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The Top AI Events We’re Looking Forward to in 2024

Paco Nathan
,
Advisor

Our wonderful friend and advisor, Paco Nathan, helped us curate this list of AI events in 2024 to keep on our radar. Hope to see you at some of these events!

NLP Summit
  • https://www.nlpsummit.org/
  • Geography: Seattle + online
  • When: January 23rd
  • Why this is interesting: Large industry conferences for NLP applications, with especially high concentration of market share for Healthcare applications
Women in Data Science (WiDS)
  • https://www.widsworldwide.org/
  • Geograph: Stanford + online worldwide
  • When: March 8th
  • Why this is interesting: A distributed annual conference network with nearly 200 regional events worldwide in more than 50 countries, reaching 100,000 participants annually
NVIDIA GTC
  • https://www.nvidia.com/gtc/
  • Geography: San Jose + online
  • When: March 18th-21st
  • Why this is interesting: Worldwide draw for NVIDIA customers, amazing content w.r.t. machine learning; enormous visibility, though mostly the NVIDIA partners get onstage
Data Council
  • https://www.datacouncil.ai/austin
  • Geography: Austin (2023 edition -- was worldwide pre-pandemic)
  • March 26th-28th
  • Why this is interesting: Vendor neutral, deeply technical, lots of networking
QCon
  • https://events.infoq.com/
  • Geography: San Francisco / London (was worldwide pre-pandemic)
  • When: April 8th-10th
  • Why this is interesting: Worldwide series; excellent data-related content; good tutorials
ODSC
  • https://odsc.com/
  • Geography: San Francisco / Boston / London / APAC + virtual
  • When: April 23rd-25th
  • Why this is interesting: Popular worldwide series of data science conferences, which feature excellent tutorials
KGC
  • https://www.knowledgegraph.tech/
  • Geography: NYC + online
  • When: May 6th-10th
  • Why this is interesting: The premier industry+academic knowledge graph and graph ML conference in the world

GOTO and YOW!

  • https://gotopia.tech/
  • Geography: Chicago / Amsterdam / Copenhagen / Sydney / Melbourne
  • When: May 13th-15th
  • Why this is interesting: Worldwide series, draws top experts across computing, especially in Data + AI; done by and for practitioners; excellent tutorials

Data + AI Summit

  • https://www.databricks.com/dataaisummit/
  • Geography: San Francisco + online
  • When: June 10th-13th
  • Why this is interesting: originally Spark Summit, enormous; curated by conference chair Ben Lorica (Gradient Flow)
ICML
  • https://icml.cc/
  • Geography: rotating locations worldwide
  • When: July 21st-27th
  • Why this is interesting: One of the top academic conferences for machine learning in the world

AI Conference

  • https://aiconference.com/
  • Geography: San Francisco
  • When: September 18th and 19th
  • Why this is interesting: The premier AI tech industry conference in the Bay Area; curated by conference chair Ben Lorica (Gradient Flow)
CogX
Ray Summit
  • https://raysummit.anyscale.com/
  • Geography: San Francisco
  • When: September 18th-20th
  • Why this is interesting: Highly concentrated gathering of ML experts worldwide, focusing on more of the operational side; curated by conference chair Ben Lorica (Gradient Flow)

K1st World Symposium

  • https://www.k1st.world
  • Geography: Stanford
  • When: October 11th and 12th
  • Why this is interesting: Bringing together AI leaders from life-critical verticals; curated by conference chair Ben Lorica (Gradient Flow); lots of representation from Asia industrial firms

MLOps World

  • https://mlopsworld.com/
  • Geography: Austin (2023 edition) + online
  • When: October 25th and 26th
  • Why this is interesting: Large concentration of experts in MLOps, Machine Learning, and Data Science, focused on production use cases; colocated with GenAI Summit
Corunna Innovation Summit
  • https://www.corunna.dataspartan.com/
  • Geography: A Coruña (Spain)
  • When: October 26th and 27th
  • Why this is interesting: EU version of K1st World; colocated with EU tech incubator focused on AI and Quantum Computing, plus the new EU AI Ethics agency; lots of crossover with London/Oxford tech startup ecosystem

TMLS

  • https://www.torontomachinelearning.com/
  • Geography: Toronto + online
  • When: November 29th and 30th
  • Why this is interesting: A large ML meetup turned into a global conference; great concentration of experts in Finance, Healthcare; excellent tutorials
PyData
  • https://pydata.org
  • Geography: events worldwide; PyData Global is online
  • When: December 6th and 7th
  • Why this is interesting: Arguably the most active event series in AI+Data, and worldwide probably the largest in terms of ongoing participation
NeurIPS
  • https://neurips.cc/
  • Geography: rotating locations worldwide
  • When: December 10th-16th
  • Why this is interesting: One of the top academic conferences for machine learning in the world

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