Artificial Intelligence | News, analysis, features, how-tos, and videos
At Build, Microsoft described how Azure is supporting large AI workloads today, with an inference accelerator, high-bandwidth connections, and tools for efficiency and reliability.
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
Microsoft delivers a one-stop shop for big data applications with its latest updates to its data platform.
AI agents offer flexibility and autonomy as they plan and complete complex tasks that traditionally require human involvement.
Major update to Copilot Studio gives us something much closer to an AI layer for the Power Platform, linking modern AI tools to process automation.
The explosive growth of generative AI drives the multicloud model. But be prepared because it’s going to cost more money.
Overspending on AI infrastructure by cloud providers has some forecasting an AI bust, but there are signs that enterprises are starting to put AI to work.
Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future.
The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
The problems can be hard to find but easy to solve. With a proactive approach and best practices, you can avoid unhappy users and a damaged business reputation.
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