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Exploring how machine learning enhances engineering workflows, providing tools to maximise industrial asset performance.

4 Reasons Why Industrial AI Is Needed For Modern Operations

Like any model, control systems require regular reviews & updates to stay effective. Here are 5 signs that your system might need an upgrade

In this presentation we we explore how our next generation of software is reshaping the industry landscape of engineering and beyond.

In the fast-paced industrial sector, the terms automation and autonomy are often tossed around interchangeably. But peel back the layers, an

It's the challenge we’re all facing: our wells outnumber our engineers and the current way of doing things just can’t keep up.

Explore 7 key reasons why control systems knowledge is vital for engineering the future.

Control theory is crucial in various engineering fields providing engineers with essential tools to analyse and improve system performance.

The introduction of smart control systems opens doors to optimising complex, real-world systems.

The industrial world is constantly evolving, and with it, the quest for greater operational excellence and efficiency.

The oil and gas industry is moving towards autonomous operations, enabled by intelligent 'smart control' systems.

Integrating domain knowledge into machine learning technology is a key strategy to advanced asset control and management capabilities

Could Formula One teams be leveraging intelligent control technology to drive value, both on and off the track?

Explore the transformative potential of 'smart assets' in industrial operations.

SIG ML has developed engineering-led intelligent control software that delivers real-time network-level optimisation & control of wellsites.