Differential Privacy has seen notable advancements and applications in the tech industry. Major companies like Google, Apple, and Microsoft have adopted Differential Privacy for various purposes, including data collection and analysis, as well as for developing machine learning models. These applications illustrate the effectiveness of Differential Privacy in balancing the need for data utility with privacy concerns. For instance, Apple uses Differential Privacy to collect and analyse user data to improve its services, while ensuring individual user data remains private. Similarly, Google has developed a differentially private version of TensorFlow, allowing for the private training of machine learning models. These applications underscore Differential Privacy's growing importance in tech, providing a way to harness the benefits of data analytics while safeguarding user privacy.