During this episode, Santosh is joined by Pedro Neto, a supply chain data scientist at HP. Pedro discusses the real-world impact of generative AI on supply chain management. The conversation also explores practical opportunities for AI adoption, common challenges like model drift and data security, and the importance of starting with small, high-impact use cases. Pedro emphasizes the need for robust model evaluation, strong data governance, and empowering teams with accessible AI tools. Listeners will gain actionable insights on how to approach AI implementation, avoid common pitfalls, foster a culture of innovation within their organizations, and so much more.
Highlights from their conversation include:
- Pedro’s Introduction & Background (0:41)
- Opportunities and Challenges of Generative AI (3:00)
- AI Fatigue Among Practitioners (5:15)
- Prioritizing Gen AI in Supply Chain (7:39)
- Best Use Cases for Gen AI (10:28)
- Concrete Examples of Gen AI Impact (13:30)
- Handling Model Drift and Evaluation (16:45)
- Data Security and Governance in Gen AI (19:13)
- Keys to Successful AI Adoption (21:27)
- Rapid Fire: Overhyped AI, Irrelevant KPIs, and Dream Tools (23:26)
- Final Thoughts and Takeaways (25:37)
Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.
Find out more at: https://www.dynamo.vc/
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