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This story was initially published here The economics, legal, and corporate implications of data privacy are now too strong to be ignored. In the last decades, different privacy-enhancing techniques were improved to respond to ever-increasing requirements...

This articles discusses some of the data challenges that the healthcare industry faces. It also revisits how Statice's collaboration with the leading health organization Roche to test the use of synthetic medical data for clinical research and what opportunities...

This blog takes a closer look at the concept of privacy-preserving synthetic data. It answers the question “what is synthetic data” and looks at the origin of synthetic data in the context of data privacy. It also presents one way of generating privacy...

This post discusses what actually makes data anonymous, share about the misconception we have of it and describe the problems it raises. In the beginning, there was data The intent of anonymization is to ensure the privacy of data. Companies use it...

One of the main challenges in data science projects is managing stakeholder expectations. Often those in the business will have little idea of the complexity and timescales of seemingly simple tasks. Sourcing Data Consider sourcing data. In some organisations...