Ketan Umare

Ketan Umare, CEO at Union.ai, discusses ML orchestration vs MLOps, prioritizing features for open-source and enterprise projects, challenges of ML orchestration, building a flexible architecture, Unionverse flight and plugin models, challenges of large language models and evaluation.

In this podcast, Ketan Umare, CEO of Union and former leader of the ETA models team at Lyft, discusses the evolution of ML platforms. Topics include the importance of collaboration in AI, challenges of using Airflow in ML operations, building ML platforms with correctness and collaboration, and the future of AI workflows. Insights on navigating the changing landscape of AI and building scalable infrastructures are shared.

Ketan Umare, Co-founder and CEO of Union.ai, shares insights from his extensive experience at Lyft, Oracle, and Amazon. He discusses the limitations of Airflow in machine learning, emphasizing the need for ML-specific orchestration tools. The conversation covers the complexities of data pipelines, the importance of effective feature management, and the challenges of model drift. Ketan also highlights cloud-native solutions, security in modern engineering, and innovative programming collaborations, all while offering book recommendations that tie historical lessons to today's tech landscape.