"Hyperautomation with Generative AI" by Navdeep Singh Gill is a modern guide that explores how to combine the capabilities of hyperautomation and generative AI to create resilient and intelligent business processes. The author explains how to build automation pipelines using RPA, machine learning, intelligent document processing, and generative models, including LLMs and diffusion models.
The book is aimed at those who want to go beyond classic automation and leverage AI not only to optimize operations but also to create new value-driven products within a business. It combines theory and practice, offering step-by-step analysis of solution architectures, approaches to integrating Generative AI into automation pipelines, and methods to increase system scalability.
Download "Hyperautomation with Generative AI" in PDF for free today. This is essential reading for automation specialists, AI engineers, digital solution architects, and business analysts who want to master tomorrow’s technologies today.
Who Is "Hyperautomation with Generative AI" For?
The book is recommended for automation engineers, AI solution architects, and business strategists aiming to build flexible, scalable, and intelligent business platforms. It will be particularly useful for:
- RPA and intelligent automation specialists planning to integrate Generative AI into workflows;
- Digital solution architects designing complex automation chains with AI;
- Data Science and AI teams looking to move from data analysis to generating business products;
- Business analysts and C-level managers seeking to enhance efficiency through hyperautomation;
- AI automation startups focused on speed, flexibility, and adapting AI into business models.
This guide offers a strategic perspective on next-generation automation, grounded in real-world scenarios and technological foundations.
What’s Inside the Book?
- Introduction to hyperautomation: Concepts, key components, and the role of AI in modern automation.
- System architecture for hyperautomation: Integrating RPA, Process Mining, Intelligent Document Processing, and Generative AI.
- Applying generative models: Utilizing LLMs, image generation, data synthesis, and text creation in automation workflows.
- Orchestrating AI and RPA pipelines: Building interactions between models, bots, and business processes.
- Security and ethics in hyperautomation: Handling private data, safeguarding confidentiality, and controlling generative outputs.
- Scaling strategies: Pilots, proofs of concept (PoC), deployment, and scaling AI-automated processes in large organizations.
- Case studies and practical examples: Implementations across finance, healthcare, retail, and manufacturing sectors.
More About the Author of the Book
The Developer's Opinion About the Book
This book explores how generative AI accelerates hyperautomation across business processes. It includes case studies in document automation, customer service, and decision modeling. After reading, you’ll understand how to identify automation opportunities and implement AI-enhanced workflows. Suitable for AI consultants and enterprise architects. It also covers integration with RPA tools, governance, and workflow orchestration to drive measurable efficiency gains in real-world systems.
Sarah Bennett, Machine Learning Developer
FAQ for "Hyperautomation with Generative AI"
1. Is prior experience with RPA or AI required?
Basic knowledge of automation principles and machine learning is helpful, but the book explains core concepts thoroughly. It is designed for a broad audience, from technical engineers to digital transformation strategists.
2. Are specific tools and platforms covered?
Yes. The author provides examples of integration with popular tools such as UiPath, Automation Anywhere, OpenAI API, Hugging Face, and other orchestration and data generation platforms. However, the primary focus is on architectures and principles rather than vendor-specific solutions.
3. Is the book suitable for building enterprise-grade solutions?
Absolutely. A major part of the book focuses on deploying hyperautomation within large business processes, building proofs of concept, scaling solutions, and addressing data security concerns.
4. Does the author discuss risks associated with Generative AI in automation?
Yes. Specific attention is given to risks such as generation quality, hallucinations, unpredictable outputs, and methods to control and monitor output quality.
5. Are there practical examples and step-by-step case studies?
Yes. The book includes numerous real-world scenarios, ranging from automating application processing to generating marketing materials and building intelligent customer support chatbots.
Information
| Author: | Navdeep Singh Gill | Language: | English |
| Publisher: | BPB Publications | ISBN-13: | 978-9355518590 |
| Publication Date: | September 26, 2023 | ISBN-10: | 9355518595 |
| Print Length: | 330 pages | Category: | Machine Learning and Artificial Intelligence Books |
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