AI Blockchain

Vishal Bachani

Fri Mar 24 2023

Vishal Bachani


Blockchain technology and artificial intelligence (AI) are two of the most promising and disruptive technologies of our time. While blockchain is a distributed ledger technology that allows for secure, transparent, and tamper-proof record-keeping, AI refers to the development of intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. 

While these two technologies may seem unrelated at first glance, they can actually complement each other quite well. This blog will explore the relationship between blockchain and AI and how they can be used together to create new opportunities and solve complex problems.

AI can improve blockchain Efficiency

Blockchain transactions are validated by miners, who use their computing power to try different character combinations to guess the correct one and receive a reward. However, the money is only given to the first miner to find the combination, and the power expended by the other miners is squandered. Instead of wasting time and power trying each variant, AI trained with machine learning algorithms will be able to guess the code intelligently in the future. This will expedite and reduce the cost of validation.

How AI Can Help Blockchain

The combination of AI and blockchain results in the most dependable technology-enabled decision-making system in the world, which is virtually tamper-proof and provides solid insights and decisions. It has several advantages, including:

  • Improved business data models

  • Globalized verification systems

  • Innovative audits and compliance systems

  • Smarter Finance

  • Transparent governance

  • Intelligent retail

  • Intelligent predictive analysis

  • How do AI and blockchain technology complement each other?

    AI can enhance the efficiency and accuracy of blockchain-based applications by providing intelligent automation and decision-making capabilities. For example, AI can be used to automate the validation of transactions and contracts on a blockchain network, reducing the need for human intervention and improving the speed and accuracy of the process.

    Blockchain technology can provide a secure and transparent platform for storing and sharing data used by AI algorithms. This can ensure that the data used to train AI models is authentic, reliable, and tamper-proof. Additionally, blockchain can enable data sharing and monetization by creating a decentralized marketplace where data owners can sell their data directly to AI developers or users without intermediaries.

    AI can help improve the governance and security of blockchain networks by providing real-time monitoring and analysis of network activity. For example, AI can detect and respond to security threats or anomalous behavior on a blockchain network, reducing the risk of fraud detection or attack. Blockchain technology can help address ethical concerns around AI, such as privacy, ownership, and accountability. By using blockchain to create a transparent and auditable record of AI activity, stakeholders can have more confidence in the fairness and legality of AI decisions.

    The Benefits of Combining AI and Blockchain

    Combining AI and blockchain technology has the potential to provide several benefits, including:

    1. Improved security:

    Blockchain technology is inherently secure, and when combined with AI, it can add an extra layer of protection for sensitive data and transactions.

    2. Increased transparency:

    Blockchain technology is based on a decentralized system, and when combined with AI, it can provide more transparency in processes and decision-making.

    3. Enhanced automation:

    When combined with blockchain technology, AI can automate processes and decision-making securely and transparently.

    4. Better data management:

    When combined with AI, blockchain technology can provide a more efficient and effective way to manage and store data.

    5. Improved scalability:

    Blockchain technology is designed to be highly scalable, and when combined with AI, it can provide a decentralized way of handling large amounts of data privacy and transactions.

    Real-World Examples:

    1. Finalize:

    Finalize is a software platform that builds applications for improving civil infrastructure using blockchain and machine learning. The company's tools automate and accelerate workflow, management, and verification processes in the construction industry, and its technology also integrates with wearables to meet safety regulations. Finalize aims to increase the efficiency of critical processes while maximizing ROI in an industry whose revenues are expected to reach $15.5 trillion by 2028.

    2. Blackbox AI:

    Blackbox AI is a company that creates artificial intelligence tools for emerging technologies. Engineers at the company design a personalized information architecture that powers everything from machine learning and natural language processing to blockchain tools. Aside from developing blockchain infrastructure, the company also provides consultation services that focus on how its products can maximize the potential of a blockchain. Engineers at Blackbox AI come from the world's largest tech companies (including Apple, Intel, NVIDIA, and MIT). They have created AI-based tools for everything from virtual reality to natural language processing.

    Also Read: ChatGPT Playground- Great Boom in the AI 2023 onwards


    Integrating blockchain technology and AI is the most sought-after technology in current business scenarios. It can effectively help the organization improve and grow. Businesses must devote sufficient time and effort to learning blockchain technologies and comprehending their applications. This is the only way to survive in an ever-changing and competitive market.

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