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Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination [6].

PwC predicts that by 2030 AI will add up to $15.7 trillion to the world economy, and as a result, global GDP will rise by 14%. According to Gartner’s prediction, business value added by blockchain technology will increase to $3.1 trillion by the same year.

By definition, a blockchain is a distributed, decentralized, immutable ledger used to store encrypted data. On the other hand, AI is the engine or the “brain” that will enable analytics and decision making from the data collected. [1]

It goes without saying that each technology has its own individual degree of complexity, but both AI and blockchain are in situations where they can benefit from each other, and help one another.[3]

With both these technologies able to effect and enact upon data in different ways, their coming together makes sense, and it can take the exploitation of data to new levels. At the same time, the integration of machine learning and AI into blockchain, and vice versa, can enhance blockchain’s underlying architecture and boost AI’s …

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