

Stop Chasing Shiny Objects-Make AI Work for You with Pedro Neto of HP
10 snips Sep 17, 2025
Pedro Neto, a Supply Chain Data Scientist at HP with expertise in applying data science, shares his insights on the transformative potential of generative AI in supply chain management. He discusses practical opportunities for AI adoption, emphasizing the need to start with small, impactful use cases. The conversation also delves into challenges like model drift and data security, highlighting the importance of robust model evaluation and data governance. Listeners will learn how to foster a culture of innovation and avoid common pitfalls in AI implementation.
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AI As A New Way Of Working
- Generative AI is a new way of working, learning, and interacting rather than a single magic solution.
- It offers productivity gains but requires reconciling creativity with predictable, auditable outputs.
Diagnose Failures Before Dismissing AI
- Diagnose why a pilot fails by checking skills, model suitability, integration, and data issues before abandoning it.
- Stay humble because changing one variable can flip a failed experiment into success quickly.
Three-Part Prioritization For AI
- Prioritize people, tech stack, and simple AI data governance when planning AI adoption.
- Start with high-ROI, low-friction use cases and avoid chasing shiny objects for their own sake.