237 | Breaking Analysis | Gen AI is Passe', Enter the Age of Agentic AI

In this Breaking Analysis, theCUBE Research’s Dave Vellante and George Gilbert share their thoughts on the emerging trends around Agentic AI. They define what it is, how Agentic builds on (and is additive to) generative AI, what’s missing to make it real, what the stack components look like and some of the likely players in the space.

This new form of AI builds on generative models by enabling agents to plan and execute tasks autonomously and in coordination with other agents. This approach promises more significant and tangible business value, addressing some of the limitations seen in current generative AI applications.

Be sure to follow Dave's weekly Breaking Analysis podcast as well, for the deep data dives on enterprise computing trends, from spending patterns to Wall Street implications.

#SiliconANGLE #theCUBE #BreakingAnalysis #AgenticAI #GenerativeAI

[riffsoffov]

Thanks for the video, it's very insightful and with clear explanations. I'm voting for agentic AI to be the next wave, not just a buzzword. Some day there might be an all-in-one AI model that can do it all, but if it happens soon I think it would be less efficient than agents in terms of cost, energy and maybe latency. I'm not a tech expert and I'll welcome being educated if that doesn't make sense.

[ibgib]

Yet another video talking about the requirements that my ibgib protocol addresses. Replacing APIs which foster unDRY, fragmented interop with semantic version control dynamics. It's like general relativity to git's special relativity, or add I say "version all teh things". Instead of silos and API plumbing, we use public repository analogs that contain not only src code (i.e. text files) but also all data, derivative data and metadata. **All within the same Merkle DAG**

This means we leverage one special meta API with the domain of space + time which uses memoized functions with overlap with today's git API: clone, fork, merge, push, pull, sync, etc.

This provides the foundation for a unique collaborating model that didn't currently exist (or rather is currently being inefficiently kluged on top of git).