Ensuring Data Safety Using AIs

By Sandeep Kasalkar

Cryptocurrencies, such as Bitcoin, are essentially stored on a secure public ledger. Many people are sceptical whether Bitcoin is safe and secure, however according to recent data, 64% believe Bitcoin is safe to buy.

Then, a group of machines collaborate to execute transactions and check the blockchain’s (or ledger’s) overall integrity. In other words, a vast network of interconnected machines continually checks the precision and integrity of transactions as they take place.

This indicates that the system as a whole is secure. Blockchain critics may assert that it is insecure since Bitcoin is frequently lost or stolen. However, employing secure methods for Bitcoin storage might lessen these kinds of issues.

In any event, because the data is dispersed throughout a network and regularly checked by every machine on the network, blockchain technology provides a more secure means of data storage.

Data is the foundation of AI initiatives

The importance of this form of storage for AI derives from the fact that AI systems rely on data to function effectively. The majority of AI operates via a technique known as machine learning. The video curation algorithm on YouTube is a wonderful illustration of this.

YouTube’s AI systems are used for a number of reasons, but the main point here is that the AI collects data and then learns from it. YouTube, for example, uses AI to select search results. The AI can learn what sort of content to offer you when you search for “funny cat videos” by providing it data on watching trends as well as what age and content acceptable.

Open source projects are safer and more beneficial to everyone

One issue with this technique is that YouTube’s AI and data storage are entirely closed source. This implies that YouTube is the only one who has access to these systems!

Open-source computer software works in the same way. The notion is that by making code public, security issues and how unstructured data is used become more visible, allowing developers and communities to collaborate to create a stronger, more secure project.

Using blockchain and AI to protect data storage

Using open source technology with blockchain and AI is one approach to put them to good use. Because AI is data-driven, blockchain is the ideal technology to partner with.

Healthcare organisations, for example, might use blockchain and AI to manage patient data and monitor health patterns across people and groups. Blockchain would offer a robust data system to prevent unwanted access, while AI and machine learning would be able to analyse the data and spot trends.

Blockchain and AI technologies at this time

Thankfully, there are several open-source AI and blockchain solutions being developed, and demand for them is only increasing. We’ll then look at some of the most well-known open-source initiatives.

• TensorFlow is one of the most well-liked open-source AI tools available today. In Google’s Brain Team, engineers and researchers created TensorFlow. TensorFlow supports researchers all over the world by providing them with useful data insights.
• The most popular open-source blockchain technology is called Hyperledger. The Hyperledger project, led by business leaders chosen by the Linux Foundation, intends to make it possible for programmers to use blockchain technology to build enterprise-level applications.

These tools’ usefulness comes from the fact that they are made for experts in the sector while still adhering to the ideals of open-source software, increasing their security. Unfortunately, a complete system for integrating these kinds of technology has not yet materialised. The significance of combining these two technologies is understood by household names like IBM.

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