The rapid convergence of data, AI, and ethics is no longer a theoretical debate — it is shaping how enterprises operate, innovate, and compete in real time. At the 2025 Chicago Leadership Summit on September 10, data and AI leaders will not only share strategies for balancing innovation with responsibility but also create unmatched opportunities for attendees to connect, collaborate, and build relationships with peers facing similar challenges.

This highly anticipated breakout session — The Convergence of Data, AI, and Ethics in the Modern Enterprise — is more than a forum for ideas. It’s a place where executives can exchange perspectives, spark partnerships, and gain actionable insights that will shape their own AI journeys.

“The Chicago Leadership Summit is as much about connection as it is about content,” says Lexy Smith, Program Director, CDO Magazine. “These sessions are designed to create spaces where leaders can engage deeply, share experiences, and leave with not just strategies but also relationships that drive real-world impact.”

Why this session matters

Enterprises today face a dual challenge: scaling AI for competitive advantage while ensuring compliance, transparency, and ethical decision-making. As companies embed AI into workflows and move toward agentic AI systems, leaders must rethink data strategies, governance models, and ethical frameworks — and conversations with peers at this session could spark the collaborative solutions needed to sustain trust and deliver measurable value.

This breakout session will provide practical insights into:

• Preparing enterprise data for AI-driven insights.
• Navigating the regulatory and ethical landscape of AI in high-risk industries.
• Building a culture of responsible innovation that balances speed with governance.
• Redefining the modern data experience to empower users securely.

Who you’ll hear from:

• Grant Ecker, Ecolab VP, Enterprise Architecture
• Sabrykrishnan Loganathan, Peloton AI & App Security Advisor
• Shawn Tumanov, GEICO Data, Model and AI Executive
• Anthony Wong, Lurie Children’s Hospital Research Scientist

Moderator: Kelley Jarrett, SVP, Strategy, Operations and Enablement, ThoughtSpot 

These speakers represent diverse industries — from healthcare to financial services to consumer brands — bringing a broad perspective on the ethical, regulatory, and data challenges of enterprise AI adoption.

The bottom line

This is more than a panel discussion — it’s a roadmap for how modern enterprises can turn the convergence of data, AI, and ethics into a competitive advantage while safeguarding trust. Whether you’re a Chief Data Officer, business executive, or AI practitioner, this breakout will deliver the strategic guidance and real-world examples you need to lead responsibly in the AI era.