Autonomous Resource Optimization: How AI is Solving the Overprovisioning Problem

In this session, Suresh Mathew will explore how autonomous AI is revolutionizing cloud resource management for DevOps, SRE, and Platform Engineering teams.

Traditional cloud infrastructure typically suffers from significant overprovisioning—a "better safe than sorry" approach that leads to wasted resources and inflated costs. This presentation will demonstrate how AI-powered autonomous systems are eliminating this problem through continuous, real-time optimization.

Key topics include:

Why manual and rule-based optimization approaches fall short in dynamic cloud environments

How machine learning predicts workload patterns to right-size resources before they're needed

Real-world implementation strategies that don't compromise reliability or performance

Featured case study: Learn how Palo Alto Networks implemented autonomous resource optimization to save $3.5M in cloud costs while maintaining strict performance SLAs across their global security infrastructure.

Bio:

Suresh Mathew is the CEO and Founder of Sedai, an autonomous cloud management platform. Previously, as Sr. MTS Architect at PayPal, he built an AI/ML platform that autonomously resolved performance and availability issues—executing over 2 million remediations annually and becoming the only system trusted to operate independently during peak holiday traffic.