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Industrial operations have long depended on the OODA loop—Observe, Orient, Decide, Act—a military-inspired decision framework that works, but at great cost. It requires physical presence, human expertise, and often misses key variables hidden from view. This age-old method is embedded across energy infrastructure—from wells to refineries.
The digital age, however, is transforming our ability to observe. With billions of video-capable devices generating colossal amounts of data, and artificial intelligence now capable of interpreting this data in real time, there’s a game-changing opportunity at hand.
This episode explores the staggering scale and value of video data, and how AI’s emerging ability to interpret video feeds on the fly can augment, and in some cases replace, the human eye in the OODA loop. I outline some of the implications for quality inspections, site assembly checks, and future-proofing industrial operations.
Additional Tools & Resources
💡 Go backstage and check out my studio:
🔗 https://geoffreycann.com/mystudio/
📚 Take my one-day digital strategy training course for oil and gas:
🔗 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185
Connect with Me
✍️ Blog: https://digitaloilgas.substack.com/
🎙️ Podcast: https://geoffreycann.com/broadcast/
💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/
🐦 X: https://x.com/geoffreycann
Contact for Lectures and Keynotes
🎤 I speak regularly on these and other topics. Book a brief call to discuss your upcoming event needs.
Disclaimer
The views expressed in this podcast are my own and do not constitute professional advice.
Read the Article
Want the actual script that this podcast is based on? Download it here
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1818 ratings
Industrial operations have long depended on the OODA loop—Observe, Orient, Decide, Act—a military-inspired decision framework that works, but at great cost. It requires physical presence, human expertise, and often misses key variables hidden from view. This age-old method is embedded across energy infrastructure—from wells to refineries.
The digital age, however, is transforming our ability to observe. With billions of video-capable devices generating colossal amounts of data, and artificial intelligence now capable of interpreting this data in real time, there’s a game-changing opportunity at hand.
This episode explores the staggering scale and value of video data, and how AI’s emerging ability to interpret video feeds on the fly can augment, and in some cases replace, the human eye in the OODA loop. I outline some of the implications for quality inspections, site assembly checks, and future-proofing industrial operations.
Additional Tools & Resources
💡 Go backstage and check out my studio:
🔗 https://geoffreycann.com/mystudio/
📚 Take my one-day digital strategy training course for oil and gas:
🔗 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185
Connect with Me
✍️ Blog: https://digitaloilgas.substack.com/
🎙️ Podcast: https://geoffreycann.com/broadcast/
💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/
🐦 X: https://x.com/geoffreycann
Contact for Lectures and Keynotes
🎤 I speak regularly on these and other topics. Book a brief call to discuss your upcoming event needs.
Disclaimer
The views expressed in this podcast are my own and do not constitute professional advice.
Read the Article
Want the actual script that this podcast is based on? Download it here
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