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Bridging the Gap: How AI and Automation Are Transforming Manufacturing Operations with Dag Calafell

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Manage episode 522143363 series 2854299
Content provided by Lisa Ryan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lisa Ryan 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.

In this episode of The Manufacturers Network Podcast, Lisa Ryan talks with Dag Calafell, a 25-year technology veteran helping global manufacturers modernize through Microsoft solutions. Dag shares how his early days as a developer at Parker Hannifin led him to his current role at MCA Connect, where he works with manufacturers to turn digital transformation into practical results.

They dig into where AI and automation actually move the needle in manufacturing, the hesitation many leaders still feel about new technology, and how companies can connect plant-floor data with back-office systems. Dag and Lisa explore everything from AI-powered cost tracking and maintenance insights to how internal hackathons can fuel innovation and upskill teams.

Key Takeaways:

  • A strong data foundation is critical for any AI or automation success.
  • AI and automation can ease workforce shortages and improve agility.
  • How manufacturers are using AI for production costing, defect detection, and predictive maintenance.
  • Treating AI initiatives like continuous improvement projects rather than one-time fixes.
  • The power of cross-functional collaboration and shared learning in tech adoption.
  • Why ROI timing matters more than having the newest technology.

Memorable Moment: “AI doesn’t have to replace people, it can make the work we already do smarter. The key is treating it like continuous improvement, not a one-time project.” — Dag Calafell

Connect with Dag Calafell: MCAConnect.com

Connect with Lisa Ryan: LisaRyanSpeaks.com

👉 LinkedIn: Lisa Ryan, CSP

  continue reading

198 episodes

Artwork
iconShare
 
Manage episode 522143363 series 2854299
Content provided by Lisa Ryan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lisa Ryan 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.

In this episode of The Manufacturers Network Podcast, Lisa Ryan talks with Dag Calafell, a 25-year technology veteran helping global manufacturers modernize through Microsoft solutions. Dag shares how his early days as a developer at Parker Hannifin led him to his current role at MCA Connect, where he works with manufacturers to turn digital transformation into practical results.

They dig into where AI and automation actually move the needle in manufacturing, the hesitation many leaders still feel about new technology, and how companies can connect plant-floor data with back-office systems. Dag and Lisa explore everything from AI-powered cost tracking and maintenance insights to how internal hackathons can fuel innovation and upskill teams.

Key Takeaways:

  • A strong data foundation is critical for any AI or automation success.
  • AI and automation can ease workforce shortages and improve agility.
  • How manufacturers are using AI for production costing, defect detection, and predictive maintenance.
  • Treating AI initiatives like continuous improvement projects rather than one-time fixes.
  • The power of cross-functional collaboration and shared learning in tech adoption.
  • Why ROI timing matters more than having the newest technology.

Memorable Moment: “AI doesn’t have to replace people, it can make the work we already do smarter. The key is treating it like continuous improvement, not a one-time project.” — Dag Calafell

Connect with Dag Calafell: MCAConnect.com

Connect with Lisa Ryan: LisaRyanSpeaks.com

👉 LinkedIn: Lisa Ryan, CSP

  continue reading

198 episodes

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