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 / Intel Graph Analytics & AI: An Efficient Way to Analyze Massive Datasets

Intel Graph Analytics & AI: An Efficient Way to Analyze Massive Datasets



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

Graphs are playing a key role in big data analytics, providing insights in many domains through traditional graph algorithms and graph neural networks. As the size of these data sets increase, the computing power needed also increases and the software techniques to manage it becomes ever more critical. For example, there are Intel-based single node systems which can have up to 16TB of main memory with Optane DC PMM, large clusters of machines are available with thousands of cores, and specialized hardware for processing large scale graphs are being developed. Intel and Katana Graph are collaborating to produce an efficient and scalable graph analytics library that works across this wide variety of platforms.

Presented by Arijit Bandyopadhyay, CTO – Enterprise Analytics & AI and Head of Strategy – Cloud and Enterprise, Data Platforms Group, Intel Corporation, Ramesh Peri, Senior Principal Engineer at Intel Corporation, Intel’s Architecture, Graphics and Software Group, Intel Corporation, and Roshan Dathathri, Software Engineer, Katana Graph.

Personnel: Arijit Bandyopadhyay, Ramesh Peri, Roshan Dathathri


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

Event Calendar

  • May 28-May 29 — Security Field Day 13
  • Jun 4-Jun 5 — Cloud Field Day 23
  • Jun 10-Jun 11 — Tech Field Day Extra at Cisco Live US 2025
  • Jul 9-Jul 10 — Networking Field Day 38
  • Jul 16-Jul 17 — Edge Field Day 4
  • Sep 10-Sep 11 — AI Infrastructure Field Day 3
  • Oct 29-Oct 30 — AI Field Day 7

Latest Links

  • Compliance Does Not Equal Security
  • Meraki Campus Gateway: Cloud-Managed Overlay for Complex Networks
  • Exploring the Future of Cybersecurity at Security Field Day 13
  • 5G Neutral Host: Solving Enterprise Cellular Coverage Gaps
  • Qlik Connect 2025: Answers For Agentic AI

Return to top of page

Copyright © 2025 · Genesis Framework · WordPress · Log in