Data Sharing Made Easy by Technology Trends: New Data Sharing and Privacy Preserving Technologies that Bring in a New Era of Data Monetization
DOI:
https://doi.org/10.5281/zenodo.7111123Keywords:
Fully Homomorphic Encryption, FHE, COVID-19 pandemic, partially homomorphic encryption, PHE, AI, ML, Machine Learning, Data Sharing, privacy preservingAbstract
Soon, innovative technologies will facilitate data exchange processes between organizations without compromising privacy. Organizations are increasingly using copious amounts of external data as they extract more value from sensitive data. This can open new possibilities for data-driven decision making. Business models and products are developed through the secure sharing of data across ecosystems and value chains. Earliest days of the COVID-19 pandemic, researchers, health authorities and drug manufacturers accelerated drug and vaccine development by combining clinical data on a common platform. As a result of these data sharing protocols, drug manufacturers, government agencies, hospitals and pharmacies have jointly implemented a comprehensive immunization program that prioritizes efficacy and safety and protects intellectual property. The purpose of this article is to explain how modern technologies enable innovative business models and products by simplifying the mechanics of data-sharing across and between organizations while simultaneously maintaining privacy