Panel: Challenges of Operationalizing ML

April 22, 12:10 pm - 12:40 pm (30 Minutes)

Our panel discussion will focus on the main challenges of building and deploying ML applications. We’ll discuss common pitfalls, development best practices, and the latest trends in tooling to effectively operationalize ML


Alex Williams

Founder and Editor in Chief

The New Stack

Alex Williams is founder and publisher of The New Stack, a content platform for the people who build and manage software the world relies on. He was an editor at ReadWriteWeb and TechCrunch before leaving in 2014 to start The New Stack. Alex hosts The New Stack Makers pancake and podcast breakfast, and livestreams from tech events around the globe with the generous support of The New Stack’s sponsors in the cloud native ecosystem.

Aparna Dhinakaran

CPO

Arize AI

Aparna Dhinakaran is Chief Product Officer at Arize AI, a startup focused on ML Observability. She was previously an ML engineer at Uber, Apple, and Tubemogul (acquired by Adobe). During her time at Uber, she built a number of core ML Infrastructure platforms including Michaelangelo’s Model Store. She has a bachelors from Berkeley’s Electrical Engineering and Computer Science program where she published research with Berkeley’s AI Research group. She is on a leave of absence from the Computer Vision PhD program at Cornell University.

Barr Moses

CEO & Co-Founder

Monte Carlo

Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company backed by Accel, GGV, Redpoint, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.

Kevin Stumpf

Co-Founder and CTO

Tecton

Kevin co-founded Tecton where he leads a world-class engineering team that is building a next-generation feature store for operational Machine Learning. Kevin and his co-founders built deep expertise in operational ML platforms while at Uber, where they created the Michelangelo platform that enabled Uber to scale from 0 to 1000’s of ML-driven applications in just a few years.

Prior to Uber, Kevin founded Dispatcher, with the vision to build the Uber for long-haul trucking. Kevin holds an MBA from Stanford University and a Bachelor’s Degree in Computer and Management Sciences from the University of Hagen. Outside of work, Kevin is a passionate long-distance endurance athlete.