Generative AI | News, how-tos, features, reviews, and videos
As enterprises struggle to balance AI capabilities against data privacy concerns, federated learning provides the best of both worlds.
The future of work requires data teams to lead with data governance, ops, and products that make data reliable and discoverable for business users and use cases.
As cloud computing providers hit the innovation wall, enterprises need to adjust their strategies to concentrate on the tricky problems of their own businesses.
Microsoft Azure’s new AI toolkit makes it easy to customize OpenAI large language models for your applications.
Microsoft Azure CTO Mark Russinovich’s annual presentation on Azure hardware revealed a lot about the future of Microsoft’s cloud.
Their current success and growth are thanks to AI adoption, but unsustainable costs and viable alternatives may turn enterprises away in the longer term.
Microsoft’s new generative AI-powered, multimodal, content analysis service is a next-generation version of its existing Cognitive Services platform.
AI agents are already reengineering software development, business processes, and customer experiences. Here's what you need to know.
Cloud AI providers brag that their generative AI and large language models are open, and enterprises are falling for it.
Microsoft uses Ignite 2024 to set out its vision for agentic AI in business.
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