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5 Things to Check Before Rolling Out Manufacturing AI

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Manage episode 477354904 series 3568924
Content provided by Augury, Inc.. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Augury, Inc. 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://ppacc.player.fm/legal.

AI is transforming manufacturing—and it goes beyond predicting equipment failures. AI is revolutionizing everything from quality control to safety monitoring, training, and inventory management in real time.

But before you fall in love with and roll out the technology, they stress there are five things you need to keep in mind:

  • Identifying the real problem (not symptoms)

  • Verifying your data quality and accessibility

  • Confirming strategic alignment of the solution against business goals

  • Establishing monitoring capabilities

  • Ensuring the ability to act on insights

Of course, successful adoption requires a cultural shift, too. As Alvaro notes, if AI is not improving the lives of the workforce, something is wrong, and it needs to be fixed.

Other highlights include:

  • Why running faster doesn't always mean better results

  • How to avoid "automating the wrong process"

  • The danger of falling in love with technology before identifying the problem

To keep the conversation going: Email us: [email protected] Find us on The Endpoint: endpoint.augury.com

Download the full podcast here: Apple SpotifyAmazon MusiciHeart RadioYouTube Music (formerly Google Play)

  continue reading

21 episodes

Artwork
iconShare
 
Manage episode 477354904 series 3568924
Content provided by Augury, Inc.. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Augury, Inc. 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://ppacc.player.fm/legal.

AI is transforming manufacturing—and it goes beyond predicting equipment failures. AI is revolutionizing everything from quality control to safety monitoring, training, and inventory management in real time.

But before you fall in love with and roll out the technology, they stress there are five things you need to keep in mind:

  • Identifying the real problem (not symptoms)

  • Verifying your data quality and accessibility

  • Confirming strategic alignment of the solution against business goals

  • Establishing monitoring capabilities

  • Ensuring the ability to act on insights

Of course, successful adoption requires a cultural shift, too. As Alvaro notes, if AI is not improving the lives of the workforce, something is wrong, and it needs to be fixed.

Other highlights include:

  • Why running faster doesn't always mean better results

  • How to avoid "automating the wrong process"

  • The danger of falling in love with technology before identifying the problem

To keep the conversation going: Email us: [email protected] Find us on The Endpoint: endpoint.augury.com

Download the full podcast here: Apple SpotifyAmazon MusiciHeart RadioYouTube Music (formerly Google Play)

  continue reading

21 episodes

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