This panel explores how AI agents are being developed and deployed to anticipate, prevent, and respond to issues in real time through data-driven insights - with a focus on the governance, ethics, and architecture behind such predictive systems.

Despite the term “predictive policing” being traditionally tied to law enforcement, in this context it can be repurposed as a metaphor for proactive anomaly detection, risk forecasting, and compliance enforcement across enterprise domains.

The panel's theme is how AI agents are being used to "patrol the data landscape" — identifying patterns, flagging risks, enforcing policies, and surfacing actionable insights before problems occur.

Discussion Points:
• What does predictive policing mean in the enterprise context?
• How do autonomous agents patrol digital environments?
• Case Studies and Use Cases
• Ethical Considerations and Risk

Mini Jam LIVE, Q2 2025: AI Agents of Change: Automation, Innovation & Adaptation