As organizations face mounting pressure from the C-suite to deliver on AI initiatives, the “garbage in, garbage out” problem has never been more critical. Traditional data engineering and rules-based data quality tools are no longer enough; companies must get their “house in order” with a framework that ensures data quality across both structured and unstructured environments.In this live panel, experts from CDW and Anomalo will explore how to move beyond basic data engineering toward a robust, AI-ready governance strategy. We will dive into the Minimum Viable Data Governance (MVDG) approach and discuss how to transform data quality from an “internal compromise” into a strategic advantage.

Join us live to discover how:

• Implement Minimum Viable Data Governance (MVDG): Learn how to establish the minimum critical controls needed to create an AI-ready data estate without the burden of maintaining thousands of manual rules.
• Operationalize Governance: CDW shares real-world strategies for turning data strategy into execution, including their lightweight Data Quality Assessment, to reduce risk and meet compliance requirements

Register now to get a clear blueprint for MVDG and accelerate your journey toward trustworthy AI innovation.

Speakers