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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…
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.
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…
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…
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…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Matthew Bernath에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.