3173: The Future of IT Operations – Introducing Fabrix.ai and the Agentic AI Era

What happens when a company decides to redefine its identity? That’s what I witnessed firsthand at the IT Press Tour in Silicon Valley, as CloudFabrix unveiled its transformation into Fabrix.ai—a move that marks more than just a rebrand, but a bold step into the future of AI-driven IT Operations.

In this episode, I sit down with Raju Datla, CEO of Fabrix.ai, to explore this pivotal shift and the launch of their Agentic AI Operational Platform. We discuss why the evolution from CloudFabrix to Fabrix.ai is not just about a name change but revolutionizing how IT operations leverage AI agents for autonomous workflows, predictive analytics, and automated remediation.

Fabrix.ai introduces Agentic AI, a new paradigm where AI-driven agents operate independently to solve IT challenges—without constant human intervention. These agents can detect anomalies, manage SLAs, predict system failures, and execute automated fixes. But how does this compare to traditional AIOps and ML-driven approaches? And what safeguards are in place to prevent AI hallucinations, bias, and errors in critical IT workflows?

We’ll unpack how Fabrix.ai’s three foundational fabrics—AI Fabric, Automation Fabric, and Data Fabric—transform enterprise IT by combining AI-powered reasoning, real-time data processing, and intelligent automation. Raju shares insights into how large enterprises and telcos leverage this technology and how Fabrix.ai works with industry giants like Cisco, IBM, and Splunk to reshape IT operations.

Beyond the tech, we dive into leadership lessons from a serial entrepreneur—how Raju has built a loyal team across multiple ventures, the mindset needed to create sustainable, high-impact businesses, and why passion should always come before profit.

So, what does the future hold as we stand at the crossroads of AI-driven automation and IT modernization? Will Agentic AI usher in the long-promised era of fully autonomous enterprises?

What are your thoughts? Could AI-driven agents transform IT as we know it? Let’s continue the conversation.