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Innhold levert av Bruce Sinclair. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bruce Sinclair eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Value Creation from Using AI Inspection in Manufacturing

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Manage episode 340189504 series 1316969
Innhold levert av Bruce Sinclair. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bruce Sinclair eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Our guest Daniel Young is Senior Manager of Product Standards at Toshiba America and is part of Toshiba’s global Digital Innovation Team that is focused on accelerating the growth of Industrial IoT systems and developing best practices using industry standards. In this episode, Daniel and Bruce discuss:

  • The benefits of eliminating (subjective) human judgement.
  • The unexpected but important HR benefits from improving defect inspection efficiency.
  • Applicable use cases and industries for this type of AI inspection.
  • The cost and time to implement an AI/machine learning inspection system.
  • Different tech architecture options to implement machine learning inspection within the manufacturing facility.
  • The role of inspection and AI standards.

Related links you may find useful:

  continue reading

141 episoder

Artwork
iconDel
 
Manage episode 340189504 series 1316969
Innhold levert av Bruce Sinclair. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bruce Sinclair eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Our guest Daniel Young is Senior Manager of Product Standards at Toshiba America and is part of Toshiba’s global Digital Innovation Team that is focused on accelerating the growth of Industrial IoT systems and developing best practices using industry standards. In this episode, Daniel and Bruce discuss:

  • The benefits of eliminating (subjective) human judgement.
  • The unexpected but important HR benefits from improving defect inspection efficiency.
  • Applicable use cases and industries for this type of AI inspection.
  • The cost and time to implement an AI/machine learning inspection system.
  • Different tech architecture options to implement machine learning inspection within the manufacturing facility.
  • The role of inspection and AI standards.

Related links you may find useful:

  continue reading

141 episoder

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