Considering the example I just gave; while the algorithm flags fraudulent transactions that would otherwise never have been identified, left to its own devices the model is not – or not yet – able to make a distinction between illegal activities and student housing. How can you make sure that data science knowledge is always combined with business knowledge?
I was involved in many crises: the real economy crisis after the first oil shock, the sovereign risk crises of the 1980s, the crisis of the exchange rate mechanism in 1992 and 1993, the Asian crisis in particular. But what we are experiencing presently is bigger and has hit directly in at the heart of the advanced economies.