In this episode of Future Finance, Paul Barnhurst and Glenn Hopper sit down with Dave Trier, CEO of ModelOp, to discuss how enterprises can govern, manage, and operate AI at scale. Dave shares insights on implementing AI responsibly, tracking ROI, managing risks, and creating an enterprise-wide AI portfolio that drives value while ensuring compliance and governance.
Dave Trier leads ModelOp with a focus on customer value, product innovation, and enterprise execution. With over 20 years in data science, AI, analytics, cloud, and enterprise software, he brings technical expertise and a pragmatic leadership style, helping CIOs, CTOs, and AI leaders deploy AI effectively across organizations .
In this episode, you will discover:
- How enterprises can scale AI responsibly and reliably
- The CFO’s role in AI oversight and portfolio management
- Measuring AI value through ROI, usage, and internal feedback
- Distinctions between AI governance and traditional data governance
- Importance of change management and structured AI adoption
Dave provides a framework for enterprise AI adoption, emphasizing disciplined management, measurable impact, and alignment with regulatory and operational requirements. This episode is essential for finance and tech leaders looking to integrate AI at scale while ensuring oversight, efficiency, and business value .
Follow Dave:
Website: https://www.modelop.com/
LinkedIn: https://www.linkedin.com/in/davidetrier/
Follow Glenn:
LinkedIn: https://www.linkedin.com/in/gbhopperiii
Follow Paul:
LinkedIn: https://www.linkedin.com/in/thefpandaguy
Follow QFlow.AI:
Website - https://bit.ly/4i1Ekjg
Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.
Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.
In Today’s Episode:
[00:00] – Trailer
[02:38] – AI Compliance & Governance Challenges
[04:35] – Distinction Between AI & Data Governance
[07:28] – Measuring AI Value & ROI
[12:41] – Treating AI as a Portfolio of Investments
[15:05] – Change Management & Enterprise Adoption
[17:39] – Wild West of AI & Need for Rigorous Processes
[18:54] – CFO Oversight in AI Implementation
[21:00] – Closing Remarks
