Europe remains a powerhouse for AI innovation and analytics expertise, hosting a vibrant lineup of conferences throughout 2026 that bring together industry frontrunners, academic leaders, and data practitioners. From Amsterdam to Vilnius, these events spotlight the evolving synergy between data science, artificial intelligence, and real-world business transformation.
1.Amsterdam Calls: The Future of Data Science at DSC Next Conference
Location: Park Plaza Amsterdam, Netherlands
Date: May 7-8, 2026
Website: dscnextconference.com
Focus: One of Europe’s most dynamic gatherings for data science and machine learning professionals, DSC Next bridges enterprise insights with cutting-edge academic research. Expect deep dives into generative AI, responsible ML, and scalable analytics applications.
2.Stockholm’s Data Innovation Summit: Where Analytics Meets Action
Location: Stockholm, Sweden (Kistamässan) – onsite & hybrid
Date: May 6 – 8, 2026
Website: datainnovationsummit.com
Focus: An annual data and AI event in the Nordics, this summit gathers global experts in applied AI, data engineering, decision intelligence, and automation. Known for its balanced mix of business strategy and technical sessions, it’s a must-attend for data leaders and practitioners alike.
3.Granada Hosts High-Level AI Research at IEEE CAI 2026
Location: Granada, Spain (Palacio de Congresos de Granada)
Date: May 8 – 10, 2026
Website: sci2s.ugr.es/cai-2026
Focus: Organized by IEEE, this conference focuses on AI research, industrial applications, and emerging challenges. Topics range from ethical AI and edge computing to intelligent automation and cross-sector innovations. A key meeting point for academic and professional AI communities.
4.Berlin’s AI & Data Summit: Scaling Intelligence in Enterprise
Location: Berlin, Germany (bcc Berlin Congress Center)
Date: September 22 – 23, 2026
Website: aidaq.berlin
Focus: A business-focused summit exploring enterprise-level AI adoption and responsible data use. Attendees gain insights into scaling AI models, data governance frameworks, and transforming analytics into strategic advantage.
5.BIG DATA LDN: Analytics & AI Under One Roof
Location: London, United Kingdom (Olympia London)
Date: September 23 – 24, 2026
Website: bigdataldn.com
Focus: A leading UK-based event that brings the data and analytics community together for free-to-attend sessions, vendor showcases, and hands-on labs. Covering everything from data architecture to predictive analytics, Big Data LDN is ideal for both newcomers and experts in data-driven business.
6.Big Data Conference Europe 2025: A Practical Dive into AI, Data & Cloud
Location: Vilnius, Lithuania (Multikino, Ozas)
Date: November 18 – 21, 2025
Website: bigdataconference.lt
Focus: A four-day event uniting data engineers, scientists, and AI developers across Europe. It emphasizes practical workshops and technical sessions on AI, cloud computing, and MLOps—making it a hub for hands-on learning and networking.
7.Gartner Data & Analytics Summit Europe 2026: Redefining Data Strategy and Enterprise Intelligence
Location: London, United Kingdom (ExCeL London)
Date: May 11 – 13, 2026
Website:gartner.com/en/conferences/emea/data-analytics-uk
Focus: One of Europe’s most influential gatherings for data and analytics leaders, this summit explores enterprise-wide data strategy, AI governance, predictive analytics, and decision intelligence. Designed for senior executives, it provides actionable insights to help organizations harness data as a strategic business asset.
Conclusion
From academic breakthroughs in Granada to enterprise AI strategies in Berlin and London, Europe’s 2026 data science conference lineup reflects the continent’s leadership in innovation. Each event offers a unique lens — from technical deep dives to strategic insights — helping professionals navigate the fast-evolving landscape of AI and analytics.
As the momentum builds, the DSC Next Conference in Amsterdam continues to set the tone for Europe’s data-driven future, shaping meaningful conversations around responsible, scalable, and intelligent analytics.
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