Tech Field Day

The Independent IT Influencer Event

  • Home
    • The Futurum Group
    • FAQ
    • Staff
  • Sponsors
    • Sponsor List
      • 2025 Sponsors
      • 2024 Sponsors
      • 2023 Sponsors
      • 2022 Sponsors
    • Sponsor Tech Field Day
    • Best of Tech Field Day
    • Results and Metrics
    • Preparing Your Presentation
      • Complete Presentation Guide
      • A Classic Tech Field Day Agenda
      • Field Day Room Setup
      • Presenting to Engineers
  • Delegates
    • Delegate List
      • 2025 Delegates
      • 2024 Delegates
      • 2023 Delegates
      • 2022 Delegates
      • 2021 Delegates
      • 2020 Delegates
      • 2019 Delegates
      • 2018 Delegates
    • Become a Field Day Delegate
    • What Delegates Should Know
  • Events
    • All Events
      • Upcoming
      • Past
    • Field Day
    • Field Day Extra
    • Field Day Exclusive
    • Field Day Experience
    • Field Day Live
    • Field Day Showcase
  • Topics
    • Tech Field Day
    • Cloud Field Day
    • Mobility Field Day
    • Networking Field Day
    • Security Field Day
    • Storage Field Day
  • News
    • Coverage
    • Event News
    • Podcast
  • When autocomplete results are available use up and down arrows to review and enter to go to the desired page. Touch device users, explore by touch or with swipe gestures.
You are here: Home / Videos / Simplifying Big Data AI with Intel Analytics Zoo

Simplifying Big Data AI with Intel Analytics Zoo



AI Field Day 2


This video is part of the appearance, “Intel Presents at AI Field Day 2“. It was recorded as part of AI Field Day 2 at 13:30-14:30 on May 28, 2021.


Watch on YouTube
Watch on Vimeo

Applying machine learning to distributed big data analytics plays a central role in today’s intelligent applications and systems. These problem settings have pushed the field to address issues of data scale that were almost inconceivable to AI researchers even a decade ago. To address these challenges, Intel has open sourced Analytics Zoo (https://github.com/intel-analytics/analytics-zoo), which allows users to build and productionize end-to-end Big Data AI pipelines on large-scale Xeon clusters. In this talk, we will show how Analytics Zoo help real-world users (e.g., Burger King, Ant Group, etc.) build end-to-end Big Data AI solutions on Intel Xeon servers. Presented by Jason Dai, Intel Fellow and Chief Architect of Big Data AI, Intel.

Personnel: Jason Dai


  • Bluesky
  • LinkedIn
  • Mastodon
  • RSS
  • Twitter
  • YouTube

Event Calendar

  • Sep 10-Sep 11 — AI Infrastructure Field Day 3
  • Sep 24-Sep 25 — Security Field Day 14
  • Oct 9-Oct 9 — Tech Field Day Exclusive with Microsoft Security
  • Oct 22-Oct 23 — Cloud Field Day 24
  • Oct 29-Oct 30 — AI Field Day 7
  • Nov 5-Nov 6 — Networking Field Day 39
  • Nov 11-Nov 12 — Tech Field Day at KubeCon North America 2025

Latest Coverage

  • Apple OS26 Beta & GitHub Spark Breakdown | TSG Ep. 890 – Techstrong TV
  • Inside the Update: Exploring the Latest Features in Depth
  • The Future of Semiconductors and Mainframe Technology | TSG Ep. 911
  • VMware Cloud Foundation 9.0: The Easy Path from Day 0 to Private Cloud
  • VCF 9.0 Best Practices: The Network View

Tech Field Day News

  • Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3
  • A Look at Mainframe Innovation at Tech Field Day Extra at SHARE Cleveland 25

Return to top of page

Copyright © 2025 · Genesis Framework · WordPress · Log in