School of Information Systems

Blockchain-Driven Information Systems in Enhancing Security and Efficiency with AI and ML

Blockchain technology has gained recognition for its ability to offer secure, transparent, and decentralized record-keeping. When combined with Artificial Intelligence (AI) and Machine Learning (ML), it creates even more powerful information systems, providing both efficiency and enhanced security. These integrations are transforming industries like finance, healthcare, and logistics by automating processes, analyzing data intelligently, and offering predictive insights. 

At its core, blockchain is a distributed ledger where transactions are securely recorded across multiple computers. This makes altering the data nearly impossible without consensus from the entire network, providing a high level of security. AI and ML come into play by processing these transactions quickly, identifying patterns, and making decisions in real time. For instance, in the financial sector, AI can analyze blockchain data to detect suspicious transactions, while ML models can continuously learn from the data to improve fraud detection. A notable example is JPMorgan’s “Onyx” blockchain-based payment system, which leverages AI to monitor transactions, ensuring both speed and security in high-volume transactions. 

In supply chain management, blockchain ensures all transactions such as shipping or inventory updates are securely recorded and visible to all stakeholders. AI can then analyze this data to suggest optimized routes or forecast potential disruptions, and ML can learn from these patterns to improve accuracy over time. Walmart, for instance, uses blockchain to trace food safety issues across its supply chain, while AI systems analyze the data to ensure timely deliveries and reduce waste. 

Healthcare is another field benefiting from this combination. Blockchain can store patient records securely, ensuring only authorized parties have access. Meanwhile, AI and ML help diagnose diseases by analyzing patterns in medical data. Estonia, known for its e-health systems, uses blockchain to secure over one million medical records, while AI helps predict treatment plans and potential health risks. 

As industries continue to evolve, the integration of blockchain, AI, and ML will become more widespread. The blend of security, efficiency, and intelligent decision-making is helping businesses optimize processes and reduce risks. These real-world implementations show the potential of blockchain-driven information systems in creating smarter, more secure, and efficient solutions for various sectors. 

 In conclusion, the combination of blockchain with AI and ML is reshaping how we store, process, and protect information. By ensuring security while automating and improving efficiency, this trio of technologies is proving to be a game-changer in numerous industries, offering tangible benefits and setting the stage for future innovation. 

Irene Pheeny Fionalia