Intro
Both AI and blockchain have now become commonplace, as at least 78% of companies now use AI in some capacity. Similarly, PWC expects up to 15% of global infrastructure to rely on blockchain within five years. Despite this widespread popularity, both technologies still have plenty to offer and a lot of variety. Both have their unique value and together they work wonders.
For example, AI and deep learning models can analyze massive data clusters, build long-term forecasts, and inform decision-making even for large enterprises. Meanwhile, blockchain lets one establish a fully transparent and decentralized system for data storage. This can be helpful for business transactions and building trust between companies.
Combining blockchain technology with AI can change day-to-day enterprise operations, boosting them in brand-new ways. Things like higher productivity, task automation, stronger security for data transfers - all of those are possible use cases for AI and blockchain combos.
Here are just a few examples of future trends that mixing AI with blockchain enables:
- Informed transactions. AI can deliver faster market analytics, up to and including real-time insights, making it possible to trade smarter.
- Decentralized Finance. The combo makes perfect fraud detection and risk assessment possible, strengthening financial decisions. This improves personalization and opens up the potential for sprawling financial platforms.
- Automated dApps. Blockchain makes decentralized apps possible, but bringing AI in allows one to automate operations. This establishes autonomous, reliable software that can run with minimal human input, streamlining day-to-day operations.
In this post, we will show the benefits of using AI and blockchain as a powerful tandem. We’ll talk about using smart contracts, automating with AI, and securing with blockchain. Our guide will also include tips on combining the two technologies efficiently. Without further ado, let’s discuss the strongest benefits of merging AI and blockchain.
How Blockchain and AI Work Together: The Future of Secure and Intelligent Systems
The core of AI and blockchain merging is combining their separate strengths. In this case, AI brings a smart, analytical approach, while blockchain guarantees security. Here is how the two can work together to create better, more reliable ecosystems.
Blockchain technology is all about decentralization, removing the power of total control from one entity and distributing it to all involved. By adding AI into the mix, you can keep your data protected behind blockchain-based features while speeding up authentication with automated checks.
Plus, all the reliable, immutable information that blockchain stores within itself can be fed to your AI-based algorithms for analytics. Thanks to it being stored securely in a blockchain ledger, there is no worry of data being inaccurate or meddled with. As a result, companies can put more trust in their AI analytics and drive their decisions based solely on that.
Other use cases involve using AI to bolster blockchain’s work, providing a pipeline to feed information into the ledgers, establishing identity checks, and enabling data sharing. Though data stored within the blockchain is secure, it can be shared responsibly with authorized parties. In this scenario, AI would work as a second layer of authentication and security.
Lastly, AI has the potential to boost smart contracts by adding more complex conditions, which will be automatically checked or performed with the algorithm’s help. AI can also speed up verification, updating contracts in real time according to actions taken by network users.
Benefit #1 — Control and explain AI decisions
Humans can find it difficult to comprehend AI-driven decisions. This is mostly because AI solutions autonomously analyze huge sets of variables to determine those that are essential to reaching the overall goal.
For instance, AI algorithms are employed to analyze payments and transactions to identify fraudulent activities. If any are found, they must be immediately blocked. Until recently, specialists had to check the accuracy of transaction data manually.
However, with AI-driven decisions recorded inside a blockchain, auditing them is easy and fast. The decision-making flow can be recorded in a blockchain to achieve the degree of transparency and insight into AI decision-making that is necessary to gain public confidence.
Benefit #2 — Improve credibility
The blockchain has lots of benefits over other types of data storage. But the main challenge today is collecting input data to train a neural network. Users publicly share massive amounts of data online, but the quality of all this unstructured data is far from perfect. Such well-known companies as Facebook and Google use many computational techniques to try to avoid collecting and storing faulty information. Adversarial attacks can also reach the internal stores.
When integrating blockchain development with AI, various errors can be dealt with using encrypted data, digital signatures, and triple-entry accounting. By combining advanced cryptographic technologies with hashes and digital signatures, we may obtain dependable data in the face of technological limitations. As a result, we can confidently state that a certain dataset existed at a specific moment and has been unchanged.
Digital signatures confirm a hash by recording who created the stamp. Private keys allow for digital signatures and are subsequently verified using public keys, which take on the role of identifiers for the private keys.
Triple-entry accounting allows for composing cryptographically enclosed records such as invoices, receipts, or payments, distributing the underlying information among all involved parties. In this case, the software can work on the basis of credible information from other users.
Benefit #3 — Improve security
In 2021, the European blockchain market brought in around $2 billion in revenue. And the numbers are growing steadily, mainly due to the huge range of advantages the blockchain provides. Reinforced security is among the top benefits. Blockchain-stored data is protected with built-in encryption mechanisms.
A blockchain is efficient for recording personal data such as medical notes or individual recommendations. And data is what AI systems require in huge amounts — and regularly. Experts are now hard at work on algorithms and techniques that would enable AI to interact with encrypted data and not expose it in any way.
While a blockchain is highly secure, applications it works with can be vulnerable. This is exactly where the incorporation of AI development might be a game-changer. For instance, in finance, AI solutions can boost the deployment of blockchain apps. Beyond this, it can also help to predict cybersecurity breaches.
Benefit #4 — Manage and store huge arrays of data
Although this benefit is related to improved security, we can’t pass it by. A distributed ledger can store encrypted data, while AI offers powers for managing that data productively. New use cases appear as a result. You may safely store personal information on the blockchain and distribute access to it.
Companies such as Amazon and Facebook deal with extremely large quantities of data on a daily basis. With the blockchain and AI combined, all of this data can be protected so that third parties cannot access it in any way.
Another benefit of using such a stack is the ability to enhance the way users deal with data. Here’s how it works. Computers use various combinations of characters to analyze encrypted information and finally verify a transaction. In this case, AI traces code and learns this information. And AI does it faster than the human brain. More often than not, it happens almost instantly.
For example, Core Scientific is already using AI infrastructure based on a personalized blockchain with their business networks, helping them monitor the supply chain and get reports in real time.
Benefit #5 — Control blockchains more effectively
In terms of blockchain management, AI outuns both human and computer capabilities. As swift as computers can be in their operations, manipulating blockchain data on hardware devices still requires intense processing power, mainly due to the encrypted nature of the data processed.
This is where AI might be a game-changer, as intelligent technologies allow users to control tasks faster and more intelligently. This enables users to be more effective and focus on more important tasks.
Benefit #6 — Enhance the quality of smart contracts
Smart contracts were introduced not long ago, and they may not work as well as we would like. Artificial intelligence can easily check all smart contract decisions. We can see that smart contract technology is vulnerable to hackers and that it makes poor decisions influenced by outside factors. You may use AI or blockchain technologies to identify these factors and make the right decisions.
Benefit #7 — Get easier access to shared databases
Many companies use a common database to successfully run their operations. For instance, banks prefer a common database because it allows them to verify the accuracy of data submitted by users and makes it easier to check credit histories.
However, the blockchain combined with AI can make it easier. An AI algorithm can easily make a decision on approving a loan or issuing funds. And the blockchain keeps data safe. All this makes access to a shared database easier. A similar system can be developed for absolutely any company and keep information about it in one place.
For example, Bext360 uses the blockchain and AI to improve supply chain transparency in the mineral, timber, and coffee industries. The company’s AI monitors the state of crops and predicts growing patterns for various cultures. Meanwhile, a blockchain efficiently records and stores data on supply chain dynamics.
How AI-Driven Smart Contracts Are Changing Industries
Mixing AI with blockchain to improve smart contracts is a logical step and shakes up how contracts work in general. We’ve already mentioned the possibility of more complicated, multi-level conditions, but that is far from all.
The combination of AI and blockchain has the potential to make contracts a kind of autonomous mini-system that works independently of the other parts of the business. In fact, AI can also help smart contracts adapt and evolve, so to speak. If a contract faces specific disruption attempts, it will learn to block out specific triggers and enhance its security.
Adding AI into blockchain technology also allows a smart contract to change on the fly, reacting to user actions in real time. In short, AI literally makes contracts smarter and expands the possibilities of their autonomous work.
These improvements broaden the potential use cases for smart contract solutions, making them more viable in different industries. Examples include:
- Supply chain optimization;
- Financial transaction automation;
- Legal document processing.
Blockchain can also scale well, so it can be applied to massive institutions as well as small businesses. AI algorithms can help companies assess how effective contacts are in their particular cases and decide how to use them optimally. In short, combining the strengths of blockchain and AI will create more opportunities.
As a result, smart contract use will hopefully become more popular as they can be relied on for more varied and complex scenarios. Their utility as a tool expands and, with further AI improvements, they can only keep growing.
Exploring Blockchain and AI Applications: Use Cases
Merging AI and blockchain can benefit businesses in various industries. Below, you'll find five use case examples of how AI empowers the blockchain and vice versa.
Smart Contract Optimization
AI-powered tools can analyze historical data and use predictive analysis to detect potential challenges to executing contract requirements — thus making smart contracts more effective. Natural language processing (NLP) allows smart contracts to process and decipher plain legal contracts. One example of a business that implements blockchain and AI in smart contract optimization is Scifn, formerly known as Chainhaus. This blockchain and AI advisory firm provides services in building and maintaining blockchain infrastructures.
Market Trends and Predictions
AI detects correlations and patterns in crypto historical data to anticipate prospective price changes. This information is useful for investors to bet against future market changes or hedge their funds. Neureal, for example, is a prediction engine that helps analyze trends and leverages AI in blockchain to forecast anything from a Google search to stock market changes.
Data Integrity
AI can verify the accuracy of the off-chain smart contract data sources before you can store it on-chain. Smart contracts powered by AI can decipher complex legal terms and conditions, minimize legal ambiguities, and assure regulatory framework compliance. Blackbird.AI, for instance, uses AI to confirm off-chain news content for businesses in the information and communication space and uses blockchain technology to store verified content.
Blockchain Security
Apart from cryptography, which blockchain technology uses to confirm and secure transactions, AI now has the potential to add an extra security layer. This can be possible through monitoring transactions and network activities, real-time anomaly detection, and immediately triggering mitigation measures. CertiK is leveraging AI to secure and audit smart contracts or decentralized apps.
Conclusion
AI and the blockchain are powerful technologies that can change the world we live in. When used together, they have the chance to become even more capable. Today, some countries are already building smart city systems based on IoT, the blockchain, machine learning, and artificial intelligence.
The blockchain has the potential to simplify work with AI solutions and dramatically speed up their development.
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