Ep171: Responsible Business Innovation with Generative AI

AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deployment

Demandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidential

Highspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessments

Real-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactions

Companies create "second-party data" networks where customers opt-in to share insights collectively

Open-source models gain traction but require significant expertise for enterprise-grade implementation

EU AI Act mandates human oversight, reshaping how companies design AI systems globally

Archer's Kayvan Alikhani extends identity management principles from web applications to AI agents

Unattended AI agents performing tasks autonomously create new security and accountability challenges

Human-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customers

Future challenge: Determining when AI accuracy justifies removing costly human oversight

Enterprise data hygiene becomes critical as AI systems need clean, reviewed internal data