- ホーム
- > 洋書
- > ドイツ書
- > Social Sciences, Jurisprudence & Economy
- > Economy
- > management
Description
(Text)
This guidebook offers a pragmatic roadmap that helps teams scale agentic AI across the enterprise, including digital product development. Part 1 follows a structured seven-day arc to guide professionals through RE fundamentals elaboration, documentation, quality assurance, and ongoing management while showing where GenAI adds real value. It contrasts agile and waterfall approaches and grounds theory in practice-ready examples. Part 2 explores the evolution of AI into the agentic era, emphasizing trustworthy and green AI as pillars for responsible adoption. It presents a playbook for scaling beyond pilots, reshaping operating models, and embedding agent engineering. A novel product-by-development-process matrix illustrates how agentic technologies enhance both digital products and the way they are built.
This book is specially designed to address the needs of product managers, requirements engineers, enterprise architects, and digital transformation leaders.
(Table of content)
Structured and GenAI Enhanced Requirements Engineering: Prologue.- Understanding the Need for Professional RE.- Day 1: Starting Requirements Engineering.- Day 2: Planning RE in the Project.- Day 3: Finding a Starting Point.- Day 4: Gathering Requirements.- Day 5: Documenting Requirements.- Day 6: Implementing Requirements in Agile Projects.- Day 7: Quality Assurance and Requirements Management.- From Requirements to Results: Key Take Aways.- The AI Revolution: From Early Milestones to Generative and Agentic Intelligence.- Trustworthy AI: Considerations on Ethics, Regulation, and Green IT.- GenAI Transformation in Enterprises: From Use Cases to Cultural Change.- Prompt and Agent Engineering.- Connecting Requirements Engineering to Agentic Development.- Final LLM Thoughts.
(Author portrait)
Jens Kawelke has over 25 years of experience in IT projects, and is a seasoned requirements engineer who has been successfully supporting his clients in software development projects for a long time. He built a large requirements engineering (RE) team at NTT DATA and methodically expanded it to include topics such as UI and UX design and artificial intelligence. Additionally, he is active as a trainer for Gen AI and RE while establishing a strong training team in the company's own academy.
Thomas Niebisch is an experienced project manager and consultant with a career spanning over 30 years in process management and requirements engineering. After studying computer science, he worked in various roles, such as IT consultant, process consultant, and requirements engineer. Since 2004, he has been a certified requirements engineer. He is currently working as a process architect at an IT service provider. He shared his expertise in process management in his book "360-Degree Process Management."
