AI Value Realization Beyond Deployment
Many organizations have successfully deployed AI tools, but achieving measurable business outcomes requires a stronger focus on operational execution, process transformation, and long-term value realization.
Identifying and Removing AI Dependencies
From data access and governance to security, skills, and executive alignment, organizations must address a range of interconnected dependencies that can slow AI adoption and limit impact.
Designing an Effective AI Operating Model
As AI becomes embedded into everyday business processes, leaders must establish the right frameworks for governance, accountability, trust, automation, and human oversight.
Scaling Sustainable AI Transformation
Organizations are exploring how to create the conditions for lasting AI-driven transformation by aligning technology, operations, funding, risk management, and organizational change around shared business goals.
Event agenda
12:00 – 1:00 PM
1:00 – 1:15 PM
1:15 – 2:45 PM
2:45 – 3:00 PM
Learn how leading organizations are moving beyond AI deployment to achieve measurable business outcomes and sustainable value from their investments.
Benchmark your approach against peers and uncover the technical, operational, and organizational dependencies that often slow AI success.
Participate in interactive discussions and workshop exercises designed to help identify the biggest barriers to AI value realization within your own organization.
Leave with practical insights into AI operating models, governance frameworks, and transformation strategies that can help accelerate adoption at scale.
This event is designed for enterprise technology and data leaders, as well as CIOs, CTOs, and CAIOs, who are responsible for their organizations AI transformation.
