A recent revelation by computer scientists highlighted the limitations of de-identification for data privacy, underscoring the importance of advanced privacy technologies like Homomorphic Encryption (HE). Duality Technologies offers a data science platform optimized for HE, allowing computations on encrypted data and fostering secure collaborations. HE, once an academic concept, is now being applied to address the growing demand for privacy-preserving AI and secure cloud computing. Duality is part of a consortium with Intel and Microsoft Research to create a standardized HE ecosystem, which promotes adoption and flexibility in secure computing. The PALISADE open-source library, integral to Duality's platform, supports advanced analytics and encourages the integration of HE into various applications. As data privacy regulations evolve, industries such as healthcare and finance seek compliant technologies to protect sensitive data while enabling analytics, making the establishment of HE standards crucial for future privacy-enhanced information sharing.