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Embracing the Possible: Applying Cross-Transferable Data Analysis and AI Innovation from Other Industries

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Course Credit: 0.15 CEU, 1.5 PDH

This presentation will explore the following points, drawing on relevant examples using data, predictive analytics, A.I., augmented intelligence systems from the company’s partnerships with oil and gas operators and service companies: subsurface workflows, drilling ops management (precision, avoidance of stuck pipe), asset health monitoring and failure prediction, optimized P&A strategies, but also within aerospace: aircraft digital twins, ‘the Conscious Aircraft’, intelligent helicopter pilot decision-support, aircraft landing-gear failure prediction, transport: National-scale rail network monitoring and failure prediction.

Accelerating innovation through applied learning from other sectors (aerospace, transport, banking services)
Bench-marking the oil and gas (energy) sector against the innovation curve of other industries
Examples of cross-transferable capability, intelligence and application
The shift from strategy to action and implementation
Fundamental change: avoiding siloed teams, siloed data and isolated programs
Removing the blinkers and improving visibility and collaboration

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 1 chapter
  1 downloadable resource

Course Chapters

  • 1Embracing the Possible: Applying Cross-Transferable Data Analysis and AI Innovation from Other Industries - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

Angela Mathis