Video
Getting the Data House in Order for More Effective AI: Implementing Defensible Disposal in Practice
As organizations accelerate their use of AI across core business functions, the quality, integrity, and governance of their data have never mattered more. In this panel conversation, a litigator who has defended disposal programs in court, a forensics and implementation expert, and an in-house practitioner who has built these programs from the inside explore why strong information governance programs, especially defensible disposal, are becoming essential foundations for trustworthy, efficient, and compliant AI adoption.
Attendees will gain actionable insights and strategies for overcoming common challenges and building a defensible disposal process within their organizations.
The conversation covers:
- How unmanaged data increases operational and legal risk
- How disciplined disposal practices improve AI performance and what steps enterprises can take to modernize governance strategies for an AI‑driven future
- The practical realities of implementing defensible disposal programs including common hurdles such as data silos, stakeholder buy-in, technology integration, and managing exceptions