Break the Cycle of Spending $250Bn on Manual IT Operations with the IT Knowledge Graph

For twenty years, rules-based automation promised to transform IT operations but it only ever solved about 20% of the problem. The other 80%, the messy, context-dependent work that requires judgment, pattern recognition, and institutional knowledge, has remained human. The result is a $250 billion annual industry bill for teams manually stitching together actions across tools and processes just to keep the lights on.

Most I&O leaders have already poured tons of resources into observability tooling and operations headcount. But when your teams only hear about incidents after a customer reports them, when fragmented data across siloed tools makes it nearly impossible to quantify the value your operations deliver, and when every escalation requires manually chasing context across teams and platforms, it's clear the foundation itself needs to change.

AI can now handle the reasoning-driven work that rules-based automation could never touch but effective AI requires more than another tool in the stack. It requires an IT Knowledge Graph that captures how your organization actually operates, connecting machine data, institutional knowledge, and service context into a foundation that drives smarter decisions and real automation. In this virtual session, BigPanda's Founder and CEO, Assaf Resnick, and Adam Blau, VP of Product Marketing, will show you what that shift looks like in practice, and how organizations are already seeing 430% ROI, $13.6 million in labor savings, and a 36% reduction in outages.

Can't join us live? Register anyway and we'll send you a recording after the session. By registering, you consent to receiving email communications from The New Stack and BigPanda. You may opt out at any time.