Microsoft On The Issues
Our 2025 Responsible AI Transparency Report: How we build, support our customers, and grow
In May 2024, we released our inaugural Responsible AI Transparency Report.
AI resources
Help your organization achieve its goals with expert insights and guidance on AI.
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Empower your teams to grow their AI skills and boost adoption
Explore how Microsoft has developed a series of best practices and resources that now guide our employee AI skill-building initiatives. -
Microsoft as customer zero: Empowering research teams with AI
Microsoft Research continues to collaborate with the global research community to drive breakthroughs in AI and push boundaries of what’s possible to extend human capability, create value, and deliver broad societal benefit. -
Industry
The AI-powered future of health: Insights from Microsoft leaders
Microsoft is committed to sharing our insights with stakeholders in healthcare and life sciences. -
Empowering multi-agent apps with the open Agent2Agent (A2A) protocol
We’re announcing support for Agent2Agent (A2A) interoperability in Azure AI Foundry and Microsoft Copilot Studio. -
Founderz: Transforming AI education to unlock opportunity
Microsoft is eager to spotlight innovative organizations like Founderz, a groundbreaking online learning platform that has gone from a bold idea to a leader in AI skilling. -
4 real business benefits of Microsoft AI
At Microsoft, we’re working with thousands of customers across industries and around the world to help them realize the value of AI. -
Maximizing AI’s potential: Insights from Microsoft leaders on how to get the most from generative AI
Get an overview of the 2025 AI Decision Brief, a Microsoft report on how generative AI is impacting businesses and how to maximize AI at your organization. -
5 key features and benefits of retrieval augmented generation (RAG)
Let’s briefly uncover the future of AI-powered language understanding and generation through the lens of retrieval augmented generation. -
Common retrieval augmented generation (RAG) techniques explained
Organizations use retrieval augmented generation (or RAG) to incorporate current, domain-specific data into language model-based applications without extensive fine-tuning. -
Accelerate employee AI skilling: Insights from Microsoft
Microsoft is sharing 10 best practices to accelerate your organization’s AI skills. -
Azure
Introducing Leading the Shift, a new Microsoft Azure podcast
We’ve asked customers, partners, Microsoft experts, and other leaders to share their journeys and insights in our new podcast, Leading the Shift.