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Utmost Form of Encryption Could Resolve Data Privacy Problem

Without seeing the data fully homomorphic encryption allows us to run analysis on data, to catch diseases early to financial fraud. 

Jacques Fellay is like other doctors who want to give their patients the best care. Even he uses a more potent instrument than a stethoscope or scalpel; hence it's more powerful than it. Every individual has genetic markers that tell doctors like Fellay which individual is likely to catch a disease like Hepatitis, AIDS, and more.

Fellay gave a warning to those who require early treatment. For Fellay, who worked at Lausanne University Hospital in Switzerland, ethical concerns are serious roadblocks. He says we have ideas and technology. "In most cases, the limiting factor is gathering a large enough data set."

We could also benefit from data. Fellay's work gives us an example of how medical data might be used and make us healthier. In a Disaster Maps, project plus meta share anonymized data to help floods and wildfires. 

Around 1400 colleges in the US evaluate academic records to spot students who are likely to drop out and provide them with extra support. Data is a currency that makes a modern world go around, and it is just a few examples out of many.

Publishing and sharing data means getting such insights. So, if more people look at it, more conclusions and analyses can be conducted. However, sometimes, the one collecting the data is not skillful and doesn't know how to use AI tools to get the high-end advantages of it well it shares with organizations and firms by paying. If in case of no outside data analysis is done, then data should be kept somewhere else.

You can share raw data unthinkingly; because it contains sensitive personal details like names, addresses, and medical information, it's obligatory to keep this information private because of rigorous private laws, the same as European Union's General Data Protection Regulation (GDPR). So breaches may have huge penalties.