If you could see the future, you might use it to win the lottery or play the stock market. But what if that foresight was used to solve a more… concrete problem?

Cement plants today face rising costs, tighter emissions targets, and pressure to do more with less. The data to tackle these challenges has been there for years—vast quantities collected but left unused. What’s changed is the urgency of the problems and the arrival of AI mature enough to meet them. With more connected sensors, greater computing power, and advanced machine learning, it’s now possible to turn that data into foresight, and that foresight into impact. The question isn’t whether to adopt AI, but how to get ready to use it.

In this session, we’ll cut through the jargon to show what AI is and isn’t and what great AI in cement looks like: accurate models that see what’s about to happen, optimisation layers that turn predictions into the best actions, and systems that keep learning as the plant evolves.