The ML Data Engineering Conference

Join the ML data engineering conference - a free virtual interactive event on data engineering for applied machine learning.

May 18, 2022, 3:30 – 10:30 PM

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Key Themes

CloudDataEnterprise/Business SolutionsMachine Learning

About this event

== Register here to receive the join link: https://bit.ly/3rUJGEw

The ML data engineering conference is a free virtual interactive event on data engineering for applied machine learning.

It is geared for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications.

Agenda includes:

* 40+ deep dive live tech talks

* 4 Hands-on workshops/tutorials

* Networking with speakers/attendees

* Post-event social (in-person) in NYC and San Francisco

* food, swags and prizes

Featured speakers:

Chip Huyen from Stanford

Matei Zaharia, Co-Founder from Databricks

Smitha Shyam, Director of Engineering from Uber

Shreya Shankar from UC Berkeley - RISELab

Mike Del Balso, Co-Founder from Tecton

Waleed Kadous, Head of Engineering from Anyscale

Manoj Agarwal, Architect Fellow from Walmart Global

Cary Goltermann, Machine Learning Engineer from Primer.ai

and 30+ more.

Partner

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Organizers

  • Ralph Yozzo

    Tidalforce

    GDG Organizer

  • Anna Nerezova

    GDG Organizer

  • Bhavik Chopra

    Pace University

    Computer Science Graduate Student

  • Shivika Arora

    JP Morgan

    Executive Director, Product

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