Blog

For most of my 35-year career in manufacturing, I have seen the industry evolve dramatically but struggle with one persistent challenge.

Discover how Orbital, a foundation model built by Applied Computing, uses AI, physics, and time-series intelligence to unlock energy’s untapped 92% data, redefining optimisation across the energy value chain.

Discover how AI lessons from sports such as performance tracking, predictive insights, and explainability can be applied to the energy sector to reshape efficiency and resilience.

Discover how AI-powered predictive maintenance helps energy firms cut downtime by 40% and prevent $1–2M daily losses, while boosting resilience and efficiency in a highly complex environment.

A deep dive into the pragmatic case for continued domestic oil and gas production that breaks down how responsible drilling can reduce emissions, protect sovereignty, and serve as the bridge to a renewable future.

Learn how the managerial middle plays a pivotal role in AI change management. Far beyond technology, successful adoption relies on operational leaders who translate strategy into action, build trust, and align incentives. By becoming translators, curators, and champions of AI, these leaders transform pilots into enterprise-wide momentum.

Discover how physics-grounded AI is transforming offshore wind by automating environmental analysis, enhancing wind modelling, enabling predictive maintenance, and improving seismic risk detection, helping unlock unprecedented speed, accuracy, and resilience in one of the world’s harshest operating environments.

Explores how physics-grounded AI is uncovering new singularities in fluid dynamics, driving breakthrough in science and energy operations.

Only 8% of energy data is used today. Dan Jeavons explains how Orbital, Applied Computing’s foundation model for energy, is unlocking the rest, helping redefine the future of energy intelligence in the AI age.