As enterprise environments become increasingly distributed and complex, the volume of telemetry data has outpaced human capacity to analyze it. This has been future compounded by the challenges of tokenomics. Jeetu Patel sits down with the founders of Galileo to discuss how we are moving beyond passive dashboards toward a future of autonomous, intelligent agents that can reason through system issues in real time.

10. Observability in the Age of AI with Jeetu Patel, Atin Sanyal, and Yash Sheth

Cisco Podcast Network

Hello again, and welcome to the Cisco Podcast Network. I have with me today two very special guests from a recent acquisition that we made of a company called Galileo, Yash, and Atin. And we have Vikram, who's the third musketeer, who is not here today because he has had a new addition to his family, so he's enjoying well-deserved time with his family. So we'll make sure that we have him on the next pod. But welcome to both of you. Thank you.

And before I get started, you folks have had an amazing background. You were at Google. You worked at DeepMind. Talk to us a little bit about that. What did you do over there? And what learnings did you have before we go into how did you think about founding Galileo and what happened from there? Yeah. So, you know, before we started Galileo, I spent about a decade working at Google building conversational AI systems. You know, we started with very rudimentary speech-to-text systems.

And, you know, there was a time when we were able to convince Larry, Sergey, and the business that conversational AI is going to be extremely, extremely important. That's going to be the main way by which the world consumes technology. And so we've gone over a whole host of models over the last decade, whether it's like right from caution mixture models to RNNs to DNNs to transformers and then to large transformers.

And again, I think the big unlock that LLMs, which is the large transformer architectures have had is we didn't have to really hard code the natural language understanding parts into like a hard coded workflow that initially these assistants were built on. And on top of that, these models became multimodal.

10. Observability in the Age of AI with Jeetu Patel, Atin Sanyal, and Yash Sheth

Read the full transcript

The candid version is on a podcast,
not the earnings call.

10. Observability in the Age of AI with Jeetu Patel, Atin Sanyal, and Yash Sheth

Read the full transcript

The candid version is on a podcast, not the earnings call.

The candid version is on a podcast,
not the earnings call.