Big data firms have long relied on the commercialization of user data as a primary asset, but recent events, like the Cambridge Analytica scandal, have caused major tech companies to reconsider their relationship with big data and privacy. Despite these firms' efforts to distance themselves from data exploitation, the financial incentives to utilize big data remain strong, creating a dilemma between business efficiency and consumer privacy. Homomorphic encryption emerges as a solution, allowing companies to perform private computations and gain insights without exposing user data, offering a balance between optimizing customer experiences and safeguarding privacy. Duality, leveraging nearly a decade of investment and research from DARPA and other sponsors, has developed advanced encrypted computing technologies, including homomorphic encryption, to support this dual objective in a commercial context.