EARL 2026: Data Intelligence Conference

EARL 2026 brings three days of practical R, Python and AI/ML insight to Brighton, helping organisations turn advanced data capabilities into real-world impact. Running 6–8 October 2026, from 09:00 to 17:00 each day, this cross-sector international Data Intelligence conference explores how organisations are transforming decision-making, products and services through data. It takes place at the Leonardo Royal Hotel Brighton Waterfront, a seafront venue near Brighton Pier and The Lanes in Brighton. ## What to expect EARL stands for Enterprise Applications of the R and Python Language. While the conference retains its strong roots in the R and Python communities, its 2026 programme broadens the conversation to reflect the fast-changing data intelligence landscape. Abstracts span R, Python, SQL, Rust and modern AI/ML tooling, with a consistent emphasis on practical applications and commercial impact. Across the three-day programme, attendees can expect: - Presentations demonstrating data intelligence in practice - Workshops covering relevant methods, platforms and techniques - Keynotes addressing developments across data, analytics and technology - Sessions focused on R, Python, analytics and AI/ML tooling - Dedicated opportunities to meet practitioners, technology leaders and data-driven organisations The complete agenda and speaker line-up are still to be announced, making this an early opportunity to secure a place before the detailed programme is published. ## Who should attend? The conference is designed for a broad professional audience, from members of the R and Python communities and hands-on data practitioners to senior data and technology leaders. It will also be relevant to organisations already applying data-driven innovation,or seeking practical examples of how advanced analytics and AI can improve decisions, services and products. Its cross-sector and international focus should make EARL particularly valuable for attendees who want to compare approaches beyond their own industry, discover how different teams are deploying modern data capabilities, and build relationships across the wider analytics community. ## Tickets and venue… Register for this event