Artificial Intelligence and Data
AI and data
For thirty years no technology has offered to rewrite every part of a business at once. Generative AI does. It has become the single biggest force behind reinvention — and how far any company gets with it comes down to whether its data is ready to carry the weight.
AI and data now
72%
of executives expect generative AI to reshape how their industry works within three years.
33%
of organisations say their data is actually in shape for the models they want to run on it.
70%
of the effort behind a working AI programme goes into the data, not into the model itself.
12%
of AI pilots ever make it past the pilot and into everyday use across the business.
Reinvent with AI and data
AI strategy and value
Work out where generative AI actually pays, in what order, and what it will take to get there — before anything gets built.
Data foundation
Get the estate into shape the models need: one definition per thing, lineage you can follow, and an owner for every dataset in production.
Responsible AI
Put the guardrails, evaluation and review in place early, so the answer to what the system did and why is on record.
Agents and automation
Hand whole tasks to systems that can carry them end to end, with a person in the loop wherever being wrong is expensive.
Modern data platform
Build the layer underneath — access, pipelines, evaluation, monitoring — so the fifth use case costs a fraction of the first.
AI operations
Run models as a service rather than a project: on call, measured in the workflow, and fixed when the data upstream shifts.
