Book Image

Intelligent Automation with IBM Cloud Pak for Business Automation

By : Allen Chan, Kevin Trinh, Guilhem Molines, Suzette Samoojh, Stephen Kinder
3 (1)
Book Image

Intelligent Automation with IBM Cloud Pak for Business Automation

3 (1)
By: Allen Chan, Kevin Trinh, Guilhem Molines, Suzette Samoojh, Stephen Kinder

Overview of this book

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.
Table of Contents (21 chapters)
1
Part 1: Business Automation and Cloud Pak Overview
6
Part 2: Use Cases and Best Practices
15
Part 3: Deployment Considerations

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Access Control Entries (ACEs) 85, 237

Access Control List (ACL) 85, 237

administrative eligibility 213

AI-based document processing systems

expectations, setting 267

AI prediction

decisions, combining with 224-226

Amazon Web Services (AWS) 383

OpenShift environments, managing on 379, 380

Apache Flink 363

Application Designer 51, 52

sections 52

applications

content, accessing 254-256

content, searching 254-256

Artificial Intelligence (AI) 4, 20

Association for Intelligent Information Management (AIIM) 83

attended bots 23, 103

authoring stack 376

automation

early validation, of potential improvements 78, 79

automation applications

continuous integration for 404

Automation Decision Services (ADS) 208

automation developer

language...