The Commission proposed new rules on who can use and access data generated in the EU. Jointly, these new rules are expected to create €270 billion of additional GDP by 2028. Which are the main value creation opportunities ? Where the future battles for value capture will take place? How to prepare?
Over the last years, numerous reports have highlighted the gap between the promises of value creation associated with AI and the value captured by companies in reality. A recent research has investigated the drivers influencing success of AI initiatives and concludes on 4 drivers which ensure AI influences performance. Interestingly, they are not directly related...
Because time-based competition increases pressure on constrained resources, What to do first? is a more important question to answer than what to do? Beyond the usual attractivity vs difficulty matrix, two other dimensions are important to take into account to prioritize data-driven value creation opportunities.
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?
As data and AI are major value creation drivers, mastering the related resources and capabilities leads to competitive advantage. With the usage growth of neural networks, a new resource is critical: electricity. That’s probably why the battle on AI will be also a battle on energy.
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...
When it comes to offering data-services, selling data assets, entering into partnerships and data-sharing agreements, agreeing on the value of data is critical. What are the methods to discover the value of data? Which strategic implications?
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