The AI conversation is almost entirely about value created and how to capture it. What if AI destroyed value? What do we lose when the technology is used at scale? Which are the second-order effects that don’t show up in any business case? And more importantly, what are the questions you should ask about your...
What’s your Instagram data worth? Most people don’t know. We sense data is valuable, but struggle to define how and why. For business leaders, this isn’t a theoretical issue. Companies that harness data effectively outperform their peers. But value doesn’t come from data alone. It comes from how you use it. In our book Datanomics,...
Massive value can be created by leveraging data: reducing costs, generating revenue on the existing business model, and launching new business models. However, for this value to be captured, one element is key: digital infrastructure. Not only is it key for data users but it also concentrates significant value of the data economy. When looking...
As more and more objects are connected to the internet, real-time data is generated massively. Sensors in smartphones, cars, manufacturing equipments or infrastructures collect data about the product use and its environment. Sent to a cloud server, data are used to predict future events and make better business decisions. How value is created and captured...
Imagine a world where the articles you read, the financial reports that inform major investments, and even the data labeling that trains the very algorithms we rely on are not the products of human intellect but of artificial intelligence. This is not a glimpse into a distant future; it’s the reality of today’s digital ecosystem....
While the current trend emphasizes the crucial role of data in decision-making, there are scenarios and contexts where not using data may be beneficial. In a world obsessed with data, could deliberately ignoring it actually become a secret weapon for innovation, agility, and intuition?
How to differentiate signal from noise in generative AI? On the one hand, McKinsey predicts that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually. On the other hand, we have plenty of studies (even from McKinsey) which conclude that value capture is much harder to achieve than what predictions estimate...
All businesses, once they achieve a leading market position try to defend themselves against potential competitors. Business moats, a term coined by Warren Buffett, are competitive advantages a company establishes to protect its market position and profitability from competitors, just as a moat protects a castle from invaders. When it comes to Generative AI, would...
Generative AI tools like ChatGPT and Midjourney create a wide variety of automation opportunities and tilt the balance of power in a lot of industries. Generative AI startups and digital giants are trying to make a dent in non-digital-native markets and capture part of their value. At the same time, the battle rages within the...
What translates big data into business value? Beyond technical and data-related resources, study shows human-related resources and capabilities are more important. Then, how to leverage the human drivers of value creation through big data?
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