Accelerate employee AI skilling: Insights from Microsoft
Microsoft is sharing 10 best practices to accelerate your organization’s AI skills.
AI resources
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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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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.