Generative AI | News, how-tos, features, reviews, and videos
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
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.
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.
The explosive growth of generative AI drives the multicloud model. But be prepared because it’s going to cost more money.
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.
Many enterprises are dusting off the private cloud strategies that lost out to the allure of the public cloud. Is this the right move?
AI can’t replace bad developers because it only works for good developers. Recognizing when code from an LLM will fail requires skill and experience.
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