Description

Vertex Vector Search is a fully managed service from Google Cloud that allows developers to perform fast and accurate similarity searches across billions of items, powering many use cases such as recommendation engines, search engines, chatbots, and text classification. Vertex Vector Search is based on vector search technology developed by Google research, and now you can leverage the same infrastructure that provides a foundation for Google products such as Google Search, YouTube, and Play.


Local ODSC chapter in NYC, USA

Instructor's Bio

Kaz Sato, 

Staff Developer Advocate, Cloud AI, Google Inc.

Kaz has shared over 25 ML/AI blogs and demos at Google Cloud official blog that have been featured by Jeff Dean, Eric Schmidt, Newsweek, and The New Yorker. Having presented in 17 countries, he also regularly speaks at Google I/O and Cloud Next SF. Additionally, he tweets about ML/AI to his 19K followers.

Greg Brosman, 

Product Manager, Cloud AI

Greg is an Outbound Product Manager in Google Cloud on their Vertex AI team.  He’s been a PM across Google’s AI platform, its enterprise building management team, and Workspace collaboration products. Previously, he worked in IoT for utilities and municipalities.

Eran Lewis

Sr. Product Manager, Google Cloud

Eran is an experienced product leader with a background in Product Management and Engineering. He is currently the lead product manager for Vertex AI Vector Search at Google Cloud. Before joining Google, Eran was a Lead Product Manager at Uber, where he managed a team of PMs to deliver innovative and impactful AI/ML and UX products.

Webinar

  • 1

    ON-DEMAND WEBINAR: "Build Fast and Scalable AI Applications with Vertex Vector Search"

    • Ai+ Training

    • Webinar recording

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