In the race to unlock value from AI, most organizations start with strategy decks, roadmaps, and ROI calculators. But what if the breakthrough insight isn’t buried in a spreadsheet—what if it’s waiting at the other end of a rough prototype and a bold experiment? After 50 workshops exploring AI opportunities with executives, one lesson stands...
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,...
Most AI projects undertaken by organisations fail. The reason may lie in the lack of a solid strategy. Alessandro Lanteri, Louis-David Benyayer and Lorena Blasco-Arcas created a roadmap to guide organisations in the design, development and implementation of an AI strategy. Read on LSE Business Review
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.
A huge dataset and a team of data scientists are not sufficient to seize value creation opportunities. I propose here a check-list for value creation.
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