Ronald van Loon

Blockchain Potential to Transform Artificial Intelligence

Blockchain Potential

The research on improving Artificial Intelligence (A.I.) has been ongoing for decades. However, it wasn’t until recently that developers were finally able to create smart systems that closely resemble the A.I. capabilities of humans.

The main reason for this breakthrough in technology is advancements in Big Data. Recent developments in Big Data have allowed us the capability to organize a very large amount of information into structured components that can be very quickly processed by computers.

Another technology that has the potential for rapidly advancing and transforming Artificial Intelligence is the Blockchain. While some of the applications that have been developed on Blockchain are nothing more than ledger records of transactions, others are so incredibly smart that they almost appear like AI.

Here, we will look more closely at the opportunities for A.I. advancement through the Blockchain protocol.

Blockchain Technology

Supporters of Blockchain believe that it can offer benefits in a large number of industries. The technology has already proved its usefulness in the financial and money exchange markets.

The mortgage lending industry can benefit from Blockchain application for loan origination, payment, and trading. Smart contracts allow automated contingencies that will be executed when stakeholders meet their respective obligations of the contract.

Major retail corporations such as Wal-Mart are working with IBM to apply Blockchain in their processes. They aim to improve inventory control and reduce wastage. A Blockchain-based supply chain can help retailers keep track of product batches and maintain a steady supply in stores.

Blockchain can also be useful in the healthcare industry, as it allows patients to create medical history records that are completely secure, yet easily accessible from the Blockchain network.

Some even believe that the technology will be used to hold elections in the near future.

Improvements in Artificial Intelligence through Blockchain

Researchers have also looked at ways to utilize Blockchain for improving Artificial Intelligence. Blockchain developers make a good case on why the distributed ledger system is the perfect platform for testing the next generation of developments in A.I.

The existing A.I. testing databases are operating in what can be called the red ocean. There is a lot of competition. Similar technologies and methods are being tested with many businesses competing for the same incremental gains.

A Blockchain-based database for A.I. represents the blue ocean of uncontested markets. This is because the technology is still new, secure, and transparent. It has the potential to achieve great things in the future.

Some of the characteristics that make Blockchain a good contender for testing and building Artificial Intelligence are outlined here.

Decentralized Control and Data Sharing

The Blockchain works on a decentralized network of nodes, working together to solve complex algorithms. The mining node on the network which finds the best solution first adds the entry to the blockchain ledger.

Artificial Intelligence works on a similar model. When a decision must be taken by an A.I. system, it tests the possible solutions and alternating branches of possibilities that emerge as a result of taking the first decision. Evaluations of all possible alternatives are tested to the end result before the A.I. chooses the best option.

What makes Blockchain exceptionally good is that instead of a single, central system testing all possible hypotheses, the task is divided among hundreds of nodes spread around the world, which makes the process much faster.

Additional Security

An A.I system being run on a single, central processor is prone to hacking, as any malcontent only needs to break into a single system to manipulate the instructions.

Entries to the blockchain platform must be authenticated by the majority of nodes on the network before they are accepted and processed into the ledger. The higher the number of nodes that are operating on the network, the more difficult it is to hack the system.

While a Blockchain-based A.I. platform would not be impossible to hack, it is still far more difficult to manipulate and break such a system.

Greater Trust

In order to be reliable, a system must be trusted by the public in general. Blockchain allows far greater transparency than a closed A.I. system. Records maintained on a Blockchain ledger can be reviewed and audited at any time by authorized people with access to the system. At the same time, users who have not been granted access would not be able to view anything, as the database is encrypted.

Take the case of Blockchain application in the healthcare industry. People with medical complications may not want their medical records to be accessed by unauthorized people. Keeping the medical history in an encrypted format instead of plain English ensures that their records could not be accessed by any individual.

On the other hand, keeping the record on a Blockchain also ensures that medical practitioners would be able to provide quick medical aid in case of emergency by accessing the files.

How Blockchain will Transform Artificial Intelligence

Developments in A.I. technology rely on the availability of data from a large number of sources. Organizations such as Google, Facebook, and telecommunication companies have access to large sources of data which can be useful for testing many A.I. processes. The problem is, this data is not accessible on the market.

This problem can be solved by Blockchain’s P2P connection. The Blockchain ledger is an openly distributed registry. The database becomes available to all the nodes on the network. The Blockchain may be the best thing to end the control on data from a few major corporations by allowing it to be freely available.

Modern A.I. & Data

The development of A.I. depends on access to data in much the same way that the construction of a building depends on materials, stone, and steel. This is because data is consistently needed to test and retest alternative solutions for A.I.

As an A.I. system continuously tests these hypotheses, rejects the wrong answers, and builds upon the right solution, it improves its capability to make sense of things. This is what we commonly refer to as Machine Learning.

Machines do not have the same sense of intuition that humans developed over millions of years. In order for A.I to one day reach a similar level of intelligence as humans, it would need to test the data of millions of transactions in a matter of years.

Control Over the Use of Data

This is perhaps the most important and limiting factor in the development of A.I., and the reason why Blockchain would work where centralized databases have not.

Think of Facebook or Google. When a user logs into their Facebook account, they don’t have the right to any content uploaded on their platform. The content on the platform belongs to the website.

What makes Blockchain different is that data on the Blockchain is not owned by the operators but the individual wallet holder. This gives each user the ability to share their data on the platform without requiring permission for the network operators.

The future of A.I. development lies on a network that allows free flow of information between connected users and operators. The decentralized nature of Blockchain technology means that this could be the platform where we see the most breakthroughs on A.I.

By Ronald van Loon

Ronald van Loon

Ronald has been recognized as one of the top 10 Global Big Data, IoT, Data Science, Predictive Analytics, Business Intelligence Influencer by Onalytica, Data Science Central, Klout, Dataconomy, is author for leading Big Data sites like The Economist, Datafloq and Data Science Central.

Ronald has recently joined the CloudTweaks syndication influencer program. You will now be able to read many of Ronald's syndicated articles here.

Imminent IoT Eye-Tracking Technologies To Transform The Connected World

Imminent IoT Eye-Tracking Technologies To Transform The Connected World

IoT Eye Tracking Smelling may be the first of the perceptible senses, but the eye is the fastest moving organ ...
Cloud-Based or On-Premise ERP Deployment? Find Out

Cloud-Based or On-Premise ERP Deployment? Find Out

ERP Deployment You know how ERP deployment can improve processes within your supply chain, and the things to keep in ...
Ringing The Alarm Bells - Preparing For The Potential Dark Future of A.I

Ringing The Alarm Bells – Preparing For The Potential Dark Future of A.I

The Future of A.I On Friday 21st October, the world witnessed the largest cyber-attack in history. The attack set a ...
Infosec thought leaders

Cryptocurrencies and Ransomware: How VDI Can Help Defend Against the Next Ransomware Attack

Cryptocurrencies and Ransomware The WannaCry ransomware made headlines back in May when it crippled hospitals across the UK and put ...
What You Need To Know About Choosing A Cloud Service Provider

What You Need To Know About Choosing A Cloud Service Provider

Selecting The Right Cloud Services Provider How to find the right partner for cloud adoption on an enterprise scale The ...
The Security Gap: What Is Your Core Strength?

The Security Gap: What Is Your Core Strength?

The Security Gap You’re out of your mind if you think blocking access to file sharing services is filling a ...
The Fraud Management Solutions Market Will Exceed $10 Billion By 2023

The Fraud Management Solutions Market Will Exceed $10 Billion By 2023

Estimates of the cost of fraud vary widely, but almost everyone agrees that the cost is huge and appears to be increasing. Looking just at eCommerce, Forrester predicts that US and Western European eCommerce fraud ...
Google hit with record $5 billion EU antitrust fine

Google hit with record $5 billion EU antitrust fine

EU regulators hit Google with a record 4.34 billion euros ($5 billion) antitrust fine on Wednesday for using its Android mobile operating system to squeeze out rivals. The penalty is nearly double the previous record ...
Worldwide Spending on Blockchain Forecast to Reach $11.7 Billion in 2022, According to New IDC Spending Guide

Worldwide Spending on Blockchain Forecast to Reach $11.7 Billion in 2022, According to New IDC Spending Guide

FRAMINGHAM, Mass., July 19, 2018 – Worldwide spending on blockchain solutions is forecast to reach $11.7 billion in 2022, according to a new update to the Worldwide Semiannual Blockchain Spending Guide from International Data Corporation (IDC). IDC expects ...