Transforming Big Data Processing Through Blockchain and AI

4 min read
Curated from forbes.com →

Big data is currently on everybody’s lips with stringent regulations the order of the day and security breaches happening on a regular basis. A company called Endor has come up with a blockchain and AI based solution to manage and process data.

After years of research at MIT, Endor claims to have invented the “Google for predictive analytics*”, providing automated AI predictions for companies.Endor can process Encrypted Data, without ever decrypting it, on and off blockchain and itenables business users to ask predictive questions and get automated accurate predictions. No data science expertise is required.

Endor uses blockchain technology to democratize AI and predictive analytics and is the first pioneer in the merging of legacy infrastructure with novel Blockchain services.  Information about Endor has been announced by a plethora of media and it has been selected as an expert advisor to the US Congress.

Since November 2018, Endor has participated in international meetings including Davos earlier last month.

Now, powered by Blockchain and MIT’s novel Social Physics technology, Endor has introduced its own Endor Protocol to further democratize access to Artificial Intelligence and predictive analytics. Endor Protocol claims to be the world’s first predictions protocol, enabling an ecosystem that provides automated, accurate, affordable and censorship-resistant AI predictions for businesses of ALL sizes.You can use your proprietary data to get predictions and keep that data safe. That’s why leading banks and retailers are already using Endor!

As well as being used by several important Fortune 500 companies, Endor has won a number of Distinguished Achievements & Industry Awards.

We caught up withDr. Yaniv Altshuler, CEO for Endorat the World Economic Forum in Davos. He has given us further insight into the development and use of this amazing technology.

Dr. Altshuler pointed out that digital environments such as the Ethereum network house immense amounts of Big Data which nobody up until now could leverage.

“What eventually happens is that all these huge things are working on one problem, and they have to constantly maintain and refine.  This is very costly. Data scientists are very expensive, and we are short of hundreds and thousands of data scientists in the world, so there is a huge bottleneck because this process is very slow and expensive.  Besides, analyzing data with today’s technologies means that you have to have complete access to the data. If you have data and you want me as a contractor or as your employee to analyze your data and predict things based on it, you must give me complete access to the data. I need to know exactly what the data represents and means. This, of course, is unacceptable today with the General Data Protection Regulator [GDPR]”.

All the technologies in AI and machinery that we have today were developed in the last few decades for the original motivation, to handle problems that are very specific, like face recognition, text recognition, voice recognition. But predicting human behavior is a completely different story because it’s very dynamic and influenced by a very large number of constantly changing patterns and interactions.

 “This is why I spent three years working with professor Alex Pentland at MIT developing what we call Social Physics. Social Physics is our discovery that we can build a mathematical model of human interactions, of human behavior, of crowd behavior. What it essentially means is that we can analyze whatever data you have, which is coming from human behavior. We can analyze it automatically. and you can give it to us in an encrypted version, so even if we are somehow compromised and someone steals the data that we possess, they cannot do anything with it because it’s encrypted. All of this is thanks to this new technology”.

Endor is a spinoff of MIT.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.