Machine Learning in Observability Systems: From Insights to Action - Panos Tsilopoulos, Nike @Hyperight
Machine Learning in Observability Systems: From Insights to Action - Panos Tsilopoulos, Nike  @Hyperight
Uploaded March 2025 | Updated September 2026, 2 weeks ago
Get ready for an exciting episode of Hyperight Data Talks with Panos Tsilopoulos, Director of Observability Platform Engineering at Nike! Panos will also be taking the stage at the highly anticipated 10th edition of the Data Innovation Summit 2025!

In this talk, we cover Panos' journey through cloud infrastructure and platform engineering. We delve into his expertise in observability and the role of machine learning in transforming this space. From intelligent anomaly detection to the use of LLMs in root cause analysis, Panos shares insights on how these technologies are reshaping the future of observability. He also addresses the common barriers organizations face when adopting ML-driven observability and offers practical advice on overcoming these challenges. Don’t miss his thoughts on where the industry is heading and the crucial role AI will play in its evolution!

#HyperightDataTalks is a video podcast featuring interviews with some of the most innovative minds in data, analytics, AI, and more! We bring insights from enterprise practitioners, technology and service providers, start-ups, and academics. For additional interviews, audio podcasts, and videos from our top summit presentations, please visit www.hyperight.com.
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Machine Learning in Observability Systems: From Insights to Action - Panos Tsilopoulos, Nike

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