Practical AI advice: what's worth knowing, doing and ignoring
A plain look at what AI can and cannot do for your business today.
How to find your first AI project without wasting time or money.
The everyday tasks worth automating first, and why.
Why most AI tools go unused, and how to avoid it.
BCG’s latest study shows a small number of organisations pulling ahead on AI while most others are still experimenting. It looks at what separates the two: leadership, prioritisation and how deployment actually happens. A clear read on where the value really comes from.
McKinsey’s global survey looks at why so many organisations use AI without it showing up in results. It digs into workflow redesign, governance and the space between adopting AI and actually seeing value from it. Useful if you want AI to do more than tick a box.
New research from the Office for National Statistics tracks how UK businesses are actually using AI, not how the headlines say they should. It covers adoption rates, common barriers and which functions are changing fastest. A grounded, current picture for your next move.
Published by our Chief AI Adviser, Professor Wenjia Wang, this peer-reviewed study shows how machine learning improves the accuracy of train delay predictions. It’s a hands-on example of applied problem-solving, and proof the thinking behind Jacobs & Xu holds up in academia too.
