Building AI Models for IT Operations

Sunil Mallya (@sunilmallya, Co-Founder & CTO @_FlipAI) talks about building AI models to help IT Operations teams simplify troubleshooting, incident response and pattern detection.  SHOW: 874 SHOW TRANSCRIPT: The Cloudcast #874 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SHOW NOTES:Flip AI (homepage)Enterprise AI Agents: Bringing LLMs to Enterprise Data Topic 1 - Welcome to the show. Topic 2 - Let’s begin by talking about your broader view of where IT Operations is today for large companies. What are their biggest challenges, and where are their opportunities for big improvements? Topic 3 - One of the biggest challenges for IT Operations is so many systems, so many tools, so many data sources and the difficulty of coordinating (troubleshooting, incident response, pattern detection, etc.) across them. Is there a modern approach that’s emerging about how to make this better? Topic 4 - Where does the potential of AI models come into play here? It is more focused on being able to ask the system for diagnosis, or can it start getting closer to taking independent actions? Topic 5 - How do you train an AI model with so many different pieces of customer data? Topic 6 - Let’s talk about AI Agents and what they can begin to accomplish within an Enterprise. FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod