SVP of Engineering Data & ML
Bio
Nikhil Gopinath Kurup is Sr. Vice President of Machine Learning at Sedai. As a pioneer of autonomous cloud optimization, Nikhil played a critical role in building Sedai’s proprietary machine learning technology, which enables customers to dramatically reduce their cloud costs and prevent availability issues. He is a leading expert on both the frontier of AI/ML as well as modern cloud services, across AWS, Microsoft Azure, and Google Cloud. Nikhil partners with companies like Palo Alto Networks, HP, and GSK to optimize their infrastructure.
Before Sedai, Nikhil gained broad engineering and data science experience at H20.ai, Kore.ai, and Teradata. He earned a Master’s Degree in Information and Data Science from UC Berkeley.
We will discuss the remarkable latency reduction achieved by fabric, thanks to the implementation of Sedai's solutions. By leveraging Sedai's expertise, fabric managed to slash latency by up to an astonishing 50%. We will explore the techniques and strategies employed by fabric, unveiling the secrets behind their incredible success
Learn strategies for enhanced system performance and reliability. See how observability metrics lay the foundation for autonomous systems, and how Palo Alto Networks approaches production metrics. Explore the potential problems associated with an overwhelming influx of data and metrics and how ML-driven correlation analysis can identify truly predictive metrics in an environment with multiple monitoring providers, multiple resource types, real-time data stress and predictive analytics. See how Palo Alto Network uses a multi-stage approach that includes a notice filter, aggregation, analysis, auto-remediation and notifications.
