Conference Description
Key Takeaways
- One-day conference focused on transitioning enterprise AI from pilot programs to scalable, production-ready deployment
- Designed for Chief Data Officers, CIOs, AI/ML leaders, data architects, and business transformation managers
- Covers data readiness, organizational change management, and responsible AI adoption including transparency and bias management
- Features real-world lessons from organizations that have successfully operationalized AI initiatives
About the Event
AI / Data Innovation Strategies is an in-person conference held at the Donald E. Stephens Convention Center in Rosemont (O’Hare), Illinois. The event brings together enterprise leaders to examine what it takes to move AI projects from experimentation to effective execution at scale. The format includes keynote sessions, panel discussions, and networking breaks.
Enterprise AI Execution Challenges
Many organizations struggle to advance AI beyond isolated pilot programs. The conference addresses common barriers: fragmented data environments that undermine model performance, misalignment between AI initiatives and business priorities, and the organizational resistance that stalls enterprise-wide adoption. Sessions explore how to build the data foundation, cross-functional skills, and repeatable processes required for AI to deliver measurable business value.
Key Topics
- Enterprise AI strategy and alignment with business goals
- Data quality and readiness for AI workloads
- Organizational change management for AI adoption
- Responsible AI practices: transparency, explainability, and bias management
- Building trust in AI-driven decisions
- Scaling AI from pilot to enterprise deployment
Who Should Attend
The conference targets enterprise data, AI, and IT leaders from large and mid-sized organizations. Relevant roles include Chief Data Officers, Chief Information Officers, Heads of AI/ML, Data Architects, IT Directors, Analytics Leads, and business transformation managers responsible for operationalizing AI initiatives.