As data and AI technologies rapidly evolve, the traditional separation between business operations and technical services is proving increasingly ineffective for leveraging data and the intelligence it carries at scale. The dual nature of data—both business-rule-driven and highly technical—calls for a fundamental redesign of how organizations deliver data services.

This workshop focuses on systematically transforming the data service model by removing structural barriers between business and technical functions. You will explore how to cultivate a new “domain expert” talent pool—professionals who bridge business knowledge and technical capability, accelerate data literacy, and dramatically improve data utilization across the organization.

These domain experts serve three essential functions:

- Optimizing workflows through effective use of data and AI products
- Providing expert consultation to both business and technical teams
- Coaching operational staff to raise everyday data competence

Through this model, data delivery shifts from fragmented, request-driven interactions to a coherent, demand-aligned service strategy. Organizations gain the ability to deliver the right data to the right users in the most efficient way—where it is needed and when it is needed.

By the end of this workshop, you will understand how to design and operationalize a modern data service model that strengthens governance, increases adoption, and ensures that investments in analytics and AI translate into sustained business impact.