Playbooks
Data & AI Playbooks, by industry
What data and AI are genuinely used for in your sector, what each use case needs before it can work, how you would know it worked, and where it fails. Free to read in full — no sign-up to read anything.
Data Analytics and AI Use Cases in Manufacturing Industry
Six operational areas that industrial leaders actually run on their data include predictive maintenance, automated visual inspection, demand forecasting, OEE analysis and scheduling, energy optimisation, and spares and inventory. Exploring these machine learning use cases in manufacturing reveals...
Oil & GasData and AI Use Cases in Oil & Gas
Six operational areas that operators actually run on their data include rotating equipment monitoring, corrosion and asset integrity, production optimization, flaring and emissions monitoring, drilling and completion analysis, and inventory for critical spares. For each specific area, this guide ...
LogisticsData and AI Use Cases in Logistics
Six data and AI use cases in logistics and distribution, each with the data it needs, how to prove it worked, and where it fails. Every figure sourced, with what the published forecasting evidence does and does not support.
FintechData and AI Use Cases in Fintech
Six data and AI use cases in fintech and lending, each with the data it needs, how to prove it worked, and where it fails — including why accuracy is the wrong measure for anything this rare.
Retail & E-commerceData and AI Use Cases in Retail & E-commerce
Six data and AI use cases in retail and e-commerce, each with the data it needs, how to prove it worked, and where it fails — including published evidence that the fashionable model is not the one that wins.
Data & AI Playbook
In preparation. Researched and sourced the same way as the first.
These are written to be checked. Every figure carries the study it came from, how that study was conducted, and what it does not support — including where the most widely quoted number in the sector turns out to be a survey of 181 people commissioned by a company selling the remedy.
Want this applied to your own numbers?
A Data Health Check works through the same questions against your systems rather than your industry in general: what you have, what it would support, and what it would take.