The AI productivity paradox: Why finance must  move beyond automation 

For decades, productivity in finance meant closing the books faster, reducing transaction costs and improving  reporting. Artificial intelligence changes that equation, because it can do more than execute routine work. It can  interpret variances, detect anomalies, generate forecasts, test scenarios and recommend actions.  This creates enormous capacity, but capacity is not the same as value. […] The post The AI productivity paradox: Why finance must  move beyond automation  appeared first on e27.