Data & AI in iGaming Operations

B2B brief on data and AI in iGaming: harm detection models, fraud scoring, personalisation, pricing automation, data infrastructure and governance…

Where machine learning is actually delivering value in gambling operations — and where it is being oversold.

The highest-value AI applications in gambling are defensive: harm detection, fraud and AML triage.

Personalisation works when it is constrained by player-protection rules, and creates liability when it is not.

Model governance is now a regulatory topic, not only a technical one.

Most AI projects fail on data infrastructure, not on modelling.