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Practically Deploying AI within your Smart Product or Process

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Manage episode 323056783 series 1316969
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair 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://player.fm/legal.

Our guest Manny Bernabe is the founder and CEO of bigplasma ai – which specializes in AI for Industry 4.0 applications and connected products. Manny has had roles ranging from data scientist at an AI unicorn start-up to investment analyst at a global financial services firm. In this episode, Manny and Bruce discuss:

  • Various AI and stats techniques.
  • Different AI techniques to make predictions.
  • Picking the right AI models and why simple is often more important than complex.
  • The importance of “data” in data science, especially for commercialization.
  • The three steps to implementing AI within your smart product or process (Industrie 4.0)
  • A medical device case study.
  • The time and cost to deploy AI within your smart product or process.

Related links you may find useful:

  continue reading

141 episodes

Artwork
iconShare
 
Manage episode 323056783 series 1316969
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair 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://player.fm/legal.

Our guest Manny Bernabe is the founder and CEO of bigplasma ai – which specializes in AI for Industry 4.0 applications and connected products. Manny has had roles ranging from data scientist at an AI unicorn start-up to investment analyst at a global financial services firm. In this episode, Manny and Bruce discuss:

  • Various AI and stats techniques.
  • Different AI techniques to make predictions.
  • Picking the right AI models and why simple is often more important than complex.
  • The importance of “data” in data science, especially for commercialization.
  • The three steps to implementing AI within your smart product or process (Industrie 4.0)
  • A medical device case study.
  • The time and cost to deploy AI within your smart product or process.

Related links you may find useful:

  continue reading

141 episodes

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