3 reasons to use blockchain in machine learning

3 reasons to use blockchain in machine learning

According to the data of CB Insights research, the number of projects that involve artificial intelligence has grown by 4.6 times in four years – from 150 to 698 in the period of 2012-2016. At the same time, analysts of Forbes suppose that machine learning makes business more attractive for investments.

Artificial intelligence opens up many opportunities for data processing, but has a number of vulnerabilities such as aptitude for subjective estimation, low-level security, and infringement of copyright in some cases. Blockchain can come to assist the artificial intelligence, being another innovation that generated lots of hype.

Read further in the article how to unite both trends to provide most of benefits for business.

Data democracy for local business

Small and medium retailers cannot deploy machine learning in business. The reason is not the price, as it may seem at the first glance. The main problem is the restricted number of data sources. Usually, representatives of small and medium business have no possibility to collect data from several information channels at a time. Blockchain can resolve this issue.

Blockchain creates a decentralized database accessible to everyone and guarantees users total control over private information.

Eran Eyal, chief executive officer of the decentralized app Shopin believes that blockchain democratizes artificial intelligence. According to Eran, AI and blockchain will function in two phases in retail.

In the first phase, buyers will provide access to their private data to shops where they are loyal customers. All obtained data will be recorded in blockchain. Employees of shops will not be able to see or steal this data, as in the second phase machine learning will analyze the collected data and give out readymade results.

In such a way, coupling of machine learning and blockchain will facilitate the elimination of hegemony of major corporations in the information market.

Data integrity and security for large business

If someone assures you that AI analytics is ‘pure’ just because a machine generates it, do not believe. Parameters for training of artificial intelligence and samplings with correct answers are provided by humans, and the way they are compiled greatly influences the result.

Owners of big data repositories are incentivized by income rather than obtainment of pure data. Due to the competition, Facebook, Google or Amazon will never share their developments free of charge, not to say they will not exchange them even for money with each other.

The point is that specialists of each company have a somewhat biased attitude to information, which can be dictated by the policy of the company, generation of ‘convenient figures’ for shareholders, or specific audience in the sampling. We cannot know anything for sure – corporations never reveal their data collection methods.

Isolation of data from comparison makes samplings somewhat mutilate. Roughly speaking, Google can search for lovers of cars, and Facebook can show interest in people that like red color. However, drivers of red cabriolets, taken into account in both samplings, will be viewed from different standpoints.

Blockchain encourages sharing information and as a result data is accessible to everyone involved in the blockchain network.

At the same time, corporations do not have to worry about hacking attacks. One of the reasons blockchain was invented is to make data storage secure. It does not use a local server, as users from all over the world support its operation. That is exactly why blockchain is hardly possible to hack – malefactors would have to crack all servers at once.

Data economy for simple users

After scandals involving data leakages, users show less readiness to share information. Especially when it comes to something very private, for instance, health.

AI and blockchain will secure user data allowing users to decide for themselves whether they grant access to their information or not.

For instance, AI Company Deep Mind deploys blockchain to protect health data. Patients can use the platform not only to store their health data but also to monetize it: research institutes and medical facilities can buy data from users for the purpose of research. It can be a genetic profile or results of medical trials.

In blockchain, everything is based on gaining mutual benefit rather than income of one of the parties. Users know that to achieve better performance of the system they have to provide their data, and companies can rest assured that data is trustworthy and secure.

For now, it sounds like a utopia. On the other hand, we could not even imagine 5 years ago that the subway fare would be paid with the touch of a smartphone. Technologies have boundless opportunities; the most important thing is to channel them in the right direction.

If you wonder what other opportunities blockchain can offer, come to Blockchain & Bitcoin Conference Kyiv that will take place in the capital of Ukraine on September 19, 2018.

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