List of data and AI conferences in 2026 and 2027
Choosing which conferences to attend is a budget decision, not a calendar decision. Teams building modern data platforms and putting AI into production have limited travel budgets and a crowded market of events competing for them, and most published lists go stale within a quarter.
This is Qubika’s curated list of data, artificial intelligence, and machine learning conferences covering the remainder of 2026 and the full 2027 calendar. It includes 70 events across North America, Europe, Latin America, Asia, and the Middle East. Every date has been verified against the organizer’s own site. Events whose 2027 dates have not been announced are listed separately with their annual pattern, and a final section covers the events that have been renamed, merged, or discontinued, which is where most outdated conference lists go wrong.
Last updated September 2026. Reviewed quarterly.
The events below cover:
- Modern data platforms, lakehouse architecture, and data engineering
- Generative AI, LLMs, and AI agents in production
- MLOps, AI infrastructure, and platform engineering
- Data governance, security, and AI risk management
- Applied machine learning research
- Regional data and AI ecosystems in Latin America
Why a curated conference list matters
The event market has grown faster than the ability to evaluate it. Vendor summits, research conferences, regional meetups, and expo style events all compete for the same budget, and they serve very different purposes. A research conference is where you track what will be production ready in two years. A vendor summit is where you resolve a roadmap question with the people who own it. A
n expo is where you compare a shortlist in two days instead of two months.
Conference lists also decay quickly. Dates move, events get renamed after acquisitions, and some disappear entirely. This list is maintained rather than published once, and it flags what changed so you are not planning around an event that no longer exists.
Why participate? The business impact
For teams building data and AI capability, the return on a conference comes from three things.
Roadmap visibility.
Vendor summits are where platform direction gets communicated first. If your data platform decisions depend on what Databricks, Snowflake, AWS, or Microsoft ship next, those rooms shorten your planning cycle.
Technical depth for the team.
Research and practitioner conferences give engineering teams direct exposure to methods before they become standard practice. That matters most in areas moving quickly, such as agent architectures, evaluation, and AI infrastructure.
Commercial acceleration.
Concentrated access to peers, partners, and prospective clients compresses months of relationship building into a few days. For most organizations this is the line item that justifies the rest.
Curated Data & AI Conferences 2026
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7 Oct to 8 Oct , 2026
Amsterdam, Netherlands
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19 Oct to 22 Oct , 2026
Orlando, FL
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19 Oct to 20 Oct , 2026
RAI, Amsterdam
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20 Oct to 22 Oct , 2026
Berlin, Germany
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25 Oct to 28 Oct , 2026
Las Vegas, NV
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26 Oct to 29 Oct , 2026
Atlanta, GA
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27 Oct to 29 Oct , 2026
San Francisco, CA
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3 Nov to 6 Nov , 2026
Global, virtual
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4 Nov to 5 Nov , 2026
San Francisco, CA
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9 Nov to 12 Nov , 2026
Barcelona, Spain
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9 Nov to 12 Nov , 2026
Salt Lake City, UT
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9 Nov to 12 Nov , 2026
Lisbon, Portugal
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10 Nov to 11 Nov , 2026
https://ndsmlsummit.com
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17 Nov to 18 Nov , 2026
Austin, TX
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17 Nov to 20 Nov , 2026
San Francisco, CA
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25 Nov to 26 Nov , 2026
Bengaluru, India
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25 Nov to 26 Nov , 2026
London, United Kingdom
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30 Nov to 3 Dec , 2026
Washington, DC
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30 Nov to 4 Dec , 2026
Las Vegas, NV
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9 Dec to 10 Dec , 2026
New York, NY
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