How can Homomorphic Encryption resolve Big Data’s problems?
Although advances in data analytics have enabled businesses to acquire expanded insight into large structured and unstructured datasets, these advances have limited privacy and misappropriation risks.
Having greater control over the life cycle of data and confidentiality agreements has alleviated these risks, but outsourcing sensitive or regulated data processing components to third parties is still broadly viewed as fraught with risk.
Any third party, including competitors, could share all sensitive data or data processes and algorithms, subject to the provider’s controls. However, it would open unimagined avenues of enterprise collaboration,
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