Book Description

COVID-19 has made many businesses change how they work, change how they engage their customers, and even change their products. Several of these businesses have also recognized the need to make these changes within days as opposed to months or weeks. This has resulted in an unprecedented pace of digital transformation; and success, in many cases, depends on how quickly an organization can react to real-time decisions.

This book begins by introducing you to IBM Cloud Pak for Business Automation, providing a hands-on approach to project implementation. As you progress through the chapters, you'll learn to take on business problems and identify the relevant technology and starting point. Next, you'll find out how to engage both the business and IT community to better understand business problems, as well as explore practical ways to start implementing your first automation project. In addition, the book will show you how to create task automation, interactive chatbots, workflow automation, and document processing. Finally, you'll discover deployment best practices that'll help you support highly available and resilient solutions.

By the end of this book, you'll have a firm grasp on the types of business problems that can be solved with IBM Cloud Pak for Business Automation.

What you will learn

• Understand key IBM automation technologies and learn how to apply them
• Cover the end-to-end journey of creating an automation solution from concept to deployment
• Understand the features and capabilities of workflow, decisions, RPA, business applications, and document processing with AI
• Analyze your business processes and discover automation opportunities with process mining
• Set up content management solutions that meet business, regulatory, and compliance needs
• Understand deployment environments supported by IBM Cloud Pak for Business Automation

Who this book is for

This book is for robotic process automation (RPA) professionals and automation consultants who want to accelerate the digital transformation of their businesses using IBM automation. This book is also useful for solutions architects or enterprise architects looking for best practices to build resilient and scalable AI-driven automation solutions. A basic understanding of business processes, low-code visual modeling techniques, RPA, and AI concepts is assumed.

About the authors

Allen Chan works as an IBM Distinguished Engineer and CTO for IBM Business Automation and Watson Orchestrate. He is responsible for defining and directing the technical strategy of IBM Cloud Pak for Business Automation. His educational background includes B.Sc., Computer and Electrical Engineering at Purdue University, United States, and M.Sc., Electrical and Computer Engineering at the University of Toronto, Canada.

Kevin Trinh works as the Chief Architect for IBM Cloud Pak for Business Automation Adoption and Deployment. He is a member of the IBM Business Automation CTO Office and is responsible for defining the cloud adoption strategy for IBM Cloud Pak for Business Automation. His work experience includes 3 years as a cloud integration architect, and 18 years in FileNet development. His educational background includes a Bachelor of Science in Accounting, from the University of the Pacific, United States.

Guilhem Molines works as the Chief Architect for IBM Decision Services as a Senior Technical Staff Member, and is a member of the IBM Business Automation CTO Office. He has been working in the Automation/Decision industry for the last 15 years. His educational background includes an M.Sc, in Computer Sciences and Artificial Intelligence, from the University of Paris VI, France.

Suzette Samoojh works as an IBM Architect and is a member of the IBM Business Automation CTO Office. She led the architecture and product roadmap for IBM Blueworks Live and is currently leading the SaaS and digital onboarding strategy for IBM Watson Orchestrate. Her educational background includes a B.Sc. in Computer Science from the University of Toronto, Canada.

Stephen Kinder works as an RPA Architect and is a member of the IBM Business Automation CTO office. His work experience includes WebSphere Architecture, IBM SOA Foundation, and WebSphere as a Service SaaS Architect. His educational background includes B.S. Computer Science, California State University, Sacramento, United States.