Where Data Meets Decision-Making: Inside Chicago Data Night

Chicago Data Night has become a cornerstone of Chicago’s data and AI community, bringing together professionals and academics for technically rigorous and timely conversations. Since its start in fall 2023, the series has featured speakers spanning cutting-edge research and real-world industry applications, creating a forum where ideas translate into practice and a community that shares learnings across sectors through conversation. 

Cross-sector insights from evaluation to implementation

This year’s Chicago Data Night series opened with a talk from UChicago professor Haifeng Xu, setting the tone for a program focused on how data science and artificial intelligence are being applied in practice. Demonstrating his new platform, Prophet Arena, Professor Xu modeled how AI is shaping decision-making, transforming organizations, and raising new questions about trust, value, and human judgment. 

A consistent theme across sessions was the shift from building models to building systems that actually work in the real world. Speakers like Milan McGraw, Head of Generative AI and Machine Learning at Amazon Web Services (AWS), emphasized the complexity of deploying AI in production environments, where questions of reliability, evaluation, and integration often matter more than raw model performance. Discussions highlighted how organizations are navigating this transition, developing internal capabilities, rethinking workflows, and building infrastructure that supports sustained, scalable use of data and AI.

Another throughline was the evolving role of data in decision-making. Rather than focusing solely on prediction or automation, several speakers, including Gaston Messineo, partner at EY-Parthenon, explored how data systems can augment human judgment, support more informed choices, and reshape how organizations think about expertise. These conversations often pushed beyond technical considerations, raising broader questions about how decisions are made, who is accountable, and how to design systems that are both effective and trustworthy.

The series also surfaced growing interest in how organizations understand and extract value from their data. Across discussions of data markets, data infrastructure, and governance, speakers examined how companies can better organize, connect, and operationalize their data assets. Discussions of emerging approaches, including Neo4j CTO, Philip Rathle’s talk on knowledge graphs, shared new insights on how companies can overcome limitations imposed by data silos. These sessions underscored that the challenge is not just having data, but knowing how to structure and use it in ways that drive meaningful outcomes.

Public sector participation added an important dimension to the 2025–2026 series. Jarvis Alexander, Director in FINRA’s (Financial Industry Regulatory Authority) Strategic Intelligence and Analytics organization, shared how thoughtful design and integration of the intelligence cycle can transform data usage and outputs, even and especially in regulated environments. Engaging attendees from the public sector, industry, and academia alike, these sessions reinforced the value of collaboration across sectors and the role that data science can play in advancing both economic and societal goals.

Growing Chicago’s data community

This year’s Chicago Data Night series welcomed nine speakers, drawing an average of 200+ registrations. Of the average 75 attendees, 60% came from industry, while 30% represented academia and a remaining 10% from civic organizations and other affiliations. Cross-sector participation remained consistently strong throughout the year, with a growing base of regularly returning attendees alongside new faces from industry, startups, academia, and the public sector.

“I come to Chicago Data Night regularly, and I almost always leave needing time to sit with what I’ve just heard,” said Patrick Quinn of AIM Consulting, a frequent attendee. “There’s a level of depth to the conversations that isn’t just interesting, it’s directly relevant to the work I’m doing and the conversations I’m having with clients every day. It’s one of the events where I know I’ll walk away with ideas I can actually use.”

“Chicago Data Night has become a space where people can engage deeply with ideas that do not always have easy answers, how to build systems that work in practice, how to think about data as an asset, and how to navigate the tradeoffs that come with deploying AI in real-world settings,” said Assistant Professor Raul Castro Fernandez, ChiData lead and event organizer. “What makes it especially valuable is the mix of perspectives in the room and the willingness to have thoughtful, grounded conversations about what is actually working and what still needs to be figured out.”

Looking ahead

Chicago Data Night will pause over the summer months and return in September to kick off the 2026–2027 series. As the program continues to grow, the Data Science Institute is exploring partnerships with organizations interested in shaping future programming and engaging directly with Chicago’s data and AI community. Companies interested in supporting Chicago Data Night for the upcoming year are encouraged to reach out to Anne Brown, DSI’s Director of Corporate Partnerships, to learn more.

By bringing together diverse perspectives and grounding discussions in real-world applications, Chicago Data Night continues to serve as a forum for thoughtful exchange and practical insight. The team looks forward to welcoming the community back this fall for another year of conversations at the intersection of data science, industry, and society. Keep an eye out for future events on the Data Science Institute events page and Meetup.