Kubernetes

Datacast Episode 93: Open-Source Development, Human-Centric AI, and Modern ML Infrastructure with Ville Tuulos

Datacast Episode 93: Open-Source Development, Human-Centric AI, and Modern ML Infrastructure with Ville Tuulos

Ville Tuulos has been developing tools and infrastructure for data science and machine learning for over two decades. At Netflix, he led the machine learning infrastructure team. Currently, he is the CEO and co-founder of Outerbounds - where he’s building the modern, human-centric ML infrastructure stack, continuing the open-source product called Metaflow that he developed and managed during his Netflix days.

Datacast Episode 55: Making Apache Spark Developer-Friendly and Cost-Effective with Jean-Yves Stephan

Datacast Episode 55: Making Apache Spark Developer-Friendly and Cost-Effective with Jean-Yves Stephan

Jean-Yves (or "J-Y") Stephan is the CEO & Co-Founder of Data Mechanics, a Y-Combinator-backed startup building a data engineering platform that makes Apache Spark more developer-friendly and more cost-effective. Before Data Mechanics, he was a software engineer at Databricks, the unified analytics platform created by Apache Spark's founders. JY did his undergraduate studies in Computer Science & Applied Math at Ecole Polytechnique (Paris, France) before pursuing a Masters at Stanford in Management Science & Engineering.

Datacast Episode 37: Machine Learning In Production with Luigi Patruno

Datacast Episode 37: Machine Learning In Production with Luigi Patruno

Luigi Patruno is a Data Scientist and the Founder of MLinProduction.com. He’s currently the Director of Data Science at 2U, where he leads a team of data scientists and ML engineers in developing machine learning models and infrastructure to predict student success outcomes. Luigi founded MLinProduction.com to educate data scientists, ML engineers, and ML product managers about best practices for running machine learning systems in production.

As a consultant for Fortune 500s and start-ups, Luigi helps companies utilize data science to create competitive advantages. He has taught graduate-level courses in Statistics and Big Data Engineering and holds a Masters in Computer Science and a BS in Mathematics.