Sectors

The same skills framework, aimed at your sector's own problems

A bank, a supermarket chain and an energy company all need people who can work with data and AI, but not on the same problems and not under the same rules. Where our personas describe what each group of colleagues learns, these pages describe what the work looks like in your industry: the use cases in your own language, and the clients we have already done it for.

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Industry, energy & logistics

Operations-heavy organisations have thousands of colleagues who never sit at a desk, spread over sites and countries. That is a different capability problem from a head-office pilot, and it needs a different programme.

Office towers in a Dutch business district

Financial services

Banks, insurers and pension funds were data-driven long before it had a name. The hard part is not the modelling. It is getting the thousands of colleagues around the data team to work with data and AI confidently, inside what the regulator allows.

Retail & consumer goods

Buyers, category managers and supply chain teams already work with numbers all day. The gap is rarely access to data. It is the confidence to challenge a figure, and to know where AI genuinely helps and where it just adds noise.

A product team working together on laptops

Technology, media & platforms

Platforms, tech companies and publishers already run on experimentation, funnels and real-time data. The gap sits with the product, commercial and editorial people who consume what the data teams build, and who make expensive calls on it every week.

Three care professionals in conversation, one holding a tablet

Healthcare & care

Care organisations hold some of the most sensitive data there is, under real staffing pressure. AI could genuinely take work off people's hands, but only if colleagues know what they may use it for and what may never go into it.

A scientist working with a pipette in a laboratory

Life sciences & pharma

Pharma and life sciences companies run R&D and quality under validated, auditable conditions while commercial and supply teams work at a completely different tempo. One data programme has to serve both without pretending they are the same.

The Binnenhof in The Hague with the modern city skyline behind it

Public & semi-public

Municipalities, public transport operators and executive agencies work under a standard of accountability no commercial organisation faces. That changes what a data & AI programme has to teach, and to whom.

The same result across every sector

Course completion

79%

over the last twelve months

Learners

10,000+

have been through our programmes

Average skill growth

21%

Measured pre vs post — never self-reported