知的オートメーション:ビジネスとアカデミアのギャップをつなぐ<br>Intelligent Automation : Bridging the Gap between Business and Academia

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知的オートメーション:ビジネスとアカデミアのギャップをつなぐ
Intelligent Automation : Bridging the Gap between Business and Academia

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  • 製本 Hardcover:ハードカバー版/ページ数 234 p.
  • 言語 ENG
  • 商品コード 9781032231754
  • DDC分類 658.0563

Full Description

Since prehistoric times, humans have invented ways to simplify daily activities to improve productivity. The most recent milestone in this journey is robotic process automation (RPA), helping to build software robots that can be leveraged to automate mundane and repetitive tasks that can be labor-intensive and prone to errors. In recent years, RPA has been integrated with emerging artificial intelligence (AI) and machine learning (ML) technologies to create what is referred to as intelligent automation (IA), emulating human actions and decision-making abilities. This book addresses the critical questions about the rise, usage, and future of IA practices.

This book is structured by general personas considered as its primary target audience, ranging from:

Early-stage practitioners seeking to learn effective management of IA programs
Established IA practitioners seeking to drive maturity and scale
Business leaders seeking to understand how to drive business value using IA
Practitioners or academicians seeking to collaborate

This book is strongly recommended for practitioners seeking to plan, implement, and scale IA practices in their organization and for researchers and students who intend to study strategy, implementation, and management of IA practice to accelerate the digital transformation agenda.

Contents

Author Testimonials. Foreword. Acknowledgements. Editors. Contributors. Introduction. Chapter 1 Introduction: The RPA Big Bang. Chapter 2 The Value of Business Process Discovery. Chapter 3 Future of Work: Automation and Implications for Academia and Business. Chapter 4 Intelligent Automation Accessibility and Applicability. Chapter 5 Technology Only Does Not Yield Success: Humble Culture Drives Success in IA. Chapter 6 Intelligent Automation Implementation in Business. Chapter 7 Challenges Scaling IA - The Race to IA Takes Off. Chapter 8 Intelligent Automation Unleashes Diversity and New Ways of Learning. Chapter 9 Automation Is Here to Stay. Chapter 10 Periscope into the Future. ACRONYMS. REFERENCES. INDEX.

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