Balancing Data Privacy and Utility in AI

Every organization working with artificial intelligence faces the same dilemma: how do you use data to build powerful, accurate models without compromising privacy and trust? The tension between data privacy and data utility has become one of the defining challenges of modern AI development. On one side, enterprises need rich, diverse datasets to train algorithms […]