Privacy Enhancing Technologies (or PETs) are foundational to modern data monetization.

In this episode, we break down how PETs work in practice, including clean rooms, hashed ID matching, secure overlap analysis and privacy safe marketing and measurement. We explain how enterprises collaborate on data, run audience overlap and campaign analytics and unlock new revenue opportunities without sharing raw data or exposing identities.

This is for teams looking to move from fear based data protection to value based data collaboration for shared value.

AI models increasingly depend on real world, proprietary data, but monetising that data raises questions around privacy, consent and trust.

In this episode, we unpack how enterprises can monetise data for AI training safely and ethically. We cover why demand for AI training data is exploding, what types of data are most valuable and the governance principles that protect both organisations and customers.

A practical guide for organisations exploring AI driven data monetisation.

Data monetisation doesn't fail because of technology, but rather because of operating models.

In this episode, we go inside a Data Monetisation Unit and unpack how it actually works within a large enterprise. We cover the critical roles, governance structures, how the unit works and operates and the characteristics that separate high performing DMUs from stalled initiatives.

This is your guide to build repeatable data revenue.