If Everyone Has AI, Where is the Advantage?
1 October
8:30am – 5:00pm (ET)
Practical Case Studies
Hear practical case studies showcasing examples of creating value with data in leading organizations.
Exclusive Peer Networking
Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.
Focused Small-Group Discussions
Participate in focused, small group discussions, allowing to dive deeper into the subject.
Hear practical experiences from executives leading AI, data and analytics transformation inside some of the world’s largest organizations.
“The most valuable event I’ve attended.”
Chief Data Scientist, BMW
“A rare opportunity to learn openly from peers facing the same challenges.”
Director Analytics, Brenntag
“I left with ideas I implemented the following week.”
Head of Governance, IKEA
“A premier forum for candid discussion among peers.”
Director Data, Mondelez
Welcome from DataIQ
Introductions and event objectives.
Overview of the Peer Exchange format.
Meet the expert facilitator, Justin Heller, DataIQ
Randy Bean, Data & AI Industry Pioneer | Ex Founder & CEO | Noted Author & Speaker | AI & Data Leadership | Human Impact of AI | Advisor & Board Roles | Trusted Advisor to the Global Chief Data & AI Officer Community for 2 Decades
Organizations are no longer defined by how well they generate insights, but by how effectively those insights shape decisions and drive outcomes. Data and AI leadership is shifting from insight delivery to decision ownership. Drawing on insights from DataIQ’s “The Rise of Decision Intelligence” report and Randy Bean’s “2026 AI & Data Leadership Executive Benchmark Survey”, this session will set the basis for conversations throughout the Peer Exchange.
Dr Tarun Sood, Chief Data Officer, American Century Investments
Explore in this session the shifts in data and AI leadership requiring senior executives to focus on owning decision outcomes, making AI functional and operational across the organisation, delivering at scale and acting as agents for organizational change
Scott Richardson, Chief Data & Analytics Officer, First Citizens Bank
As organizations move from experimentation to operational execution, the pressure to scale AI is increasing faster than the systems, workflows, and governance structures underneath it.
The challenge is no longer access to models or insight. It is whether organizations are structurally prepared to operationalize intelligence consistently, responsibly, and at scale. As intelligence moves closer to execution, leaders are navigating growing tension between speed and stability, experimentation and accountability, and visibility and operational readiness.
The most advanced organizations recognize that accelerating AI without strengthening the underlying system increases risk rather than value. Foundations, governance, workflow redesign, and leadership alignment are becoming critical dependencies for scaling decision intelligence successfully.
Deepak Jose, Vice President – Head of Data & Decision Intelligence
As AI moves from experimentation to enterprise-wide adoption, organizations need to rethink the foundations, operating models and leadership required to make it work at scale. This session explores how to build AI-ready data foundations, make AI agents functional and reliable, and create the cross-functional enterprise models needed to embed AI into everyday business.
Examine how data, AI, technology and business leaders can work together, establish clear accountability and move beyond pilots to turn AI into a scalable capability that delivers measurable business value.
Aravind “Jag” Jagannathan, Single Family Vice President and Chief Data Officer, Freddie Mac
Impact depends on how intelligence is integrated into the flow of work. Organizations that succeed redesign workflows so that decisions are made in context, with reduced friction and less reliance on manual interpretation. If workflows remain unchanged, intelligence remains optional.
To keep discussions relevant and confidential, every application is reviewed.
Attendance is limited to senior data, analytics and AI leaders from enterprise end-user organizations. That ensures everyone in the room shares comparable challenges and can speak openly. Service providers and consultants will not be eligible to attend.
