Standard Blub: The book discusses the difficulties and factors to be considered when putting artificial intelligence-powered data-driven decision-making systems into practice, such as data protection, ethics, and the requirement for transparency. The book provides a road map for navigating these issues, giving organizations the information and resources they need to fully utilize artificial intelligence’s promise to spur innovation and long-term prosperity. • It focuses on availing a sustainable and safe ecosystem through intelligent methods to secure business privacy by including numerous machine learning engines. • Discusses artificial intelligence-powered data-driven intelligent heuristics for improving and advancing real-time business sustainability.



It includes chapters to stabilize the vulnerability in the distributed systems and enhance the scope of data-driven decisions for navigating industrial 5.0 standards.
Explains artificial intelligence-powered predictive analytics for market trends and applications of artificial intelligence in operational optimization.
Illustrates intelligent transportation with artificial intelligence-powered business and artificial intelligence-powered supply chain with traffic congestion.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, agriculture engineering, business management, computer science, and engineering, manufacturing engineering, and industrial engineering.