Today's guest is Hemant Banavar, Chief Product Officer at Motive. Hemant leads product strategy for AI-driven systems that bring real-time visibility and decision support to safety-critical physical operations. Hemant joins Emerj Editorial Director Matthew DeMello to unpack what changes when AI moves from after-the-fact reporting to edge-based, real-time detection and feedback — where accuracy and low latency determine whether insights actually prevent incidents. Hemant also shares practical takeaways on replacing lagging indicators with frontline feedback loops, combining video and operational telemetry to surface actionable risk signals, and building an ROI case through fewer incidents, lower insurance and fuel costs, and more consistent operational performance. This episode is sponsored by
Motive. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show. Episode Notes:
- 12:33 - 12:50: Since January 1, 2023, Motive estimate that the Motive AI Dashcam is estimated to have helped prevent over 170,000 accidents and saved 1,500 lives
- 12:46: Based on an internal study of customers with 150 or more active monthly vehicles and at least 90% AI Dashcam adoption for at least 12 months.
- Some of the AI Dashcam Plus features like hands-free communication aren't available until later in 2026. For more, visit: https://gomotive.com/blog/introducing-ai-dashcam-plus/
