Using a Generic Artificial Intelligence Pattern for Business Transformation

This book presents a cross-business domain Generic Artificial Intelligence Pattern (GAIP) that imitates the human brain and can be used to implement a complex decision-making system. It is supported by real-life cases and promotes a holistic AI global strategy. It is important for business managers, analysts, project engineers, and architects, as well as researchers, students, and academicians.

Format: Hardback
Length: 300 pages
Publication date: 30 November 2022
Publisher: IGI Global

This comprehensive book presents a groundbreaking Generic Artificial Intelligence Pattern (GAIP), the culmination of a lifetime of research on business transformations, artificial intelligence, algorithmics, applied mathematics, software modeling, business engineering, financial analysis, and global enterprise architecture. The proposed GAIP formalism aims to emulate the human brain, a process primarily rooted in the beam-search heuristic decision-making process, encompassing Big Data management and concepts like machine learning. By leveraging the proposed GAIP, organizations can implement a sophisticated decision-making system that seamlessly integrates with their business information and communication technology environments.

The GAIP employs a behavior-driven development environment or natural language programming, making it easily accessible to development teams. The Applied Holistic Mathematical Model (AHMM) subsystem provides a high-level implementation environment that enables team members, regardless of their background in computer sciences, to utilize it effectively. This versatility allows the GAIP to be applied to model avant-garde enterprise architecture blueprints, business transformation projects, and decision-making systems across various business domains.

What sets this research apart is its holistic approach to artificial intelligence, promoting the unbundling and alignment of enterprise business and architecture standards and strategies to support business transformation processes. This research holds significant importance for business managers, analysts, project engineers, business environment architects, researchers, students, and academicians alike. By delving into the intricacies of the GAIP, readers can gain valuable insights into the future of AI and its potential to drive innovation and growth in the business world.

ISBN-13: 9781799872146