Tecton Round-table // Get your ML Application Into Production

Name: Tecton%20Round-table%20//%20Get%20your%20ML%20Application%20Into%20Production
Uploaded: 2023-09-26

Posted Sep 26, 2023 | Views 613

# ML Application

# Production

# Tecton 0.6

speakers

Kevin Stumpf

Co-Founder & 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.

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Derek Salama

Senior Product Manager @ Tecton

Derek is currently a Senior Product Manager at Tecton, where he is responsible for security, collaboration experience, and Feature Platform infrastructure. Prior to Tecton, Derek worked at Google and Lyft across both ML infrastructure and ML applications.

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Eddie Esquivel

Senior Solutions Architect @ Tecton

Eddie Esquivel is a Solutions Architect at Tecton, where he helps customers implement feature stores as part of their stack for operational ML. Prior to Tecton, Eddie was a Solutions Architect at AWS. He holds a Bachelor’s Degree in Computer Science & Engineering from the University of California, Los Angeles.

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Isaac Cameron

Consulting Architect @ Tecton

Isaac Cameron is a Consulting Architect at Tecton. Prior to Tecton, he was a Principal Solutions Architect at Slalom Build, focusing on data and machine learning, where he built his own feature platform for a large U.S. airline and has enabled many organizations to build intelligent products leveraging operational ML.

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Demetrios Brinkmann

Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Getting an ML application into production is more difficult than most teams expect—but with the right preparation, it can be done efficiently! Join us for this exclusive roundtable, where 4 machine learning experts from Tecton will discuss some of the most common challenges and best practices to avoid them.

With over 35 years of combined experience in MLOps at companies like AWS, Google, Lyft, and Uber, and 15 years of experience at Tecton spent helping customers like FanDuel, Plaid, and HelloFresh getting ML models into production, the presenters will share how factors like organizational structure, use cases, tech stack, and more, can create different types of bottlenecks. They’ll also share best practices and lessons learned throughout their careers on how to overcome these challenges.

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