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?
The world of Formula 1 is interesting; originally, one would think it is just a bunch of cars circling until one finishes first. However, once you look closely, you can see that things are different from what they appear to be and Formula 1 is one of the most data-driven sport. However, all the technological...
Data sharing is a complex business ecosystem where data generators, aggregators and services providers compete to capture the value of data produced by smartphones, cars, public transport and micro mobility shared services. What insights can we gain through the analysis of 37 companies? How connected is the information market to the transport service market?
Selling data can be a major revenue opportunity. However, navigating the business ecosystem of data trading is not a catwalk. Which is the best option: monetizing directly or through brokers ? Beyond the revenue opportunity some key strategic considerations are to be analysed for data generators who want to monetize their data.
The European Commission released recently a proposal for a regulation on Artificial Intelligence (AI). Though there is still a long process to take place before the regulation is enforced, it will impact Datanomics, i.e. value creation opportunities and competition dynamics related to data and analytics. What would change should the regulation implemented as described? What...
As data is associated with numerous value creation opportunities, protecting them and making sure others cannot access them seems a smart move to control the value capture. Though counter-intuitive at first, there is a clear case for value capture while sharing data. However, sharing doesn’t always mean the same and several options are possible. Why...
Proprietary and closed data strategy has clear advantages but in some cases engaging in open data proves to have a bigger impact on competitive advantage.
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