Beyond Davos 2026: 5 practices to align AI transformation and sustainability
At Davos 2026, leaders are aligning AI transformation with sustainability—outlined in the Strategic Guide: Aligning AI Transformation with Sustainability Goals.
AI
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Microsoft Source
How AI helps neurodivergent professionals showcase their strengths
Explore how a number of business professionals with neurodivergent traits—including autism and attention-deficit/hyperactivity disorder (ADHD)—are finding greater confidence and efficiency through AI. -
Security
Cybersecurity Awareness Month: Security starts with you
Make the most out of Cybersecurity Awareness Month with resources from Microsoft. -
Choosing the right AI path for your business: A practical guide for business leaders
With clear priorities and low-code tools, teams are turning plans into progress—solving real problems with assistants, agents, and custom solutions. -
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. -
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.