Prerequisite: None
Douglas Laney
Innovation Fellow, Data and Analytics Strategy
West Monroe
In this workshop, participants will explore key dimensions of data management maturity in their organization—particularly focused on AI readiness. From strategy and approach to leadership, measurement, organization, architecture, governance, deployment, and technology—evolving from a data-driven to an AI-enabled organization requires a balanced approach to incrementally yet urgently improving maturity.
You Will Learn
In this session, participants will:
- Learn key indicators for each maturity dimension and discuss how they relate to AI
- Share and discuss the challenges their organizations face with improving maturity in each dimension
- Share and discuss approaches their organizations have taken already to prepare their data and organizations for AI
- Self-rate their organization and identify opportunities and gaps
Geared To
- Data and analytics leaders
- Chief data officers
- Chief analytics officers
- Data and analytics program managers