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, Chief Data and AI Officer, Quantify Data Advisors
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.
Wendy Batchelder, Senior Vice President & Chief Data Officer, Centene Corporation
Explore in this session the four most obvious shifts in a leader focused on operational delivery to ensure intelligence systems are not only effective but consistently used at scale.
Peer Discussion (30 minutes)
Playback (10 minutes)
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.
Q&A (10 minutes)
Peer Discussion (35 minutes)
Playback (10 minutes)
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.
Q&A (10 minutes)
Peer Discussion (35 minutes)
Playback (10 minutes)
Deepak Jose, Vice President & Head of Data and Decision Intelligence, Niagara Bottling
Data and AI leaders are not simply advancing their organizations’ analytics capabilities. They are restructuring how decisions are made. This is not simply an expansion of scope. It is a change in accountability.
The competitive advantage in enterprise data and AI will not come from better dashboards or more sophisticated models. It will come from leaders’ ability to build trusted decision intelligence systems that continuously improve how the enterprise runs.
For leading organizations, the transition is already underway. What makes them stand out is not whether they use data and AI, but how effectively they embed intelligence into the decisions that drive their business.
Q&A (10 minutes)
Peer Discussion (35 minutes)
Playback (10 minutes)
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.
