AI and Blockchain Synergy
Himanshu Tyagi, Pawan Kumar Goel, Akansha Gautam, Abhishek Agarwal, Sandhya Samant · Advances in computational intelligence and robotics book series · 2025
This chapter explores the convergence of AI and blockchain in industrial automation, highlighting advancements in security, efficiency, and transparency. It outlines AI's role in predictive maintenance, anomaly detection, and intelligent decision-making, alongside blockchain's strengths in data integrity, tamper-proof records, and automated compliance. A multi-layered architecture is proposed for seamless integration, addressing scalability, complexity, and legal hurdles. Real-world use cases include secure predictive maintenance, fraud detection, decentralized identity, and supply chain automation. Emerging trends such as federated learning, AI-powered smart contracts, and zero-trust architectures are also discussed, showcasing the transformative potential of combining AI and blockchain.