As data science continues to shape decision-making across industries, 2026 is set to be a pivotal year for innovation in analytics, artificial intelligence, and data-driven strategy. From enterprise-focused summits and hands-on technical conferences to academic research forums, data science events in 2026 offer unparalleled opportunities to learn from global experts, explore emerging technologies, and build meaningful professional connections. Whether you are a data scientist, AI engineer, business leader, or researcher, attending the right conferences can help you stay ahead in a rapidly evolving data ecosystem.
DSC NEXT Conference 2026
Location: Amsterdam, Netherlands
Date: May 7-8, 2026
This second edition launches Europe’s data science calendar as a vendor-neutral event for data professionals, emphasizing expert workshops, AI/ML case studies, and talks on generative AI, autonomous systems, responsible AI, and data platforms.
DSC NEXT holds special relevance for professionals at the intersection of data, AI models, and decision intelligence.
Gartner Data & Analytics Summit 2026
Location: London, UK
Date: March 9–11, 2026
A flagship event for senior data and AI leaders, this summit focuses on analytics strategy, data governance, operating models, and next-generation data platforms. Ideal for CDOs, analytics heads, and enterprise decision-makers.
Big Data & AI World Europe 2026
Location: London, UK
Date: March 4–5, 2026
Part of the global Big Data & AI World series, this conference brings together enterprise AI case studies, cloud-based data solutions, and large-scale data infrastructure innovations.
ODSC AI East 2026
Location: Boston, Massachusetts, USA
Date: April 28-30, 2026
A hybrid event offering both in-person and virtual participation. Organized by the Open Data Science Conference (ODSC), the event focuses on practical applications of artificial intelligence, machine learning, and data science, featuring hands-on training sessions, workshops, and expert-led talks by industry practitioners and academic researchers.
NVIDIA GTC 2026
Location: San Jose, California, USA
Date: March 16–19, 2026
One of the world’s most influential AI conferences, NVIDIA GTC highlights breakthroughs in AI hardware, deep learning, data science, robotics, and accelerated computing.
Data Innovation Summit Europe 2026
Location: Kistamässan, Stockholm, Sweden
Online Platform: AGORIFY
Date: May 6–8, 2026
Known for bridging business intelligence and AI innovation, this summit features tracks on MLOps, data mesh, cloud-native analytics, and ethical AI—ideal for cross-functional data teams and business leaders.
The Data Science Conference (TDSC) – Chicago 2026
Location: Chicago, USA
Date: May 28–29, 2026
A vendor-free conference offering hands-on training and practical sessions in data science, analytics, and AI, with a strong focus on applied learning.
DATA Festival Munich 2026
Location: Munich, Germany
Date: June 16–17, 2026
A practitioner-focused event centered on applied AI, MLOps, and real-world data solutions, attracting engineers, analysts, and data-driven innovators.
7th International Conference on Data Analytics & Management (ICDAM-2026)
Location: London Metropolitan University, UK
Date: June 12–14, 2026
An academic, Scopus-indexed conference covering data analytics, AI, and networked systems—well suited for researchers, scholars, and postgraduate students.
BIG DATA LDN 2026
Location: Olympia,London
Date: September 23–24, 2026
A leading UK data and analytics conference focused on data strategy, architecture, analytics, and AI adoption across enterprises.
Looking Ahead
Data science conferences in 2026 reflect the field’s increasing maturity, blending advanced technical skills with ethical AI, scalable data platforms, and real-world applications. From Europe’s practitioner-focused DSC NEXT to global events like NVIDIA GTC and Gartner’s Data & Analytics Summit, these gatherings cater to diverse needs across the data lifecycle.
Attending the right 2026 conferences boosts skill-building, networking, and actionable insights that drive long-term professional impact.
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