each Field.”

Turing accelerates autonomous driving with Microsoft Azure

Turing Inc. has leveraged Microsoft Azure to accelerate the training, development, and deployment of advanced AI models, with the goal of achieving fully autonomous driving. By harnessing Azure’s scalable computing power and robust infrastructure, Turing has streamlined complex AI workflows, reduce development time, and push the boundaries of safe, self-driving technology.

Tokyo Metropolitan Board of Education equips student with AI hackathon

The Tokyo Metropolitan Board of Education organized a hackathon for public junior and senior high school students, focused on building digital skills through hands-on experience with Microsoft Copilot and Power Platform. Students used the tools to plan and complete their own projects, applying AI and low-code technology in a practical setting.

Every participating team successfully completed their project, resulting in a 100% completion rate. The outcome underscores the effectiveness of integrating generative AI and accessible development platforms into education, enabling students to move from concept to execution with real-world tools.

Aisin expands accessibility with AI-powered speech transcription tool 

Aisin Corporation, best known for automotive components, has extended its innovation efforts to develop the YYSystem—an AI-powered application that transcribes speech into text in real time for individuals who are deaf or hard-of-hearing. Built on Microsoft Azure’s AI tools, including generative AI and translation services, the system provides highly accurate transcription, summarization, and translation.

Initially created during COVID-19 to help employees document meetings, the tool proved especially valuable for staff who were deaf or hard-of-hearing. It can recognize and transcribe the unique speech patterns often associated with hearing loss—a breakthrough that has given many users a renewed sense of connection and inclusion.

Encouraged by its impact, Aisin expanded the technology for broader public use, deploying it in government offices and retail settings to promote more inclusive communication.

AI for everyone in Japan

The promise of AI in Japan goes far beyond technology—it’s about creating opportunity for every individual, every business, and every community. Whether in classrooms, public institutions, or corporate offices, AI is already reshaping how we work, learn, and serve. And the momentum is only growing.

At Microsoft Japan, we are deeply committed to making this transformation inclusive and far-reaching. That’s why we are investing not only in infrastructure, but in people. The launch of Microsoft Research Asia–Tokyo in late 2024 marks an important step forward—establishing a hub for advanced research in areas like embodied AI, societal AI, and neuroscience, tailored to the needs and aspirations of Japan.

At the Microsoft AI Tour in Tokyo, we also introduced CyberSmart AI, a new initiative to support small and midsize businesses with AI-powered cybersecurity tools—free of charge for eligible organizations. And through AI Skills Navigators, we’ve set an ambitious goal to help 3 million people in Japan build AI fluency by 2027.

These efforts, together with our USD2.9 billion investment in cloud and AI infrastructure, expanded developer workshops, AI seminars for subject matter experts (SMEs), women-in-tech programs, and a new micro degree in partnership with the United Nations University, reflect our long-term partnership with Japan.

Our vision is clear: to ensure that AI in Japan is not just powerful, but empowering—for everyone.

Find the resources to support your AI journey

• Explore Microsoft’s AI solutions.
• Advance your AI transformation with AI business resources.

The post Transforming Japan with AI: 5 companies from the front lines of innovation appeared first on The Microsoft Cloud Blog.

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.

AI Skills Navigator

Explore hand-crafted, interest-based skilling playlists

Get started

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

The post Founderz: Transforming AI education to unlock opportunity appeared first on The Microsoft Cloud Blog.

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.” 

2025 AI Decision Brief

Gain insights from thought leaders at Microsoft to advance AI and drive consistent AI value in your org

Get the full report

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 The Microsoft Cloud Blog.

It’s no secret that India is well-positioned to be a global leader in the AI era, having embraced the power of AI to reshape industries, drive innovation, and unlock new opportunities across the nation. Boasting a vast talent pool, proactive government initiatives, and a thriving startup ecosystem, India is uniquely equipped to leverage AI to solve pressing societal and business challenges and optimize operations across a wide array of civic and business verticals.

A long-standing partner in India’s technological growth, Microsoft has solidified its commitment with a US $3 billion investment to expand AI and Azure cloud infrastructure in the country. This initiative is designed to accelerate AI adoption across industries, empower businesses to integrate AI into critical processes, and nurture local talent to meet the evolving demands of the tech ecosystem. These efforts underscore Microsoft’s confidence in India’s position as a global leader in AI innovation and technological advancement.

AI business resources

Help your organization achieve its transformation goals

Get the resources

Local ingenuity was on full display during the Microsoft AI Tour stop in Bengaluru and New Delhi, where organizations showcased how they are leveraging AI to tackle complex challenges, streamline workflows, and drive transformative efficiencies across industries.

MakeMyTrip powers the future of travel with AI

MakeMyTrip (MMT), India’s leading online travel company, is at the forefront of enhancing the travel shopping experience with generative AI. Over its 24-year journey, MMT has served more than 77 million users, offering comprehensive travel booking services. A standout feature powered by generative AI is Myra, their conversational bot. MMT is integrating an AI-powered workflow within Myra to assist users seamlessly at every stage of their travel journey—from pre-trip planning to in-trip support and post-trip follow-up. Built using large language models (LLMs) and orchestrated via Microsoft Azure AI Foundry, these services ensure smooth assistance throughout the travel process. As one of the early adopters of generative AI in travel tech, MMT is leading the next generation of travel experiences.

Persistent Systems improves contract management with AI-powered agent

Persistent Systems, one of the world’s fastest-growing digital engineering and enterprise modernization service providers, faced recurring challenges surrounding their contract management: inefficient workflows and lengthy negotiation cycles were causing bottlenecks in an otherwise agile organization. Persistent turned to the power of generative AI and Microsoft’s technology stack to reimagine their approach to contract management, developing ContractAssIst, an AI-powered agent built using generative AI and Microsoft 365 Copilot, to transform collaboration and streamline internal contract negotiations. Built to help ensure security and access controls, the tool helps to enhance collaboration, streamline workflows, and accelerate decision-making. 

As a result, ContractAssIst has reduced emails during negotiations by 95% and cut navigation and negotiation time by 70%, a task that currently takes approximately 20 to 25 minutes. Persistent has deployed Microsoft 365 Copilot to nearly 2,000 users and plans to extend it to a broader audience.

LTIMindtree unlocks data management with Microsoft 365 Copilot

LTIMindtree, a global technology consulting and digital solutions company with more than 84,000 employees in more than 30 countries, is leveraging AI in innovative ways to drive digital transformation and enhance business and IT operations. They have demonstrated how Microsoft 365 Copilot technology and AI agents are transforming their critical business functions, such as pre-sales, resource management, and cyber security. For example, custom built AI agents assist the resource management teams to quickly find the right employees with relevant skills and match them to specific projects; and help pre-sales and account managers create high-quality responses using historical data to incoming requests for proposals (RFPs) and requests for information (RFIs). They are also using Microsoft Security Copilot to create a unified command center for investigations, threat intelligence, and incident response, empowering them to build a next-gen Security Operations Center (SOC). As a result, LTIMindtree has seen a 30% increase in overall employee efficiency, with 20% less time spent on emails and day-to-day task allocation.

Streamlining health claims with ICICI Lombard’s AI-powered solution

ICICI Lombard, a leading private insurer in India, has developed an innovative solution to streamline health claims processing. Traditionally, claim adjudicators manually filed claims, a time-consuming process involving the review of 20 pages of documents. Leveraging Microsoft Azure OpenAI Service, Azure AI Document Intelligence, and Azure AI Vision OCR service, ICICI Lombard’s new solution extracts relevant information from these documents, providing adjudicators with a consolidated view of the diagnosis and treatment. This innovation has reduced the time required to process claims by more than 50%.

eSanjeevani transforms healthcare access with innovative AI solutions

eSanjeevani, India’s National Telemedicine Service by the Ministry of Health and Family Welfare, has integrated AI-enabled tools to enhance care quality and streamline teleconsultations, promoting equitable access to healthcare across the country. Powered by Azure, it offers secure, scalable, and accessible doctor-to-doctor and doctor-to-patient teleconsultations. eSanjeevani is advancing its AI journey with Microsoft AI, enhancing productivity, data analysis, and user experience. These innovations are helping eSanjeevani set new benchmarks in telemedicine and digital healthcare services. It is also developing a proof of concept with Microsoft Copilot to transcribe doctor-patient conversations in real time for advanced speech analytics, aiding data-driven decisions. Serving more than 330 million patients, 98% from rural areas, eSanjeevani is today the world’s largest telemedicine initiative in primary healthcare.

AI for everyone in India

India’s AI journey is not just about innovation, it’s about transformation across industries and lives. From travel to healthcare, banking to engineering, the case studies showcased here demonstrate the immense potential of AI when paired with the right tools, partnerships, and vision. Microsoft’s investments and technologies have enabled organizations in India to tackle challenges, streamline processes, and unlock new levels of efficiency and growth. As India continues to lead in the global AI revolution, these examples serve as a testament to how AI can create meaningful impact, fostering a future where innovation drives progress for everyone.

Find the resources to support your AI journey

• Explore Microsoft’s AI solutions 
• Advance your AI transformation with AI business resources

The post Unleashing the power of AI in India appeared first on The Microsoft Cloud Blog.