Conference Description
Key Takeaways
- One-day conference focused on aligning modern data architectures with AI-driven business innovation
- Designed for enterprise leaders, data professionals, IT managers, and executives responsible for AI and data strategy
- Covers data governance, AI Centers of Excellence, decision intelligence, and democratizing AI for business users
- Educational format with CPE, CEU, and PDU credits available
- Held at the Donald E. Stephens Convention Center in Rosemont (O’Hare), Illinois
About the Event
AI / Data Innovation Strategies is a one-day, in-person conference addressing how organizations can rethink data discovery, sharing, governance, and transformation to generate actionable intelligence. The program focuses on building business-first approaches to AI and data rather than technology-first implementations, with sessions structured around practical strategies for achieving measurable business outcomes.
The conference format includes sessions, panels, and networking breaks. Sponsor representatives are available for informal conversations, though product presentations are excluded from the speaking program. Attendees can earn continuing professional education credits.
Key Topics
- Building business-first AI and data strategies
- Enterprise data accessibility and usability
- Data marketplaces and data sharing frameworks
- Decision intelligence and AI-driven decision support
- AI Centers of Excellence and governance structures
- Data storytelling and visualization techniques
- Democratizing AI tools for non-technical business users
- Lessons from enterprise AI transformation initiatives
Business Challenges Addressed
The conference targets organizations struggling to align AI initiatives with business goals, improve data accessibility while maintaining governance, and scale AI capabilities across departments. Sessions also address how to communicate AI insights effectively to business leaders and how to empower non-technical users with AI tools without sacrificing oversight and control.
Who Should Attend
The event is designed for enterprise leaders, data and analytics professionals, IT managers, business analysts, data scientists, and executives with responsibility for AI strategy, data management, or digital transformation. Attendees typically come from IT, data, analytics, and business strategy functions within medium to large organizations.