AI Governance for Data Executives

Are your data and AI quality efforts getting lost in development cycles? It's time to stop addressing symptoms and start creating a sustainable culture of quality for your Data & AI systems!

Join me for the next session in the AI Governance for Data Managers webinar series, where I'll be presenting the 7-Step Total Quality Management (TQM) + Evaluation-Driven Development (EDD) Cycleapplied specifically to critical systems like FNOL & Anomaly Detection Agents.

What you will learn:

• The Blueprint for Quality: How to integrate TQM and EDD to ensure continuous improvement in AI systems.
• Defining Success: Key activities in the PLAN phase, from capturing the Voice of Customer (VOC) to defining Critical-to-Quality (CTQ) requirements.
• Measuring Mastery: How to establish a comprehensive Rubric for Data and AI Systems covering Data Quality, Model Performance, and Compliance.
• Root Cause Revolution: Techniques like the Fishbone Diagram and 5 Whys Analysis to understand why quality gaps exist, moving beyond symptoms.

Don't let your AI governance be an act—make it a habit!