If the models are close to interchangeable and getting cheaper, they are a poor place to look for a lasting edge.

Capitalizing on big data starts with collecting it -- a daunting task for data management and analytics teams, who typically must collect large amounts of diverse data from numerous sources. But that ...

Data engineers face a paradox: Building effective AI models requires more data, but access to real data is increasingly limited by privacy, security and regulatory constraints. Synthetic data is ...