SOBRE ESTE PODCAST 🔗
Where data becomes revenue. Hosted by Matthew Bernath, this podcast explores how organisations transform their data into commercial value, responsibly, securely, and at scale. Each episode unpacks real world strategies, frameworks and success stories from leaders turning insights into direct alternative income.
Apresentadores:
Frequência de atualização:
every 20 days
Duração média do áudio:
11 minutes
Inglês
África do Sul
12 episódios
desde 11 de Novembro de 2025
episodic
ÚLTIMO EPISÓDIO 🔗
Matthew talks to Linda Reid, Head of Product at Alternata, about why product thinking is the difference between a data product earning zero and earning scalable, repeatable revenue. Most organisations start from the wrong end: "I have data, what can I build?" Linda's argument is that you have to do…
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EPISÓDIOS ANTERIORES 🔗
Matthew sits down with Bruce from Ivy Asset Management to unpack IVYAI, the JSE-listed actively managed ETF giving South African investors rand denominated exposure to the global AI ecosystem. They get into what the fund actually holds and where the real opportunities sit beyond the obvious chip na…
Most enterprise data leaders can build a data product. Far fewer can sell one.
In this episode, we unpack the commercial reality of bringing data to market. Subscription is the default, but often the worst fit. and procurement was never designed to buy data products in the first place.
We cove…
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 da…
Most organisations think data monetisation means selling datasets. It doesn't. Buyers want decisions, not raw data. In this episode, we break down how signals become indices, benchmarks, APIs and insight products, and why productisation is the difference between a once off data deal and scalable re…
Most small and medium sized businesses assume they don't have enough data to monetise.
In this episode, we unpack why SMEs often hold valuable data in the economy, from specialist operational data and private markets insight to niche customer behaviour. We explain why data value is about signal, s…
*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "4a19ea0a-76f3-4bf6-a21d-6f5fd8fb441d" data-testid= "conversation-turn-56" data-scroll-anchor="true" data-turn= "assistant"> Privacy Enhancing Technologies (or PETs) a…
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…
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…
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.
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