DATE: June 18, 2025

TIME: 8:00 AM – 9:45 AM Pacific / 11:00 AM – 12:45 PM Eastern

PRICE: Free to all attendees

Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Governance program’s success.

Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.

Session 1: Accelerate Your AI Governance Journey 

AI governance is quickly becoming a critical extension of data governance in the enterprise, addressing the unique risks and complexities introduced by AI systems. But while data governance ensures data quality, integrity, and compliance, AI governance further builds on this foundation to drive how that data is used in model development, decision-making, and automation. AI governance encompasses the management of model transparency, accountability, fairness, and performance throughout the AI lifecycle so that you can trust your results with confidence and accelerate AI market readiness at scale. 

Session 2: AI Governance Is No Different – or Is It? 

The answer is yes -and no. Our upcoming demo highlights a cutting-edge, flexible, and adaptable data governance solution tailored for AI governance. This solution can be easily configured to meet stringent regulatory standards, and we will share some of those best practices that align with the most recent requirements across the world, including the EU AI act.

Key capabilities that you will see:  

• Centralized AI Model Management Monitor all of your AI models from a single data catalog to standardize and simplify model governance and management.
• Flexible and configurable governance metamodel: Best practice requirements will be demo’d from major governing bodies around the world that many competitors cannot match.
• Robust Workflow and Lifecycle Visibility: Provides end-to-end visibility and accountability to engage AI business partners involved in AI model approval, monitoring, and oversight.
• Enhanced Data Readiness and Quality: Robust integration, data quality, and observability capabilities to ensure that data is fully AI-ready, optimizing model training and performance