The Future of Feature Stores

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  • čas přidán 16. 08. 2023
  • Speakers:
    Yurender Gill, Software Engineer, BenchSci
    Yuvrender Gill is an entrepreneur, a data engineer and a writer based in Toronto. He helps companies build large scale machine learning systems and is currently helping BenchSci build world's most advanced biomedical AI to empower scientists by advancing biomedical assets and increase experimental success rate.
    Simba Khadder, CEO, FeatureForm
    Simba Khadder is a product leader with a strong engineering background, and Co-Founder and CEO of Featureform. He started his career as a software engineer at Google, before founding his first company, TritonCloud. His startup grew quickly and Simba’s team built ML infrastructure to handle 100M monthly active users. Upon doing so, he realized the enormous potential of their in-house MLOps infrastructure and decided to leave to start Featureform. Now, he leads a team delivering a new type of feature store. In his free time, he enjoys playing pool, bouldering, and playing ball with his sweet Sheep-a-doodle, Chupacabra. He’s also a published astrophysicist for his work on finding Planet 9 and ran the SF marathon in basketball shoes.
    Shabnam Mokhtarani, Head of Operations, FeatureForm
    Shabnam Mokhtarani is Head of Operations at Featureform. She began her career at Slack in 2015, where she worked as a global program manager in BizOps. Prior to joining Featureform, she transitioned from BizOps executive to software engineer. In her free time, she enjoys watching "Seinfeld" re-runs and going to SoulCycle classes.
    Abstract:
    Featureform CEO, Simba Khadder and BenchSci Data Engineer, Yuvrender, sit down to discuss their journeys building feature stores at their respective companies, and what the future holds for feature stores.
    Discussion Outline:
    How does BenchiSci manage its features? How does it fit into the rest of their MLOps stack?
    What is the value of a feature store?
    What is the future of feature stores, how will they look in a few years compared to now? Why?

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