Expert Panel: AI Governance in Practice: Balancing Innovation, Risk, and Responsibility
Webinar Speaker: TBD
Date: Monday, February 2, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations increase their use of AI, the need for effective AI governance has become much more important. TDWI research finds that, unsurprisingly, AI governance is only just beginning in most enterprises. While effective data governance provides a foundation for AI governance, AI governance raises its own challenges.
For instance, in addition to overseeing the quality and integrity of data inputs and outputs, AI governance must also monitor fairness, bias, transparency, and explainability, which are key to ensuring responsible outcomes. AI governance also deals with a new asset that is just as important as the data—the code that constitutes the models. These models must be versioned, monitored, and updated, plus meet an evolving list of compliance requirements.
In this expert panel webinar, we’ll explore how organizations are developing practical frameworks for AI governance that balance innovation, risk, and responsibility and the tools that can help. Topics include:
- Key differences between data governance and AI governance
- Approaches for governing data, models, and code
- Strategies for managing bias, fairness, and explainability
- Examples of governance tools and frameworks supporting responsible AI innovation
Date: February 2, 2026
Time: 9:00 am PT