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E59: Can AI Become a Trusted Tool for Industrial Field Workers?

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Manage episode 497103780 series 2398466
Content provided by Ask AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ask AI 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.

In this episode, Ask AI host Elena Putilina talks with Gabe Batstone, CEO and co-founder of Contextere, about the future of “blue collar AI.”

Gabe explains how their AI copilot, Madison, empowers industrial workers by delivering real-time, context-rich insight, reducing risks, increasing safety, and speeding up complex repairs.

It’s a powerful story of human-AI collaboration born on the front lines of aerospace, energy, and manufacturing.

Their conversation somewhat flips the script on AI and automation. Instead of replacing jobs, Contextere’s tools help field workers make better, faster, and safer decisions, especially in high-stakes, industrial settings.

It's about augmentation, not automation.

What you’ll hear:

- Why “blue collar” workers are among the least likely to be automated

- How Madison curates intelligence from 10+ systems to reduce time and risk

- Why co-creation with users shaped their voice-first design approach

Visit the episode post to get all the links and resources mentioned:

https://www.askai.org/post/e59-can-ai-become-a-trusted-tool-for-industrial-field-workers-gabe-batstone-contextere

You can also download this episode and listen or watch on-demand by searching "Ask AI" wherever you get your podcasts.

ABOUT ASK AI:

Ask AI is an independent nonprofit that collaborates with volunteers, industry experts, and AI innovators to share free content and resources that help people spot the opportunities and navigate the challenges associated with the increased adoption of artificial intelligence at work.

Visit our website to subscribe:

https://www.askai.org/subscribe

  continue reading

61 episodes

Artwork
iconShare
 
Manage episode 497103780 series 2398466
Content provided by Ask AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ask AI 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.

In this episode, Ask AI host Elena Putilina talks with Gabe Batstone, CEO and co-founder of Contextere, about the future of “blue collar AI.”

Gabe explains how their AI copilot, Madison, empowers industrial workers by delivering real-time, context-rich insight, reducing risks, increasing safety, and speeding up complex repairs.

It’s a powerful story of human-AI collaboration born on the front lines of aerospace, energy, and manufacturing.

Their conversation somewhat flips the script on AI and automation. Instead of replacing jobs, Contextere’s tools help field workers make better, faster, and safer decisions, especially in high-stakes, industrial settings.

It's about augmentation, not automation.

What you’ll hear:

- Why “blue collar” workers are among the least likely to be automated

- How Madison curates intelligence from 10+ systems to reduce time and risk

- Why co-creation with users shaped their voice-first design approach

Visit the episode post to get all the links and resources mentioned:

https://www.askai.org/post/e59-can-ai-become-a-trusted-tool-for-industrial-field-workers-gabe-batstone-contextere

You can also download this episode and listen or watch on-demand by searching "Ask AI" wherever you get your podcasts.

ABOUT ASK AI:

Ask AI is an independent nonprofit that collaborates with volunteers, industry experts, and AI innovators to share free content and resources that help people spot the opportunities and navigate the challenges associated with the increased adoption of artificial intelligence at work.

Visit our website to subscribe:

https://www.askai.org/subscribe

  continue reading

61 episodes

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