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The symbiosis of blockchain and artificial intelligence in the future of the digital age

Time : 29/11/2021 Author : 6wxzfa Click : + -
        AI and blockchain are trend technologies that are improving business models and changing the entire industry. Deloitte calls them the most exciting trends in 2022, and Gartner predicts that they will grow rapidly in the coming decades. Many people think that distributed ledger technology or blockchain is synonymous with cryptocurrency. This is not the case, because although cryptocurrency is the most popular, it is only one of many ways that blockchain technology can be used. Blockchain databases are distributed in the chain and linked on blocks. The entries in the block are hashed, so no one can change or delete the information. In order to conduct transactions honestly, when blockchain participants confirm or reject unauthorized behaviors, the consensus mechanism works in the network.
        On the other hand, artificial intelligence is a group of deep machine learning algorithms that imitate human thinking. AI processes and arranges a large amount of data beyond human capabilities. In addition, artificial intelligence reduces people's burden by automating daily manual operations. For enterprises, it is becoming a business intelligence tool or a mechanism to defend against network attacks. Artificial intelligence can be applied to all fields from writing articles to early detection of diseases. Although there are differences between the two technologies, they can complement each other and eliminate their shortcomings. Therefore, blockchain will create more trust and maintain security and privacy on the artificial intelligence platform. Artificial intelligence will strengthen the protection of transactions and contribute to the monetization of information.
        Blockchain will also clarify the work of artificial intelligence by recording in detail the data on which intelligent algorithms make decisions. In turn, AI can support the scalability of blockchain applications by automating the management procedures of decentralized networks. It allows enterprises to collect, analyze and apply the data they receive, while blockchain allows them to check, record and perform certain operations. Artificial intelligence and blockchain are like the Yin and Yang of the digital world, providing enterprises with missing harmony. Yoavvilner said that these technologies complement each other, and entrepreneurs should explore their implementation plans to have a deeper understanding of the business. Blockchain is considered a synonym for security because each block in the chain is encrypted using a hash algorithm.
        Decrypting the data is almost impossible because a unique key is created for each block. In addition, this key changes when new blocks are added to the chain. Users have personal keys to access information and public keys to conduct transactions. AI strengthens the existing blockchain security mechanism and minimizes the attack risk. An intelligent algorithm analyzes exceptions in blockchain, and in the future, it will learn how to handle encrypted data. It will analyze the array of protected data and find potential bottlenecks so that developers can deal with them. For example, suppose a person invests a fixed amount in EFT every month. Suddenly, an investment is more than 10 times the usual amount.
        Artificial intelligence evaluates such transactions as suspicious transactions and triggers an anti fraud mechanism to stop abnormal activities in a timely manner. Interpretability is one of the unsolved problems that hinder the wide adoption of artificial intelligence. When people don't understand why they want to propose a solution, it's difficult for them to rely on artificial intelligence. For greater confidence, people need the logical validity of the recommendations made by AI. Life is a method carefully designed by scientists to improve the transparency of AI, and attention technology is still far from ideal and is still under development. Blockchain claims to be the third and more reasonable solution to the interpretability problem of artificial intelligence. Blockchain can make secrets and incomprehensible things in AI work transparent and interpretable.
        The distributed database stores every decision made by AI in the form of blocks for users to view and analyze. At the same time, the decentralization of the registry and enhanced encryption ensure that information is protected from unauthorized access. When people begin to understand how the decision-making mechanism of artificial intelligence works, they will trust this technology more. In turn, this will accelerate the implementation of AI in health care, financial technology, logistics and other human activities. This move towards transparency will make AI driven blockchain medical applications a common practice. Logistics companies will launch infrastructure based on blockchain and artificial intelligence to monitor the supply chain in real time.
        Cadastral companies, such as landsteriet in Sweden, will use blockchain and artificial intelligence to store and track real estate sales documents. Soon, blockchain and AI may be able to meet the conditions stipulated in Article 22 of gdpr and WP29. One will receive an explanation of the decision and have the right to accept or challenge their control of AI. The amount of data generated by human beings is growing rapidly. According to statista experts, it will increase from 64 Ze bytes in 2020 to 180 Ze bytes in 2025. Such a huge data flow needs to be processed, analyzed and stored safely, and only access rights are provided to the owner.
        The data collected by enterprises may be related to individual customers, suppliers and products. They also need to be extracted and studied correctly for key business processes, key business forecasts and basic development decisions. AI takes over this function by processing data in a decentralized security network. At the same time, the integration of artificial intelligence and blockchain makes a new type of revenue possible &mdash& mdash; Monetization of personal data. Owners can store personal information in decentralized networks and sell it to interested parties: research institutions, medical institutions and other companies. For a certain number, users can open temporary access to personal data.
        Information sales platforms are creating markets for data that can be used for commercial purposes. Each organization will be able to take advantage of the integration of AI and blockchain in different ways, depending on the goals and types of underlying data. Companies that first adopt these technologies will see immediate results and gain an advantage over companies that are just beginning to introduce innovation. In order to keep the Internet running, the server needs to run 24 hours a day, 365 days a year. They need a continuous supply of electricity &mdash& mdash; It accounts for about 1% of the global supply, most of which is used to cool the data center. Planely estimates that maintaining the Internet will lead to 0.3% of global carbon dioxide emissions.
        Technology giants began to look for ways to reduce the negative impact on the environment. Therefore, Google has used the deepmind algorithm to manage the data center for more than 5 years. After training with a series of historical data, the neural network "knows" how to use the cooling system reasonably. As a result, Google managed to reduce energy consumption by 40%. Similar control mechanisms can be introduced in the mining process to cool large data centers. In this case, artificial intelligence will not only reduce environmental pollution, but also reduce the price of mining machines. The four AI and blockchain use cases mentioned above are not just theories. With the improvement of intelligent algorithms and decentralized ledgers, it will be possible to implement profitable business solutions.
        AI needs blockchain to show the working principle of intelligent algorithm. Blockchain benefits from stronger artificial intelligence defense, better smart contracts and lower power consumption. Soon, we will see discoveries related to the joint use of AI and blockchain.
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