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Data 2030 Summit 2025
AI
Data Architecture
Data Governance
Data Management
Data Modeling
Data Science
Machine Learning
20 - 21 Oct, 2026
Stockholm,
Sweden
Data 2030 Summit is an annual round table event gathering the Data Management community in one place and platform to discuss ways of equipping enterprises with the strategy, architecture, and enablement needed to transform data into a scalable, trusted foundation for autonomous and intelligent operations.
AI Summit Poland
AI
Big Data
DAMA
Machine Learning
8 - 9 Oct, 2026
Warszawa,
Poland
Weź udział w największym spotkaniu praktyków sztucznej inteligencji na polskim rynku! Zapraszamy praktyków biznesu i liderów cyfryzacji, ekspertów od technologii, a także naukowców i przedstawicieli instytucji, od których zależy dalszy rozwój i wykorzystanie AI w Polsce.
TDWI Transform 2026
AI
Analytics
Data Governance
Data Management
Data Modeling
Data Science
Machine Learning
20 - 26 Sep, 2026
Anaheim, CA,
United States
TDWI Transform 2026 is the premier training conference for data, analytics, and AI professionals—and for business leaders who want to strengthen their data and AI skills.
Data Innovation Summit ANZ
AI
Analytics
Data Architecture
Data Engineering
Data Management
Data Science
Machine Learning
17 Sep 2026
Sydney,
Australia
Welcome to the Data Innovation Summit ANZ. 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.
Data Science Summit AI Edition
AI
DAMA
Machine Learning
18 - 19 Jun, 2026
Warszawa,
Poland
Specjalna edycja konferencji w pełni poświęcona zagadnieniom z obszaru uczenia maszynowego i sztucznej inteligencji. Co roku gromadzi 1.500+ uczestników. Konferencji towarzyszy branżowe Data Science Expo.
The Data Science Conference®
AI
Data Science
Machine Learning
28 - 29 May, 2026
Chicago,
United States
This year marks our 10th anniversary (2015--2025)! We are the first and only sponsor-free, vendor-free, and recruiter-free data science conference℠.
Infoshare
AI
DAMA
Data Management
Data Science
Machine Learning
Security
20 - 21 May, 2026
Gdańsk,
Poland
Dołącz do tysięcy pionierów technologii, liderów wzrostu i wizjonerów biznesu, którzy spotykają się, by wymieniać się praktycznymi doświadczeniami i wspólnie kształtować cyfrowy świat jutra. Prawdziwe historie. Prawdziwe doświadczenia. Realny wpływ.
BUDAPEST DATA+AI FORUM 2026
AI
Data Engineering
Machine Learning
18 - 20 May, 2026
Budapest,
Hungary
The Budapest Data+AI Forum is Hungary’s leading and longest-running independent conference on Data Management, Machine Learning and AI. It builds on more than a decade of history as the former Data Forum, ML Forum, and Data+ML Forum. In 2026 it will take place on May 18-20, offering 3 days of technical talks, case studies, workshops and roundtables.
Data Innovation Summit
AI
Analytics
Data Engineering
Data Governance
Data Management
Data Quality
Machine Learning
6 - 8 May, 2026
Stockholm,
Sweden
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
AI
Analytics
Data Architecture
Data Engineering
Machine Learning
6 - 7 May, 2026
Boston,
United States
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.
