Overview
The Data Science Conference Chicago 2027 is an annual, practitioner-focused gathering for people working in data science, artificial intelligence, analytics, and machine learning. Founded in 2015, the conference is designed as an independent technical forum where practitioners and technology leaders can meet as peers and discuss real-world problems without commercial promotion.
The event is aimed at data scientists, machine learning engineers, analytics practitioners, and technical executives and senior data experts. Its subject matter includes applied AI, deep machine learning methods, advanced analytics, foundational modeling, and the engineering involved in deploying scalable systems. The conference emphasizes practical implementation and operational needs, including those found in health, insurance, finance, and IT systems.
Date and venue
The 2027 conference is scheduled for May 27–28, 2027, at the Gleacher Center in downtown Chicago, Illinois, United States. The listed venue address is 450 North Cityfront Plaza Drive, Chicago, IL 60611. The event is presented as an in-person conference, with on-site hospitality and opportunities for attendees to network.
The page also lists future conference dates at the same venue: May 25–26, 2028, and May 24–25, 2029.
Program and format
The conference offers keynote addresses, technical tracks, practitioner presentations, and interactive question-and-answer panels. The page does not provide a detailed session-by-session agenda or identify speakers for the 2027 event. It does state that presentations focus on commercial applications of AI, machine learning, and analytics, with an emphasis on actionable technical depth rather than high-level summaries. The program is intended to address practical engineering challenges, from modeling through scalable architecture and deployment.
The organizers describe the event as vendor-free, sponsor-free, and recruiter-free. They do not accept corporate sponsorships, host marketing booths, set aside program time for sales pitches, or sell attendee information to marketing firms. This policy is intended to keep the content technical and networking centered on shared professional challenges.
Registration and attendee access
All registration passes provide the same access, with no VIP tiers or access upcharges. Included access covers the keynotes, technical tracks, practitioner presentations, and interactive Q&A. Attendees also receive post-event access to authorized presentation slides and digital technical decks at no additional cost. On-site hospitality includes catered breakfast and lunch, midday snack breaks, and evening networking drinks.
Returning delegates are offered a permanent $150 loyalty discount, according to the conference page. Completing a pass purchase means agreeing to the organizers’ corporate terms and conditions.
Practical information
The organizers direct visitors to the conference FAQ for logistics and event policies, and to the media library for footage from past conferences. The page highlights transparent access to schedules, venue logistics, and speaker information without requiring visitors to submit an email address, but does not include a detailed 2027 schedule or speaker roster in the available content.
