Enterprise giants IBM and SAP dive deeper into deep learning - SiliconANGLE

The idea is to make it much easier for data scientists to use deep learning on a variety of tasks. For example, IBM said, banks could make better predictions on whether clients might default on loans or detect credit-card fraud. Manufacturers can train models with historical machine data to identify potential failures before they happen. Inventory management could be optimized based not only on point-of-sale data but also weather and other outside data. "The data scientist doesn't have to deal with provisioning or managing the server," Gupta said.