Data services companies face the challenge of maximizing the value of their data and AI models while protecting intellectual property and ensuring privacy, particularly with sensitive information like personally identifiable or protected health information. Privacy-enhancing technologies (PETs) present a solution by allowing data to be utilized without exposing underlying sensitive data or proprietary models. PETs enable safe data collaboration, protect model IP, build consumer trust, ensure regulatory compliance, and drive innovation by allowing secure data analysis across organizations. They facilitate data marketplaces and secure model deployment, promoting new business opportunities. To harness these benefits, companies must thoroughly understand governance requirements, match PETs to their capabilities, and implement a combination of technologies tailored to their unique business needs. Overall, PETs offer a competitive advantage in the data-driven economy, enabling responsible data and AI model utilization.