Top AI Conferences in  2026 & 2027

Discover top data conferences, summits, and events covering everything data-related
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Join us in London from 23 to 27 March 2026 for an immersive four-day event that will revolutionise your understanding of Data Governance, AI Governance & Master Data Management. Be part of this transformative experience with us.
Join us in London from 23 to 27 March 2026 for an immersive five-day event that will revolutionise your understanding of Master Data Management, Data Governance, and AI Governance. Be part of this transformative experience with us.

data:unplugged 2026

AI
Data Management
Data Privacy
26 - 27 Mar, 2026 Münster,  Germany
data:unplugged 2026 is more than Europe’s biggest festival for Data & AI. It’s the stage for everyone shaping the future. For those taking responsibility — in business and in society. For those who know: the future is created where people with attitude, knowledge, and courage come together.
W tym roku rozwijamy nasze silne fundamenty w obszarze danych i wkraczamy na nowy obszar systemów natywnie opartych na AI. Program został zaprojektowany tak, aby inspirować zarówno profesjonalistów zajmujących się danymi, jak i innowatorów AI — łącząc inżynierską głębię z przyszłościowymi zastosowaniami sztucznej inteligencji.
This is not another buzzword-heavy summit. In a world obsessed with the next shiny tech trend, data fundamentals often get overlooked. At Thinklab, we do the opposite.
SQLBits, is the unmissable event for data professionals, and will run from the 22-25 April in 2026 at the ICC Wales. Join 2000 industry leaders and peers across four days of unrivalled opportunities to ask questions, deep dive into your real world challenges, and knowledge share.
Welcome to the Data Innovation Summit MEA. The most influential annual Data, Analytics and AI event in the world, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Applied Data Innovation, Data Science, Big Data, ML, Applied AI, Generative AI, Data Management, Data Engineering, Architecture, Databases and DevOps, in one place to discuss ways to accelerate AI-Driven Transformation throughout companies, industries and public organisations.
The Data Governance & Information Quality Conference (DGIQ) is the industry’s premier event focused exclusively on Data Governance and Information Quality. Enterprise Data World (EDW) has long held its place as the most comprehensive educational conference on Data Management. In Spring 2025, these two powerhouses joined forces—and in Spring 2026, they’re back together again for a second year of connection, insight, and growth. Hosted at the Catamaran Resort Hotel & Spa in San Diego, this event blends expert-led education with an unmatched setting for networking and professional development.
The Data Innovation Summit is designed to address every dimension of a truly data-driven, AI-ready business: data, people, processes, and technology. The event bridges business and technical perspectives, balancing the practical with the inspirational, the realistic with the futuristic, and the educational with the exciting. It connects regional strengths with global insights, live experiences with digital reach, and broad themes with deep, niche expertise.
Data Summit 2026, this May 6 - 7 in Boston, delivers a high-impact learning experience for data and AI professionals at every level. You’ll gain practical strategies and forward-looking perspectives from industry leaders who are addressing the challenges and opportunities shaping the future of data.

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The information provided on the website dataEvents.co is curated manually and to the best of our abilities. While we make every effort to ensure accuracy, please be aware that data accuracy may vary and might not always be 100% precise. Conference details, dates, and countries are subject to change, and we recommend users to verify information directly with the respective conference organizers before making any travel or attendance arrangements. We are not liable for any inconvenience, loss, or misunderstanding arising from the use of this information.
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