AI Governance in Practice: Operationalizing Governance for Enterprise AI
Webinar Speaker: David Loshin, President of Knowledge Integrity
Date: Wednesday, April 30, 2025
Time: 1:00 p.m. PT / 4:00 p.m. ET
Organizations are rapidly learning about the myriad benefits of adopting maturing artificial intelligence (AI) capabilities. However, integrating AI into the enterprise carries with it vulnerabilities that can lead to negative outcomes, such as leaking sensitive information, producing unfair or harmful responses, and regulatory non-compliance, not to mention impaired decision-making due to model confabulation/hallucination or automation bias.
AI standards must be established for input quality, access control, and trustworthiness. Ensuring adherence to those standards requires dedicated governance tactics to be applied consistently across the end-to-end life cycle—from data preparation and self-service analytics to machine learning and generative AI applications or projects.
Organizations need to develop a framework that enables transparency and accountability around AI models, while they use the right tools and infrastructure to maintain visibility into AI governance to reduce risk across the corporate AI portfolio. In this webinar, we explore the issues associated with operationalizing enterprise AI governance. Topics include:
- Centralizing AI oversight over end-to-end workflows and processes
- Maintaining an accurate and up-to-date lineage for AI workflows
- Instituting methods for traceability, transparency, and explainability of AI/ML models
- Operationalizing data protection and access controls
- Instituting quality controls over the information used to build, train, and fine-tune AI models
- Fully integrating and embedding governance policy compliance to protect against negative AI outcomes (e.g., noncompliance, data leakage, harmful content, inherent bias)
Guest Speakers
Ari Kaplan
Global Head of Evangelism
Databricks
Ari is Databrick's Global Head of Evangelism, and a leading influencer in data and AI. The popular movie Moneyball was partly based on Ari’s analytical and scouting experiences innovating Major League Baseball, and creating the Cubs, Dodgers, and Orioles analytics departments. He is coauthor of “The Data Intelligence Platform for Dummies”, DataIQ “Top 20 Influencer in AI” 2024, co-host of the popular “Live from the Lakehouse” show, and was President of the worldwide Oracle users group (22,000 members) when Oracle acquired MySQL, Java, and Peoplesoft. Before Databricks, he traveled the world with McLaren Formula 1, assisting the racing strategy team to bring AI models to production. He is also President of the Independent Investigation into the Fate of Raoul Wallenberg, Sweden's humanitarian hero, leveraging data analytics to find missing prisoners. Caltech awarded him as an "Alumni of the Decade," IBM a "Data Science Celebrity," and the History Channel made a documentary on one of Kaplan’s analytical investigations.
Triveni Gandhi
Senior Manager for Responsible AI
Dataiku
Triveni is a Jill-of-all-trades data scientist, thought leader, and advocate for the responsible use of AI who likes to find simple solutions to complicated problems. As Senior Manager for Responsible AI at Dataiku, she builds and implements custom solutions to support the responsible and safe scaling of AI. This includes hands-on training to put RAI principles into practice as well as change management programs that help business leaders translate ethical values into actionable indicators. Triveni also supports field product teams with innovative methods to govern and oversee complex AI problems - often serving as a technical bridge between subject matter experts and engineering. Triveni is the winner of VentureBeats Women in AI Awards in the category of Responsibility and Ethics in AI and is listed as 100 Brilliant Women in AI Ethics. She holds a Ph.D. in Political Science from Cornell University.
David Loshin