How Does Artificial Intelligence Work in a Blockchain?


Blockchain is a Widely Hyped Technology in the Market. It got double the hype when Artificial Intelligence combined with Blockchain.
Blockchain:
The Blockchain is Decentralized Distributed Ledger which has high transparency, security features, and versatility. In Blockchain Let us take the mining process of bitcoin, and In AI let us take Machine learning Lifecycles. This to processes in these two different technologies is similar in progress.
In cryptocurrency mining, the miners have to go through a lot of computing cycles in order to find a particular block for a coin. Thus the influences of Machine learning cycles have been indirectly used in crypto mining.
Whereas the machine learning cycle is a Cyclical Process in Business intelligence, that defines which kind of steps a business has to take in order to experience the full use case of Artificial intelligence.
Blockchain and AI Supports in Predictive Analysis
Some blockchain networks like Delphy are works well on predictive analysis in a fun way. That is anyone in the network will be awarded if he/she is provided the correct answer for the posted questions. The majority of the question will be asked on the basis of bitcoin price or financial wealth of bitcoin. By combining all the answers honest results will be calculated in the bitcoin price prediction market. Thus Blockchain Works in Predictive Analysis
In some cases, Blockchain With AI Technology will neglect the involvement of humans.
Blockchain With AI Technology can work well in predictive analysis, For example, Cindicator a blockchain that utilizes both technologies by concatenating together in order to bring better prediction on bitcoin price. The Blockchain Cindicator (CID) utilizes both human intelligence and AI.
AI Support Health Care Industry as Blockchain Does
The technology of Artificial intelligence has created a huge influence in the world of medicine. Reports around the world say by 2033 AI can prevent nearly 22,000 deaths by improving the cancer diagnosis.
Not alone the health care industry. But, both technology can support many industries, which includes government and private sectors too.

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