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Five ways AI and blockchain make an unstoppable team in finance

Two techs work in tandem for faster transaction times, reduced costs, and enhanced scalability

Olayinka SodiqProfile
By Olayinka SodiqOct. 30th - 5pm
4 min read
Image representing AI

AI and blockchain are two revolutionary technologies that, when combined, form a powerful duo reshaping the future of finance.

AI excels at data processing and identifying patterns, while blockchain ensures transparency and security through its decentralized network. Here's how they combine to solve key challenges and make the financial system better:

1. Making blockchains faster and more efficient

One of the challenges with blockchain is that it can be slow, especially as more users join the network. This often leads to issues such as delayed transaction validation, limited block size, and high latency.

AI addresses these challenges by predicting network congestion and optimizing data management, which speeds up transactions. For example, Fetch.AI, a platform that integrates blockchain with AI, uses predictive algorithms to manage transaction loads more efficiently.

This approach accelerates transaction times, reduces costs, and enhances scalability, making blockchain networks faster and more adaptable.

2. Enhancing security and stopping fraud

While blockchain offers excellent security, AI adds an extra layer of protection by detecting and preventing fraud. AI excels at analyzing large datasets to identify suspicious patterns that might indicate fraudulent activity. For example, HSBC partnered with AI startup Ayasdi to enhance fraud detection and transaction monitoring.

Similarly, Mastercard employs AI to identify and prevent fraud, having stopped more than $35 billion in fraudulent activities in recent years. This combination of AI and blockchain significantly strengthens financial security.

3. Protecting data privacy

Blockchain's transparency is beneficial for accountability but poses risks for sensitive data, particularly in finance and healthcare. AI helps address this by using advanced encryption methods that protect private information without sacrificing transparency.

 One such technique is zero-knowledge proofs (ZKPs), which allow transactions to be verified without exposing any private details. This integration ensures that blockchain can maintain its transparent nature while safeguarding sensitive data.

4. Ensuring trustworthy AI decisions

AI systems rely on accurate data to make sound decisions, but if that data is compromised, the consequences can be severe. Blockchain offers a solution by securely storing data in an unchangeable format, ensuring that AI systems have access to reliable information.

In healthcare, for instance, IBM leverages blockchain to maintain the integrity of medical records, leading to more accurate AI-driven diagnoses and treatment plans. This ensures that AI decisions are based on trustworthy data, reducing the risk of errors.

5. Making AI more transparent

AI is often criticized for being a "black box", where the decision-making process is difficult to understand. Blockchain can address this issue by recording every step of the AI process, making it transparent and auditable.

Ocean Protocol, a blockchain platform, exemplifies this by tracking the data used by AI systems, ensuring that every decision can be reviewed and verified. AI and blockchain work together to make financial systems more efficient, secure, and transparent. This partnership helps build a more trustworthy financial future.

Challenges and considerations

Integrating blockchain and AI in finance comes with several challenges. First, both technologies are complex, and getting them to work together smoothly takes time and effort.

Each system needs to be carefully aligned to ensure they function well together. Another challenge is the lack of clear regulations. Since AI and blockchain are still relatively new in finance, the rules governing their use are still being developed. This uncertainty can slow down their adoption.

Cost is also a major factor. Implementing and maintaining AI and blockchain requires a significant investment, which can be especially tough for smaller financial institutions. The need for development, infrastructure, and skilled professionals can make these technologies expensive and less accessible.

Finally, ethical concerns must be considered and addressed. AI can sometimes produce biased outcomes, and the unchangeable nature of blockchain can make it hard to correct. It's important to ensure that both technologies are used in a fair and responsible way to maintain ethical standards.

The future of finance with blockchain and AI

Looking ahead, blockchain and AI are set to revolutionize the finance sector in exciting ways. AI is making it easier to predict how markets will move and what customers will do. This means smarter decisions and better outcomes.

Meanwhile, blockchain is paving the way for decentralized finance (DeFi). This new approach allows people to handle financial transactions directly without needing traditional banks or middlemen.

To take full advantage of these breakthroughs, financial institutions need to keep learning and adapting to new technologies. Being open to new ideas and methods is key to staying ahead.

As blockchain and AI become more central to finance, they promise a future that’s not only smarter and more efficient but also fairer and more transparent for everyone.

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