New Microsoft Certified: Azure Databricks Data Engineer Associate Certification
As a data engineer, you understand that AI performance depends directly on the quality of its data. If the data isn’t clean, well-managed, and accessible at scale, even the most sophisticated AI models won’t perform as expected. Introducing the Microsoft Certified: Azure Databricks Data Engineer Associate Certification, designed to prove that you have the skills required to build and operate reliable data systems by using Azure Databricks. To earn the Certification, you need to pass Exam DP-750: Implementing Data Engineering Solutions Using Azure Databricks, currently in beta. Is this Certification right for you? This Certification offers you the opportunity to prove your skills and validate your expertise in the following areas: Core technical skills Ingesting, transforming, and modeling data using SQL and Python Building production data pipelines on Azure Databricks Implementing software development lifecycle (SDLC) practices with Git-based workflows Integrating Azure Databricks with key Microsoft services, such as Azure Storage, Azure Data Factory, Azure Monitor, Azure Key Vault, and Microsoft Entra ID Governance and security Securing and governing data with Unity Catalog and Microsoft Purview Applying workspace, cluster, and data-level security best practices Performance and reliability Optimizing compute, caching, partitioning, and Delta Lake design patterns Troubleshooting and resolving issues with jobs and pipelines Managing workloads across development, staging, and production For engineers already familiar with Azure Databricks, this Certification bridges the gap between general Azure Databricks skills and the Azure‑specific architecture, security, and operational patterns that employers increasingly expect. Ready to prove your skills? The first 300 candidates can save 80% Take advantage of the discounted beta exam offer. The first 300 people who take Exam DP-750 (beta) on or before April 2, 2026, can get 80% off. To receive the discount, when you register for the exam and are prompted for payment, use code DP750Deltona. This is not a private access code. The seats are offered on a first-come, first-served basis. As noted, you must take the exam on or before April 2, 2026. Please note that this discount is not available in Turkey, Pakistan, India, or China. How to prepare Get ready to take Exam DP-750 (beta): Review the Exam DP-750 (beta) exam page for details. The Exam DP-750 study guide explores key topics covered in the exam. Work through the Plan on Microsoft Learn: Get Exam‑Ready for DP‑750: Azure Databricks Data Engineer Associate Certification. Need other preparation ideas? Check out Just How Does One Prepare for Beta Exams? You can take Certification exams online, from your home or office. Learn what to expect in Online proctored exams: What to expect and how to prepare. Interested in unlocking more Azure Databricks expertise? Grow your skills and take the next step by exploring Databricks credentials and show what you can do with Azure Databricks. Ready to get started? Remember, only the first 300 candidates can get 80% Exam DP-750 (beta) with code DP750Deltona on or before April 2, 2026. Beta exam rescoring begins when the exam goes live, with final results released approximately 10 days later. For more details, read Creating high-quality exams: The path from beta to live. Stay tuned for general availability of this Certification in early May 2026. Get involved: Help shape future Microsoft Credentials Join our Microsoft Worldwide Learning SME Group for Credentials on LinkedIn for beta exam alerts and opportunities to help shape future Microsoft learning and assessments. Additional information For more cloud and AI Certification updates, read our recent blog post, The AI job boom is here. Are you ready to showcase your skills? Explore Microsoft Credentials on AI Skills Navigator.New Microsoft Certified: SQL AI Developer Associate Certification
AI is transforming how data-driven applications are built, and SQL professionals are at the center of this new era. Whether you're a database developer, administrator, analyst, or architect, your SQL expertise is more critical than ever. With the rise of AI, quality data and secure, optimized queries are foundational to building intelligent, scalable solutions. We’re introducing the Microsoft Certified: SQL AI Developer Associate Certification to help you validate your ability to integrate AI capabilities directly into SQL-based solutions without needing to move your data, learn entirely new platforms, or move away from the T-SQL skills you already use every day. To earn this new Certification, you need to pass Exam DP‑800: Developing AI‑Enabled Database Solutions, currently in beta. Is this the right Certification for you? The Microsoft Certified: SQL AI Developer Associate Certification is designed for SQL professionals who build and maintain SQL-based applications and who want to integrate AI capabilities directly into their data solutions. As you collaborate closely with application developers, database administrators, architects, AI engineers, and DevSecOps teams, skills validated by this certification support the delivery of scalable, secure, and high-performance AI‑enabled applications. This Certification demonstrates your ability to: Design and build database solutions using structured and semi-structured data. Use AI-assisted tools to accelerate SQL development and database management. Secure, optimize, and deploy enterprise-grade SQL solutions. Implement vectors, embeddings, and retrieval-augmented generation (RAG) patterns within SQL database architectures. As a candidate for this Certification, you should have experience writing T-SQL, developing databases on Microsoft SQL platforms, and working with continuous integration and continuous deployment (CI/CD) workflows in GitHub. We also recommend familiarity with AI concepts, such as embeddings, vectors, and models, in addition to AI-assisted development tools. Skills measured by the exam include: Applying advanced T-SQL techniques for AI-ready database solutions. Building vector and semantic search experiences directly in SQL. Implementing RAG workflows to ground large language model (LLM) outputs and reduce hallucinations. Integrating LLMs into SQL-based applications without migrating data. Designing secure, compliant, and scalable AI-enabled data solutions. Exposing SQL data through APIs by using Data API builder. Building and monitoring data APIs by using Data API builder and event-driven change patterns. These capabilities power use cases like semantic and hybrid search, chatbots, personalized recommendations, fraud detection, and predictive analytics. Ready to prove your skills? The first 300 candidates can save 80% Take advantage of the discounted beta exam offer. The first 300 people who take Exam DP-800 (beta) on or before April 3, 2026, can get 80% off. To receive the discount, when you register for the exam and are prompted for payment, use code DP800Belzoni. This is not a private access code. The seats are offered on a first-come, first-served basis. As noted, you must take the exam on or before April 3, 2026. Please note that this discount is not available in Turkey, Pakistan, India, or China. How to prepare Get ready to take Exam DP-800 (beta): Review the Exam DP-800 (beta) exam page for details. The Exam DP-800 study guide explores key topics covered in the exam. Work through the self-paced skilling Plan on Microsoft Learn: Become a SQL AI Developer: Prepare for Certification Exam DP-800. Connect with Microsoft Training Services Partners in your area for in-person offerings. Need other preparation ideas? Check out Just How Does One Prepare for Beta Exams? Ready to get started? Remember, the number of spots is limited to the first 300 candidates taking Exam DP-800 (beta) on or before April 3, 2026. Beta exam rescoring begins when the exam goes live, with final results released approximately 10 days later. For more details, read Creating high-quality exams: The path from beta to live. Stay tuned for general availability of this Certification in May 2026. Additional information You can take Certification exams online, from your home or office. Learn what to expect in Online proctored exams: What to expect and how to prepare. For more cloud and AI Certification updates, read our recent blog post, The AI job boom is here. Are you ready to showcase your skills? Get involved: Help shape future Microsoft Credentials. Join our Microsoft Worldwide Learning SME Group for Credentials on LinkedIn for beta exam alerts and opportunities to help shape future Microsoft learning and assessments. Explore Microsoft Credentials on AI Skills Navigator.Partner Blog | From Microsoft Build to AI implementation: Build the skills to lead Frontier Transformation
Microsoft Build showcased the next phase of AI transformation. Across AI platforms, agents, and secure development, one message came through: customers are moving from AI exploration to implementation. For partners, that shift creates a practical opportunity. Customers are looking for guidance on ways to design, deploy, manage, secure, and scale AI-powered solutions that create measurable business value. That takes skilled teams, repeatable delivery capabilities, and a clear path from learning to implementation. This month’s skilling updates focus on turning Build momentum into action. New Frontier Transformation Engineering resources, on-demand Frontier Transformation Summit content, upcoming certification preparation, Microskilling, and go-to-market assets give partners multiple ways to strengthen AI implementation capabilities and show customers they are ready to lead. Build Frontier Transformation Engineering capability Frontier Transformation describes the shift from AI pilots to embedded, governed operating models. It requires technical depth across agents, Copilot, Microsoft Foundry, Microsoft IQ, security, governance, and business process transformation. The Frontier Transformation Engineer Badge is designed for technical professionals building this capability. It validates the skills needed to design and deliver AI agents across Copilot Studio, Microsoft Foundry, and the broader Frontier stack. For partners, the badge signals readiness to move from AI vision to execution. To support that journey, all of the Frontier Transformation Engineer Summit sessions are now available on demand, giving your teams a chance to revisit key content or catch up on sessions they missed. Use the recordings to continue progressing toward badge attainment and prepare your teams for the AI implementation work customers are prioritizing now. Continue reading here
Getting Started with AI and MS Copilot - English
🚀 Ready to explore AI and Microsoft Copilot in a fun, hands-on way? Join our session: “Introduction to AI and Microsoft Copilot”—designed for educators who are just getting started! ✅ Learn the fundamentals of generative AI ✅ Master the art of creating effective prompts ✅ Discover practical ways to use these tools in your classroom ✅ Access ready-to-use teaching resources ✅ Practice with 10 interactive exercises 📅 Don’t miss this opportunity to boost your teaching with AI! #MicrosoftCopilot #Educators #Innovation #TeachingTools Getting Started with AI and MS Copilot - English | Meeting-Join | Microsoft TeamsFrontier Transformation campaign in a box now available in Partner Marketing Center
AI transformation is moving beyond isolated experimentation to organization-wide initiatives and customers are looking for partners who can help them scale. Organizations scaling AI are seeing measurable gains across productivity, efficiency, and customer engagement. To support this shift, the Frontier Transformation campaign in a box provides a ready-to-launch, co-branded marketing campaign aligned to Microsoft AI solutions. This campaign is aligned with the Frontier Success framework and engages customers as they advance in their AI maturity, with messaging that connects AI capabilities to real business context while reinforcing trust, governance, and security. Available in Partner Marketing Center Pro, the Frontier Transformation campaign in a box empowers you to go market faster, support lead generation, and build pipeline. Partner Marketing Center Pro is available to partners who have purchased a partner benefits package, attained a Solutions Partner designation or are enrolled in ISV Success. Explore Frontier Transformation campaign in a box.📣 Getting Started with AI and MS Copilot — Português
Olá, 👋 📢 Quer explorar IA e Microsoft Copilot de forma prática para o aprendizado? Participe da sessão “Introdução à IA com o uso do MS Copilot”, pensada especialmente para docentes que estão começando a usar o Copilot. Vamos aprender os fundamentos da IA generativa, como criar boas instruções e aplicar essas ferramentas na sala de aula. 📌 Sessão com exemplos práticos, materiais para utilizar e um espaço ideal para praticar e tirar dúvidas. No horário indicado, favor realizar acesso ao link.📣 MSLE Onboarding Session — Português
Olá, 👋 Espero que estejam bem! ✨Participe da sessão de introdução ao programa MSLE para Educadores! Nesta sessão: ✅ Vamos explorar os benefícios e o alcance do programa ✅ Conhecer em detalhe os dois portais principais aos quais você terá acesso ✅ Esclarecer todas as suas dúvidas em um ambiente colaborativo Este é o seu primeiro passo rumo a uma experiência enriquecedora, onde conhecimento, inovação e comunidade se unem para impulsionar você ao próximo nível. No horário indicado, favor realizar acesso ao link.Dragon Copilot and Microsoft Marketplace are transforming the way healthcare is delivered
If AI has so much promise in healthcare, why does it still feel so hard to apply in everyday workflows? That question is starting to shape much of the conversation across the industry. Healthcare teams aren’t debating whether AI matters anymore, they’re focused on how to make it work in environments that are already stretched thin. Reality: Healthcare has a capacity problem Healthcare isn’t dealing with a demand problem; it’s dealing with a capacity constraint. In fact, 79% of healthcare workers say they don’t have enough time or energy to do their work, 51% of healthcare leaders say productivity needs to increase, and 79% are confident AI will play a role in expanding organizational capacity. That pressure shows up everywhere: in documentation backlogs, fragmented and click-heavy workflows, administrative overload, and ultimately less time spent with patients. This is where the conversation around AI is shifting; not toward adding more tools but toward removing friction from the workflows that already exist and helping care teams move faster with less overhead inside the flow of care. That reality came through clearly during a recent Microsoft Marketplace Customer Office Hour on Dragon Copilot and Microsoft Marketplace: how to operationalize AI within real-world clinical workflows and enterprise healthcare environments that are experiencing a capacity problem. Instead of focusing on future-state possibilities, the conversation centered on what it takes to move from promise to practice, and where AI can start delivering value today. That distinction matters because developers, healthcare architects, and AI engineers are no longer asking whether AI can create value. The industry has largely accepted that it will play a meaningful role across healthcare. The real challenge is how to integrate into environments already burdened by operational complexity, fragmented workflows, regulatory pressures, and disconnected technologies. In practice, most healthcare organizations aren’t lacking data or systems, they’re struggling with how those systems work together. Clinicians and administrative teams operate across EHRs, reimbursement platforms, documentation tools, referral systems, messaging apps, and care coordination workflows that often function in isolation. Each additional screen, handoff, or disconnected experience introduces friction, and over time that friction compounds into inefficiencies that impact clinicians, administrators, and ultimately patients. This is why AI cannot simply sit on top of existing systems as another productivity layer; it needs to act as an orchestration layer that reduces complexity directly within the flow of care. That shift fundamentally changes how we think about healthcare AI, moving from isolated features to embedded intelligence that supports the workflows where care teams already spend their time. Dragon Copilot as a clinical workflow platform Dragon Copilot is not positioned as just another ambient listening tool or conversational assistant. It's designed as a clinical workflow platform that integrates into how care is delivered. While voice capabilities like ambient listening and natural language interaction are foundational, the real value comes from combining contextual intelligence, workflow automation, and extensibility. In practice, that means clinicians can access relevant information directly within their workflow, reduce fragmentation across systems, and act using natural language without constantly switching between tools. Extending healthcare AI through Microsoft Marketplace What makes this even more compelling is how Dragon Copilot extends through AI apps and agents connected via Microsoft Marketplace. This shifts the conversation from a single AI solution to a broader ecosystem approach. Instead of relying on monolithic systems to solve every problem, healthcare organizations can layer specialized AI capabilities directly into their workflows. During the session, we walked through examples like coding and charge capture, denial prevention, eligibility verification, medication safety checks, and patient education each addressing a specific operational need without requiring organizations to replace core systems. From a technical perspective, what stands out is not just automation, but the ability to reduce workflow re-entry and repetitive administrative loops. Today, many processes require clinicians and administrators to document, submit, reprocess, and reconcile information across disconnected systems. By embedding AI into those workflows, whether for coding validation, reimbursement support, or clinical guidance, organizations can streamline those cycles, improve continuity between systems, and reduce the compounding operational burden that slows teams down. What does this mean for healthcare developers For developers building healthcare solutions, this shift opens meaningful opportunities across workflow orchestration, AI-assisted compliance, operational intelligence, policy validation, and real-time financial support. More importantly, it reflects a broader architectural change in how healthcare technology is evolving. Rather than attempting to replace existing systems, the industry is moving toward connected AI services that extend and augment what’s already in place. This approach matters because healthcare organizations rarely overhaul core infrastructure all at once. Instead, they evolve incrementally by layering new capabilities into existing workflows. Dragon Copilot, combined with Microsoft Marketplace, is designed to support that model. AI agents can surface insights, automate repetitive tasks, and support decision-making while staying embedded within established clinical environments, helping developers build solutions that are practical, scalable, and aligned with how healthcare systems actually operate today. The strategic value of ecosystem extensibility As the importance of ecosystem extensibility continues to grow, Microsoft is intentionally building beyond a standalone healthcare AI solution. Instead, the focus is on creating an ecosystem that enables connected intelligence across clinical and operational workflows. For developers, this shift has real implications. It directly impacts how quickly solutions can be built, how easily they can be deployed, and how far innovation can scale. Without extensibility, progress is constrained by the roadmap of a single platform. With it, developers and healthcare technology providers can target highly specific workflow gaps with purpose-built solutions. That opens the door to a new class of innovations from AI agents and workflow accelerators to embedded clinical decision support and healthcare-specific automation designed to fit seamlessly into existing environments and address the nuanced needs of modern care delivery. Reducing adoption friction in enterprise healthcare The Marketplace component of this strategy directly addresses some of the most persistent barriers to adoption in enterprise healthcare. Organizations can simplify procurement, reduce vendor onboarding friction, streamline licensing, and consolidate billing through Microsoft’s existing purchasing infrastructure. From a developer and software company perspective, this is significant because historically the challenge in healthcare hasn’t been building new capabilities but getting them adopted and scaled in complex environments. By reducing the effort required to evaluate, purchase, deploy, and operationalize AI solutions, Marketplace changes the pace at which organizations can move from experimentation to real-world implementation. That efficiency becomes critical as healthcare shifts from isolated pilots to production-scale deployments, where speed, integration, and operational alignment ultimately determine whether AI delivers meaningful impact. From AI experimentation to production-ready workflows Healthcare AI is no longer confined to pilots or conceptual experimentation. Organizations are now evaluating production-ready solutions that can integrate directly into enterprise workflows. That shift brings a different set of expectations for developers and architects. Instead of asking whether AI can generate useful outputs, the focus has moved to operational questions: Can these systems integrate seamlessly into clinician workflows? Will they reduce complexity without introducing disruption? Can they scale reliably, perform consistently, and meet regulatory requirements? These are not just AI challenges, they’re deeply rooted in systems integration, workflow design, operational engineering, and enterprise architecture. Success depends not only on model performance, but on how well AI fits into the realities of healthcare delivery, supports care teams in context, and operates within the constraints of highly regulated, mission-critical environments. Designing for operational value, not just model innovation This is exactly why the conversation matters for the healthcare developer community right now. Future success in healthcare AI will depend less on model novelty and more on how well those models integrate into real workflows. Most healthcare organizations are already navigating fragmented environments filled with disconnected systems, and the solutions that deliver lasting value will be the ones that reduce cognitive load, minimize context switching, surface information at the right moment, and integrate naturally into day-to-day clinical work. In that sense, the challenge becomes less about AI in isolation and more about systems design. Meaningful progress won’t come from standalone copilots operating outside enterprise infrastructure. It will come from connected ecosystems where AI services, workflow accelerators, and operational tools work together seamlessly. That’s how intelligent healthcare workflows take shape: not as a single application, but as a coordinated system designed around how care is actually delivered. Why this direction matters for the developer ecosystem Dragon Copilot is emerging not just as a healthcare AI experience, but as a platform that brings together workflow intelligence and ecosystem extensibility. By connecting directly into operational healthcare workflows and enabling integration through Microsoft Marketplace, it creates new opportunities for healthcare developers, enterprise architects, and workflow automation providers to build solutions that are both targeted and scalable. While the ecosystem is still evolving, the strategic direction is becoming increasingly clear: AI agents and connected applications are moving closer to the workflow layer itself. In healthcare, that proximity matters. The solutions that integrate most naturally into day-to-day operations, rather than existing alongside them, are the ones most likely to drive meaningful adoption and long-term impact. Watch the full session For organizations building healthcare software, enterprise AI systems, workflow automation platforms, or operational healthcare technologies, the Microsoft Marketplace Customer Office Hour session provides valuable insight into how Microsoft is approaching healthcare AI at ecosystem scale. 👉 Learn more and watch the full session here: Healthcare innovation with Dragon Copilot and Microsoft Marketplace Additional Resources You can learn more through Microsoft Marketplace, the Marketplace Customer Office Hours series, the Microsoft Marketplace Community, and the Dragon Copilot apps and agents resources.Ability Summit 2026: Accessibility-first innovation and your next partner opportunity
Accessibility is increasingly both a business imperative and a meaningful commercial opportunity for partners. At this year’s Microsoft Ability Summit, leaders across technology, education, and advocacy reinforced a clear point: accessibility-first innovation is creating new demand across AI, collaboration, learning, and customer experience. For partners, accessibility represents a clear opportunity to grow customer value. Accessibility-first innovation is becoming a mainstream expectation, opening opportunities to build differentiated services and solutions across AI, collaboration, learning, compliance, and customer experience. Organizations are increasingly viewing accessibility as part of a broader shift in how they approach AI, employee experience, and customer engagement. For partners, that shift creates an opportunity to lead higher-value conversations around innovation, trust, and long-term business impact. I encourage you to read Microsoft Chief Accessibility Officer Neil Barnett’s full recap of this year’s announcements and stories from the summit, including updates across AI, developer tools, Windows, devices, learning, Xbox, and inclusive packaging design. Why accessiblity matters for partners now Accessibility is becoming part of how customers evaluate experience quality, employee productivity, compliance expectations, and technology trust. Organizations are looking for technology that works consistently across real-world scenarios, roles, abilities, and environments. That expectation is accelerating as AI adoption grows. Accessibility is increasingly becoming part of how customers evaluate transformation readiness, technology trust, and the quality of the experiences they deliver across their organizations. A 2026 Forrester Consulting study commissioned by Microsoft found that assistive technology is already part of everyday work and life. Consumers reported using assistive features across at least six activities in the past month, on average. The same study found that 63% of respondents reported some level of difficulty with daily tasks related to vision, hearing, learning and cognition, mobility, and/or mental health. It also found that 71% of respondents would use assistive tools more often if enhanced with AI capabilities, and 55% said they feel a stronger commitment to employers when companies prioritize assistive tools and features. For partners, this points to a broader opportunity. Accessibility-first design can expand participation, strengthen employee and customer experiences, and build greater trust in technology, making it an increasingly important part of long-term transformation strategy. Where partners can lead The opportunity for partners is to bring accessibility into the conversations that are already shaping customer priorities, including AI transformation and adoption, modern work, application innovation, employee experience, customer engagement, and compliance. As accessibility becomes more central to business and technology strategy, partners can differentiate by making it part of the broader value they bring to customers. Partners that bring accessibility-first innovation into these conversations can deepen trust, expand strategic relevance, and create more differentiated value over time. This opportunity spans organizations of every size. Across both SMB and enterprise customers, accessibility is increasingly part of how leaders think about growth, workforce experience, customer connection, and technology modernization, and the Microsoft partner ecosystem is well positioned to meet that need. Partner opportunities in Microsoft Marketplace Microsoft Marketplace offers a useful view into how partners are translating accessibility-first innovation into practical customer value. The examples below illustrate how that opportunity is taking shape across different business and technology scenarios. Level Access makes digital accessibility a streamlined, scalable part of everyday operations The Level Access platform supports a continuous approach to accessibility, embedded into design, development, governance, and training workflows. Unlike point tools or episodic audits, this integrated solution helps organizations accelerate remediation, reduce risk, and demonstrate progress over time. Organizations can extend the power of the Level Access platform through private offers with capabilities such as LevelDocs for accessible content creation and remediation in Microsoft Word, Excel, and PowerPoint; LevelCI for automated web accessibility testing within CI/CD pipelines; and Mobile Testing for native iOS and Android accessibility across physical and virtual devices. Retain Connector by Inclusively Many organizations have invested heavily in benefits, workplace accommodations, mental health resources, and employee support programs. But employees, especially those navigating disabilities or workplace barriers, often don't know what is available or how to access it. Retain Connector by Inclusively closes that gap directly inside the tools employees already use. Deployed within Microsoft Teams, SharePoint, Outlook, and Microsoft 365 with no heavy integrations required, Retain acts as a workforce intelligence layer that lets employees describe their needs in plain language and get routed to the right benefits and resources through Inclusively's Success Enabler framework without needing to know what to search for or where to look. For employees who may feel hesitant to disclose a need or navigate a fragmented benefits landscape, the anonymous, conversational experience lowers the barrier to getting support. For HR and people leaders, Retain surfaces something equally valuable: real-time, aggregated insights into the benefits and barriers employees are actually experiencing. That intelligence helps organizations understand unmet demand, allocate benefits investments more effectively, and demonstrate a genuine commitment to inclusion not just in policy, but in practice. Creating differentiated value through accessibility offerings Taken together, these examples reinforce a broader point: accessibility is becoming an increasingly important part of how partners create differentiated value across both employee and customer experiences. Marketplace solutions can strengthen how partners bring accessibility-first innovation into customer conversations and platform experiences. The Microsoft Accessibility Partner Onboarding Guide also provides a useful foundation for partners looking to expand their accessibility focus on Microsoft platforms. The opportunity ahead for partners Accessibility is becoming an increasingly important part of the conversations customers are having around AI, modern work, security, application development, and industry transformation. The opportunity is not to treat accessibility as a separate conversation. It is to make accessibility part of how customers modernize, adopt AI, and build more trusted digital experiences. Ability Summit 2026 reinforced that accessibility-first innovation is shaping the future of AI, productivity, learning, collaboration, and end-customer experience. For partners, the opportunity is to turn that innovation into real customer impact. It is about building AI-powered experiences that are more trusted, more inclusive, and more effective for the people they serve. As Frontier Transformation accelerates AI adoption, partners are uniquely positioned to turn accessibility-first innovation into lasting business impact deepening customer relationships, expanding strategic relevance, and building stronger momentum as accessibility-first expectations continue to rise for our customers. Additional resources Read the Ability Summit 2026 blog by Neil Barnett, Chief Accessibility Officer at Microsoft. Explore the Forrester Consulting thought leadership paper commissioned by Microsoft, May 2026. Visit the Unique Unites Us accessibility hub. Watch for Ability Summit sessions to be available on demand in the coming weeks.
