How does blockchain support AI?

How does blockchain support AI? is profiled by BTW Media because published evidence links it to internet infrastructure, governance, operational dependencies, or market visibility.

• Blockchain, at its core, is a digital ledger or a distributed database that records transactions across multiple computers or nodes while Artificial Intelligence (AI) refers to the creation and development of computer systems that can perform tasks that typically require human intelligence.
• The relationship between Blockchain and AI is symbiotic, with each technology supporting and enhancing the capabilities of the other.
• Blockchain technology offers a variety of data platforms to establish a transparent and reliable data economy.

Blockchain is a shared, immutable ledger that provides an immediate, shared and transparent exchange of encrypted data simultaneously to multiple parties as they initiate and complete transactions. A blockchain network can track orders, payments, accounts, production and much more. Since permission members share a single view of the truth, they gain confidence and trust in their transactions with other businesses, along with new efficiencies and opportunities.

Artificial intelligence (AI) uses computers, data and sometimes machines to mimic the problem-solving and decision-making capabilities of the human mind. AI encompasses the sub-fields of machine learning and deep learning, which use AI algorithms that are trained on data to make predictions or classifications. The benefits of AI include automation of repetitive tasks, improved decision making and a better customer experience.

The relationship between blockchain and AI

There is just so much more data available when blockchain technology and AI are combined. Financial regulators would be able to carry out live audits and fraud detection thanks to blockchain and AI. On a particular blockchain network, decentralised apps can work closely with AI to identify and remove bot users, examine user behaviour, produce intricate user statistics, and carry out in-depth analyses of the actions of third-party apps.

Power comes from data. As more apps are added to blockchain networks, it will be possible to track their development and activity in previously unheard-of ways. Real-time analysis of it can yield insights into new businesses and facilitate the development of more profitable or effective growth models.

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The ability to monitor an economy in real time, made possible only by blockchain and artificial intelligence, can offer macroeconomic system insights that are otherwise unattainable. An industry’s entire economic growth could be monitored in real time, allowing policymakers and economists to identify widespread misconduct or develop pertinent policies. Subsidies from the government could be distributed while AI keeps an eye out for fraud.

More than 100 blockchain projects with AI are either underway or in the works. Certain ones employ artificial intelligence (AI) as a predictor, akin to conventional AI systems. These skills cover everything from hedge funds and spot stock trading to illness detection and prevention. Others are just bringing blockchain-based AI capabilities to a much broader extent. However, as more data is added to the chain, we will witness even more fascinating, instantaneous, and highly useful use cases similar to the ones just described. Blockchain networks will be the only platforms that can use these AI features.

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How does blockchain support AI?

Authenticity

Blockchain’s digital record offers insight into the framework behind AI and the provenance of the data that it is using, addressing the challenge of explainable AI. This insight helps improve trust in data integrity and in the recommendations that AI provides. Using blockchain to store and distribute AI models provides an audit trail, and pairing blockchain and AI can enhance data security.

Augmentation

AI can rapidly and comprehensively read, understand and correlate data at incredible speed, bringing a new level of intelligence to blockchain-based business networks. By providing access to large volumes of data from within and outside of the organisation, blockchain helps AI scale to provide more actionable insights, manage data usage and model sharing, and create a trustworthy and transparent data economy.

Automation

AI, automation and blockchain can bring new value to business processes that span multiple parties — removing friction, adding speed and increasing efficiency. For example, AI models embedded in smart contracts that are executed on a blockchain can take the following actions: Recommend expired products to recall; Execute transactions — such as re-orders, payments or stock purchases based on set thresholds and events; Resolve disputes; Select the most sustainable shipping method.

The integration of blockchain and AI represents a powerful relationship that holds immense potential for data transformation. Blockchain technology provides a numerous data platform for creating a trustworthy and transparent data economy.