Top Data Conferences in  2025 & 2026

Discover top data conferences, summits, and events covering everything data-related
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Analytics and Data Summit 2025

Analytics
Data Management
8 - 10 Apr, 2025 Redwood Shores,  United States
The three-day summit is organized and managed by the Analytics and Data Oracle User Community. The conference features keynotes by industry experts, educational sessions by practitioners and developers, hands-on labs, and networking events.
Conference for professionals in charge of Big Data and AI – on the aspects of implementing, developing and using Big Data and AI solutions. An international conference bringing together also participants from other markets and countries. The conference co-organised with the GetInData. The conference official language is English.
This is an event that puts in the spotlight the value of Data through Interactive Q&A, roundtables, panel discussions and networking time. Over these 3 days, we will cement Data Management's importance in achieving most of today's priorities for building a modern, future-proof organization, whether it's customer experience, sustainability, compliance or future tech adoption.

Azure Cosmos DB Conf

Microsoft Data Platform
16 - 16 Apr, 2025 Online,  Online
Azure Cosmos DB Conf is a free online virtual developer event organized in collaboration with the Azure Cosmos DB community, and sessions will be delivered by community members and Microsoft. The event will be streamed in three, 3-hour live segments with unique content in each.

PyCon DE & PyData 2025

Data Science
23 - 25 Apr, 2025 Darmstadt,  Germany
Welcome to PyCon DE & PyData - Europe's largest Python community gathering! Join over 1,500 expected attendees for an extraordinary celebration of Python technology and data science. What can you expect from the conference?

CDAO West Coast

CDO
Data Management
23 - 24 Apr, 2025 San Francisco,  United States
Returning for its ninth year, CDAO West Coast 2025 is the premier event for data and analytics leaders across industries, focused on harnessing the power of data to fuel business growth and digital transformation.

Uphill Conf 2025

AI
24 - 25 Apr, 2025 Bern,  Switzerland
Following a sold-out event and phenomenal feedback last year, Uphill Conf returns for its fifth edition. Once again, we will explore the profound and lasting impact of Artificial Intelligence and Machine Learning on software engineering.

IA Data Day 2025

AI
24 - 24 Apr, 2025 Strasbourg,  France
IA & Data Day is the first technical conference around the topics of AI and Data in the Grand Est region. The half-day conference is open to professionals, students and hobbyists, interested in or users of AI and Data. Organized by Capitale Dev, a non-profit association that also organizes other major events (Devfest Strasbourg, BSides Strasbourg, Global Game Jam).
The Data Management Professional of 2024 is becoming obsolete. As AI reshapes our industry, traditional roles are transforming overnight. Will you be orchestrating AI systems, or replaced by them? Join us in Antwerp to explore how leading organizations are redefining data careers, expanding skill sets, and creating entirely new roles. Join us in Antwerp for a peer-to-peer discussion with 30 other data leaders.

Machine Learning Prague 2025

Machine Learning
28 - 30 Apr, 2025 Prague,  Czech Republic
You can look forward to an excellent lineup of 45 international experts in ML and AI business and academic applications at ML Prague 2025. They will present advanced practical talks, hands-on workshops, and other forms of interactive content to you.

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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.