Is Your Data AI-Ready?

Every organization wants AI to deliver results, but AI is only as capable as the data behind it. Join Cherry Bekaert for a practical look at what separates organizations that get real value from AI from those still waiting. We will cover the difference between generative and agentic AI, the data governance gaps most likely to hold an organization back, and a clear roadmap for building a unified, AI-ready data layer.

Learning Objectives:

• Distinguish between generative AI and agentic AI, including how each operates and the different risk and return profile of each
• Identify the data governance gaps most likely to hold back an AI initiative, including data silos, permissions sprawl and missing sensitivity labels
• Leave with a phased roadmap for moving from ungoverned data to a unified, AI-ready data layer

Who Should Attend

This program is designed for business and IT leaders responsible for data strategy, governance, or AI initiatives, including CFOs, controllers, IT directors, and operations leaders exploring how to prepare their organization's data for AI adoption.

CPE Accreditation

Delivery Method | Group Internet Based
Recommended CPE credit | 1 hour of CPE
Recommended Field(s) of Study | Information Technology
CPE Capability | Technical Expertise/Problem Solving
Prerequisites | None
Program Level | Basic
Advanced Preparation | None