Top 5 Use Cases for AI-Powered Observability
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Top 5 Use Cases for AI-Powered Observability
The landscape of observability is evolving rapidly, driven by advancements in AI and the growing complexity of cloud-native environments. As businesses scale and demand faster innovation, traditional monitoring approaches are no longer enough. In this webinar, industry experts will explore the emerging trends shaping the future of observability, from AI-powered insights that accelerate troubleshooting to proactive anomaly detection and intelligent automation.
Join us to discover how AI is transforming cloud monitoring and troubleshooting, enabling teams to gain deeper visibility, reduce downtime, and optimize performance with real-time intelligence. We’ll discuss best practices for harnessing AI-driven observability to enhance your operations, minimize mean time to resolution (MTTR), and stay ahead in an increasingly dynamic cloud landscape.
What You’ll See
- Real-life use cases from developers using AI to troubleshoot and monitor
- Insights into the future of observability powered by AI
- An overview of how Lumigo is impacting the AI observability movement
Meet your hosts
VP of Product
Orr is VP of Product at Lumigo and has been building products for nearly two decades in various dev and product roles. Orr has formerly held leading Product roles at AWS, GCP, and Spot.io and was lead developer at the IDF and RAM Engineering. Orr holds a Master of Business Administration (M.B.A.) from The University of Chicago Booth School of Business and a Bachelor's Degree in Economics and Management from The Open University of Israel.
Product Manager
Lir is a seasoned product manager with a robust background in cloud security, DevOps, and enterprise solutions. Currently, at Lumigo, Lir drives innovative observability solutions, leveraging expertise in customer-focused development and cross-functional collaboration. Previously, Lir held product management roles at Wiz and Rookout.
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