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Panel: Challenges of Operationalizing ML

Posted Apr 08
# Organization and Processes
# Panel Discussion
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SPEAKERS
Alex Williams
Alex Williams
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 StackÕs sponsors in the cloud native ecosystem.

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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 StackÕs sponsors in the cloud native ecosystem.

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Aparna Dhinakaran
Aparna Dhinakaran
Aparna Dhinakaran
Co-Founder & Chief Product Officer @ Arize AI

Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer, and early leader in machine learning (ML) observability. A frequent speaker at top conferences and thought leader in the space, Dhinakaran was recently named to the Forbes 30 Under 30. Before Arize, Dhinakaran was an ML engineer and leader at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michealangelo. She has a bachelorÕs 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 Ph.D. program at Cornell University.

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Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer, and early leader in machine learning (ML) observability. A frequent speaker at top conferences and thought leader in the space, Dhinakaran was recently named to the Forbes 30 Under 30. Before Arize, Dhinakaran was an ML engineer and leader at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michealangelo. She has a bachelorÕs 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 Ph.D. program at Cornell University.

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Barr Moses
Barr Moses
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.

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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.

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Kevin Stumpf
Kevin Stumpf
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,ÊKevinÊfounded Dispatcher, with the vision to build the Uber for long-haul trucking.ÊKevinÊholds an MBA from Stanford University and a Bachelor's Degree in Computer and Management Sciences from the University of Hagen. Outside of work,ÊKevinÊis a passionate long-distance endurance athlete.

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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,ÊKevinÊfounded Dispatcher, with the vision to build the Uber for long-haul trucking.ÊKevinÊholds an MBA from Stanford University and a Bachelor's Degree in Computer and Management Sciences from the University of Hagen. Outside of work,ÊKevinÊis a passionate long-distance endurance athlete.

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SUMMARY

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

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Posted Apr 12 | Views 11
# Data engineering
# Feature Stores
# Production Use Case
# Systems and Architecture