What's ๐ with AWS? #ITOpsQuery
Key Takeaways
AWS launches new agentic AI services for enterprise organizations
Full Transcript
I had not heard of neuro-symbolic AI, so I assume that that would scale better than things like runbooks and policies. >> It is mathematically more accurate because you're you're doing proofs. Underneath the hood, you're building a mathematical model. Basically, what neuro-symbolic AI does is combines mathematical reasoning, so automated reasoning, with with LLMs to generate some of these proofs, etc. And then the math solves all the proofs. But it boils down to is you're trying to get as much determinism as possible. So, for example, if you go back a few years, one of the most well-known examples of applying it at AWS is is this network policy the correct network policy? Can I prove that this is the right network policy? And it won't do the wrong thing. Now, we are making those things available to our AI agents so that they don't make mistakes like that. Right.
Original Description
Amazon Web Services launched new agentic AI services during its AWS Summit New York conference this week, all geared toward helping enterprise organizations keep pace with the speed of AI development. On the latest episode of IT Ops Query, Beth Pariseau caught up with the AWS VP of agentic AI Deepak Singh to discuss these updates, how AWS ensures quality and reliability for agentic AI systems through its AgentCore system and other tools, and how enterprises can get the most out of AI use.
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