Blockchain and AI Equal the Future Of Secure Data Processing And Storage
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Blockchain and AI Equal the Future Of Secure Data Processing And Storage
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Blockchain and AI are two of the most disruptive technologies available today. As these technologies continue to develop, entire industries will be transformed. However, a lack of access to open source projects can hinder the development and use of AI and blockchain.
Data, one of the most important aspects of artificial intelligence development, must be collected to train these systems. This article will discuss the future of data processing in AI and how blockchain technologies can help empower secure data storage and access to technology.
Many consumers are now aware of these technologies but do not know their impact on their lives shortly.
The emergence of Blockchain and AI for secure data storage
To understand how blockchain and AI can be leveraged for secure data storage, we must first understand how blockchain works. Today, many people are more familiar with cryptocurrencies, a potential use case for blockchain.
Essentially, cryptocurrencies, like Bitcoin, are stored on a secure public ledger. According to recent statistics, many people don't know if Bitcoin is safe and secure, but 64% say Bitcoin is safe to buy.Â
The machines then work together to process transactions and verify the integrity of the entire ledger or blockchain. In short, a vast network of machines working together constantly verifies the accuracy and integrity of transactions as they occur.
This means that the whole system itself is secure. Blockchain critics may argue that it is insecure because people lose or have Bitcoin stolen. However, using the vault options to store your Bitcoin can help alleviate these issues.
In any case, blockchain technology represents a more secure method of storing data because data is distributed over a network and is continually verified by all machines on the network.
Data is the backbone of AI projects.
This type of storage is important for AI because AI systems depend on data to function properly. Most AIs work through a process called machine learning, and YouTube's video curation algorithm is a prime example.Â
YouTube uses its AI systems for various purposes, but the key here is for the AI ​​to absorb the data and then learn from that data. For example, YouTube uses AI to organize search results. By feeding AI data on viewing trends and age and appropriate content, the AI ​​can learn what type of content to serve when searching for "funny cat videos."
Open source projects are more secure and benefit everyone.
However, one problem with this system is that YouTube's AI and the way it stores its data are all closed sources. It means that the only people who have access to these systems are YouTube!
One of the primary ways Bitcoin maintains its security is that all of its transactions are public. Essentially anyone can search and see if a Bitcoin transaction is actual or not.
The open-source computer software works similarly. The theory is that when the code is accessible to everyone, security holes and how unstructured data is used become more apparent and thus allow developers and communities to work together to create a better and more secure project.
Open source projects are already ruling the world.
The star child of open source projects is Linux. Linux is so successful that over 96.4% of the world's one million most considerable web servers use Linux. There are countless other apps for Linux, too, from Android phones to TVs.
Last year, an upheaval occurred in the open-source world when the University of Michigan was banned from contributing to the Linux kernel. The ban was enacted after researchers intentionally introduced security vulnerabilities to test the security of open source projects like Linux.
The immediate banning of university contributions and the security vulnerabilities never made it to public distribution demonstrate how open source projects ultimately provide greater security.
Putting blockchain and AI to work for secure data storage
Open-source technologies can be put to good use by incorporating them with blockchain and AI. Because AI depends on data, blockchain is the perfect technology to be united with AI.
For example, healthcare companies could unite blockchain with AI to manage patient data and analyze health trends for individuals and groups. Blockchain would provide a robust data system to prevent unauthorized access, then AI and machine learning could analyze the data and observe trends.
Open Source Blockchain and Current AI Technologies
Fortunately, many open-source AI and blockchain technologies are emerging, and their popularity has grown. Next, we'll look at some of the most popular open-source projects.
One of the most popular open-source AI technologies today is TensorFlow. TensorFlow was developed by engineers and researchers working in Google's Brain team, and TensorFlow helps researchers worldwide by giving them valuable data insights.
Hyperledger is the leading open-source blockchain technology. Led by industry leaders chosen by the Linux Foundation, Hyperledger aims to enable developers to build enterprise-level solutions using blockchain technology.
These tools are useful because they are aimed at industry professionals while maintaining the principles of open-source software, thus improving their security. However, a complete system for joining these technologies together has yet to emerge, and big names like IBM recognize the importance of uniting these two technologies.
Where will the future take us?
Nobody knows how blockchain and AI technologies will be combined in the future, but as data privacy and data abuse become regular conversations, blockchain and AI will undoubtedly continue to disrupt industries. The widespread adoption of open-source software demonstrates that applications for artificial intelligence and blockchain technologies depend on exploiting the security and reliability of open-source software.
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