The Executive’s Guide to Accelerating Artificial Intelligence and Data Innovation with Synthetic Data
Senior leadership finds itself grappling with the competing demands of operating in an increasingly digital world. This digital environment requires use of sophisticated technologies like artificial intelligence (AI), machine learning (ML), and data analytics, as well as using data for product development and testing, and sharing it with external partners. Companies need to better utilize data to innovate and deliver for more customer-centric products and services in order to stay competitive. But they also must comply with a growing number of regulations restricting data use in order to protect privacy, such as the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Privacy Act (CCPA). Enterprises need an effective solution to bridge this divide.
