ОБ ЭТОМ ЭПИЗОДЕ
The private credit world poured over $500 billion into SaaS lending over the past decade. Now AI is threatening to make traditional SaaS business models obsolete, and those loans look increasingly shaky. The companies that will create durable value in an AI native economy are selling proprietary data products. This episode makes the case for data as a product as the next defensible asset class.
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ПОИСК ПРОШЛЫХ ЭПИЗОДОВ
Искать прошлые эпизоды The Data Monetization Podcast.
ДРУГИЕ ЭПИЗОДЫ В ЭТОМ ПОДКАсте
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…
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…
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…
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.
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…
Отказ от ответственности: Подкаст и иллюстрации, встроенные в эту страницу, взяты из Matthew Bernath, который является собственностью его владельца и не связан или не одобрен Listen Notes, Inc.
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