SOBRE ESTE EPISÓDIO
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.
Inglês
África do Sul
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OUTROS EPISÓDIOS NESTE PODCAST
When it comes to data monetisation, most companies have the data, have the customers, and even have clear demand, but the revenue still doesn't flow.
In this episode, we break down the six barriers that stop enterprises from monetising their data, and what companies can about each one.
Most organisations don't struggle with a lack of data, but rather with knowing where to start. In this episode, we unpack how to identify the first high value, high-margin data products your organisation can monetise.
We cover why datasets aren't products, what buyers actually pay for, the three t…
In this debut episode, Matthew Bernath breaks down the five biggest myths holding organisations back from unlocking the true value of their data. From the misconception that monetisation means "selling data" to the belief that it requires perfect datasets or complex technology, Matthew separates fa…
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 t…
Aviso: O podcast e a arte incorporada nesta página são de Matthew Bernath, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
