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The mantra for computing is to use other people’s technology, so it's surprising that generative AI doesn’t seem to follow that pattern for many enterprises.
A new study shows that AI won’t work without a lot more talent in the employment market. Enterprises will need to be innovative to win this one.
As the big vendors overstate the capabilities of their generative AI projects, maybe it’s time to use open source to keep them honest.
Microsoft Copilot soon will be able to generate responses using the OpenAI GPT-4 Turbo model, which will enable users to tackle more complex and longer-running tasks.
Reminiscent of the recurring battle between open source and proprietary ecosystems, the AI Alliance includes about 50 members and is expected to help IBM, Meta and AMD challenge the largest players in generative AI.
AI is looking regulation in the face—and many in the industry are nervous about what they see.
AWS CEO Adam Selipsky and other top executives at the company’s annual re:Invent conference revealed updates and new products aimed at challenging offerings from Microsoft, Oracle, Google, and IBM.
We used to be a lot more interested in the mechanics of multitenancy. What are the exciting evolutions in the technologies that support it?
Cloud computing can help small and mid-size businesses unlock future growth opportunities, innovate faster, enhance customer experiences, and generate new revenue streams. These are the mistakes to avoid.
The mega cloud conferences hosted by cloud providers never fail to mesmerize us with shiny new technology. We should focus on our business needs instead.