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Stop Chasing Shiny Objects-Make AI Work for You with Pedro Neto of HP

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Manage episode 506867773 series 2980876
Content provided by The Future of Supply Chain: a Dynamo Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Future of Supply Chain: a Dynamo Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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/


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

324 episodes

Artwork
iconShare
 
Manage episode 506867773 series 2980876
Content provided by The Future of Supply Chain: a Dynamo Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Future of Supply Chain: a Dynamo Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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/


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

324 episodes

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