Artificial Intelligence

Blockchain and Ai Solutions for Your Business

2 Mins read

How AI can affect the blockchain

Mining requires a lot of computing power and electricity. Distributed ledgers are forced to sacrifice their efficiency for such functions. In this situation, AI can become a tool that can help optimize power consumption. Another advantage of using AI is one mining algorithm.

Consuming large amounts of energy is one of the main problems of blockchain development solutions. Another area in which “collaboration” between AI and blockchain can be successful is data storage. As a result, distributed ledgers are constantly growing in size. This can reduce the decentralization of the network itself by limiting the number of its system. In this case, it can introduce new methods of data distribution with the help of reducing the size of it for more efficient data storage.

Ai in business

This suggests that many understand its value, and if you have not yet implemented AI in your business, it’s time to think about it.

Ai technologies are useful for different areas of business: retail, construction, IT, education, etc. Each of them needs to manage consumer and customer behavior, study future market trends and automate routine processes. AI helps simplify these steps.

Here are some of the areas in which AI is most in demand:

Transport. Self-driving cars that “feel” the system without human intervention. AI machines analyze traffic and alternative routes, reducing travel time.

Production. High-performance robots are faster and more efficient than humans. Through the use of 3D technology, these machines accelerate the production process in any field.

Blockchain the power of AI

In addition to the flow of blockchain-proven ai, development also requires a large amount of computing power. Algorithms often use ANNs for these purposes – artificial neural networks. ANNs learn to perform tasks by looking at many examples.

AI itself will be able to learn on such computing platforms with greater efficiency. This symbiosis also reduces the cost of training algorithms.

In other words, for example, on a “smart” farm that gets the best harvest using ai  methods, the ownership of the final product, as well as agricultural land, seeds, equipment, etc., can be distributed among thousands of people. Thus, in a fully automated business, the allocation of assets and profits / expenses can also be fully automated.

In more complex scenarios, blockchain can provide not so direct, but very significant benefits for AI systems, for example:

  • Due to decentralization and widespread adoption of the flow of data (and, more importantly, new quality data) entering artificial intelligence will grow, helping to create better models;
  • Sharing and transparency will make it easier for different (remote) AI actors to access training datasets, real data and models;
  • Consistency and guaranteed immutability of critical data will provide reliable support for datasets and artificial intelligence solution provider.
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