AI-Powered Automation

Architectures, Patterns, and Governance for Autonomous Systems
Erscheinungsjahr 2027
ISBN: 978-0-443-50996-4
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm

AI-Powered Automation: Architectures, Patterns, and Governance for Autonomous Systems explores the new frontiers that are created when artificial intelligence converges with quantum operations, sustainability, personalizing, and regulation. Artificial intelligence-powered automation brings intelligence, prediction, and decision-making into daily and difficult operations. AI-Powered Automation: Architectures, Patterns, and Governance for Autonomous Systems begins by explaining how decision-making systems can be enhanced through the use of neuro-symbolic AI, before discussing quantum workflow orchestration and autonomous governance. It goes on to consider AI-enabled sustainability automation, carbon-aware workload placement, and predictive modelling for resource-efficient systems, then examines when and how to integrate human decision-making into automated systems and when zero-touch AI automation is suitable. The book investigates the use of large language models for automation generation, covering LLM-based DevOps, RPA, and smart assistants, then explores how AI-automated digital twins evolve through feedback and optimization. It then addresses automation of legal, editorial, and research processes through AI agents and copilots - including the implications for IP, bias, and reliability - hyperpersonalized automation in user experience design and real-time automation adaptation based on individual behavioural models, before finishing with a look at autonomous enterprises: a future vision of self-operating organizations. Offering case studies from across a variety of industries, AI-Powered Automation: Architectures, Patterns, and Governance for Autonomous Systems resolves practical problems in compliance, sustainability, and orchestration to provide graduate students, researchers and professionals with a holistic understanding of how automation can adopt AI.

Autoren/Hrsg.

Rana, Milankumar

Pandey, Bishwajeet Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Elektronische Baugruppen, Elektronische Materialien
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung

Inhaltsverzeichnis

1. Introduction to AI-Powered Automation
2. Neuro-Symbolic AI for Decision-Making Systems
3. AI-Driven Automation in Quantum Workflow Orchestration
4. Autonomous Governance: AI for Compliance and Policy Enforcement
5. Carbon-Aware Automation and Sustainable AI Operations
6. Human-in-the-Loop Automation: Adaptive Hybrid Architectures
7. Zero-Touch AI Automation in Cloud-Edge Continuums
8. LLMs as Automation Architects: Prompt-Driven Workflow Design
9. Digital Twins for AI-Driven Process Optimization
10. AI-Powered Automation of Knowledge Work
11. Hyperpersonalized Automation in User Experience Design
12. Toward Autonomous Enterprises: A Future Vision

Über Autor(innen)

Pandey, Bishwajeet Kumar
Dr. Bishwajeet Pandey is a Professor at GL Bajaj Institute of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He holds an MTech in CSE from the IIIT, Gwalior, India, and a PhD in Computer Science from Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University Chandigarh, Jain University Bangalore, Astana IT University Kazakhstan, Eurasian National University Kazakhstan (QS World Rank 321), Walsh College USA, and UCSI University Malaysia (QS World Rank 265). Dr. Pandey is a prolific researcher, with 17 published books, 200+ research papers indexed in Scopus. He has garnered over 4100+ citations. His leadership roles include serving as the Research Head of the School of CSE at Jain University Bangalore from 2021 to 2023 and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science Bhimtal from 2020 to 2021. In 2023, Dr. Pandey was honored with the prestigious Professor of the Year Award at Lords Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.

Rana, Milankumar
Milankumar Rana is a Ph.D. researcher at the University of the Cumberlands and a full-time technology professional at FedEx, where he contributes to advanced data engineering and cloud solutions. He holds a Master of Science degree in Quantitative Methods and Management Science from Texas A&M University. With over 13 years of experience in the information technology sector, Rana has worked across a broad range of domains including cloud computing, data analytics, artificial intelligence, and enterprise systems.
He is a Senior Member of IEEE and actively involved in professional organizations. He currently serves as the Chair of the ACM Dallas Chapter, where he leads community engagement and knowledge-sharing initiatives. Rana has authored or co-authored nine peer-reviewed publications in reputed journals and conferences. His work was recognized internationally with the Innovation in Cloud and Computing Award at the London Metropolitan University Conference, highlighting his contributions to the advancement of intelligent systems.