In an environment that has left financial firms grappling with thinning margins amid rising costs, data has become more important than ever. But simply possessing data is not enough—the key is gleaning insight from it—leading firms to explore and experiment with artificial intelligence (AI) for a variety of reasons.
 
The problem often comes down to size: Various forms of AI—such as machine learning and the sub-discipline of deep learning—tend to require large datasets for training and to