
AWS for Software Companies Podcast Ep171: Responsible Business Innovation with Generative AI
Nov 14, 2025
39:52
Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.
Topics Include:
- 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
Participants:
- Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk Management
- Umberto Milletti - Chief R&D Officer, Demandbase
- Oliver Sharp - Co-Founder & Chief AI Officer, Highspot
- Brian Shadpour - General Manager, Security, Amazon Web Services
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
