Patrick Ames

In this insightful discussion, Patrick Ames, a Principal Engineer at Amazon Web Services specializing in exabyte-scale data, shares his journey from Apache Spark to Ray. He reveals the challenges Spark posed as data volumes increased, leading to long processing times and high costs. Ames emphasizes the efficiency and cost advantages of Ray, a framework designed for scalable AI applications. He also touches on the significance of automation in daily life and the importance of community contributions to open-source innovations.