How Blockchain Technology Can Transform Artificial Intelligence (AI)

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Artificial Intelligence (AI) technology is continuing to develop a rapid pace, and part of the reason for this rapid development comes with the enhancements to data manipulation capabilities that are delivered from Blockchain.

The blockchain is one of the greatest emerging pieces of technology, and it is disrupting almost every industry. Through this decentralized system of security technology, and the decentralized database architecture it is possible for operations in AI to become more transparent and faster.

Blockchain has had a mark on the financial sector with cryptocurrency as well as throughout the future of software development. As it continues to improve the way that we encrypt, examine and handle large datasets this can play a particularly important role in the development of AI.

Artificial intelligence and the connection to blockchain:

Artificial Intelligence (AI) stands as a fairly generalized term for the series of technological advancements that are associated with machines learning and being able to act in a much more independent way with software development. AI technology today is working to provide access to everything from self-driving cars to speech and pattern recognition. The overall goal of AI is to continue helping machines learn and to make sure that a series of large data sets can be examined much more effectively and intelligently in the future.

With AI and blockchain working together, we can see a defined improvement when it comes to authentication and accuracy within data sets. The three main features that make these two pieces of technology so complementary can include:

  1. Security/ encryption:

There is a defined need for security improvements, especially when measuring high-value data within a blockchain network. Protocols within blockchain can be important in keeping data sets secure and for any big data system. There is more open data for analysis; there also needs to be encryption and security to prevent malicious threats from affecting AI or leaking data that it is using.

  1. Data sharing:

AI requires big data sets and the sharing of data between multiple clients. Blockchain continues to utilize this data between many clients on a network. By utilizing the data sharing solutions in blockchain and the predictive analysis of AI, it is possible to produce more reliable results in the future.

  1. Trust for the future development of technology:

One of the greatest barriers to AI development currently is the ongoing threat of technology and the lack of structure in the laws of AI development. To properly facilitate communication between several machines or the open sharing of data, there needs to be a proven network for encryption. Blockchain networks again trust over time and through the transparency of the encryption that is verified over multiple levels in the blockchain, the same level of trust could be brought into a flexible and transparent solution within AI learning systems too.

Converging these two types of technology together can lead to rapid development in the field of Artificial Intelligence (AI). As we continue to see advancement in blockchain and AI systems we can continue to see a structure for the future of machine learning and security encryption. Blockchain can continue to offer itself as an olive branch to trust/security in AI.


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