Intelligent automation with IBM Cloud Pak for business automation a practical guide to automating enterprise business workflows to deliver intelligent solutions

Leverage the low-code/no-code approach in IBM Cloud Pak for business automation to accelerate your organization's digital transformation Purchase of the print or Kindle book includes a free eBook PDF Key Features Get a comprehensive understanding of IBM Cloud Pak for Business Automation Take a...

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Detalles Bibliográficos
Otros Autores: Chan, Allen, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England : Packt Publishing [2022]
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711815006719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credits
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Business Automation and Cloud Pak Overview
  • Chapter 1: What Is Cloud Pak for Business Automation?
  • Intelligent automation
  • IBM Cloud Pak for Business Automation
  • RPA
  • Workflow
  • Decisions
  • Content management
  • Document processing
  • Process discovery and process mining
  • Business applications
  • Operational intelligence
  • Why use Cloud Pak for Business Automation?
  • IA solutions
  • Business analysis
  • Understanding the CP4BA architecture
  • Business scenario - client onboarding
  • Summary
  • Further reading
  • Chapter 2: RPA, Workflow, Decisions, and Business Applications
  • Robotic Process Automation
  • Key components and concepts of RPA
  • Workflow
  • Process-driven workflow (business process management)
  • Key components and concepts
  • Case management
  • Key components and concepts of case management
  • Decisions
  • Key components and concepts of decisions
  • Business applications
  • Key components and concepts of business applications
  • Summary
  • Further reading
  • Chapter 3: Process Discovery and Process Mining
  • Technical requirements
  • Establishing a language for business and automation developers
  • An introduction to BPMN
  • Core elements of BPMN 2.0
  • Documenting your business processes
  • Process discovery workshops
  • Defining a high-level process map
  • Working with a process diagram
  • Adding textual descriptions
  • Adding business data
  • Running a Process Playback
  • Discovering hidden processes
  • Generating the process model
  • Identifying high-frequency work
  • Leveraging Task Mining
  • Identifying automation opportunities
  • Early validation of potential improvements
  • Summary
  • Further reading
  • Chapter 4: Content Management and Document Processing
  • What is content management?.
  • FileNet Content Manager
  • A granular and configurable security model
  • A full spectrum of governance capabilities
  • A configurable user experience
  • Content capture with Datacap
  • Document processing with AI
  • AI-powered extraction
  • Pre-trained models for document types
  • Low-code application building
  • Business users can train their own document types
  • Summary
  • Further reading
  • Part 2: Use Cases and Best Practices
  • Chapter 5: Task Automation with RPA
  • Let's understand the business problem
  • IBM RPA client/server topology
  • RPA automation
  • Reading from Microsoft Excel
  • IBM RPA Studio
  • WAL command language
  • Reading the Excel table
  • Using RPA to interact with SAP UI
  • Creating a managed credential
  • Interacting with SAP GUI
  • IBM RPA Studio Recorder
  • Packaging and deployment
  • Publishing our tested robot
  • Creating the launcher for our sales assistant
  • Going further
  • Subroutines
  • Advanced topics - exception handling and troubleshooting
  • Data validation
  • Script logs
  • Exception handling
  • Leveraging other Cloud Pak for Business Automation features
  • Unique Desktop Issues
  • Sleep
  • UI changes
  • Simulate human behavior
  • Further reading
  • Chapter 6: Chatbot with RPA
  • Technical requirements
  • Business problems
  • Developing a chatbot
  • NLP
  • IBM RPA Knowledge Bases
  • Knowledge Base spreadsheet example
  • Packaging and deployment
  • Leveraging the knowledge base in the WAL language
  • Configuring the bot service
  • Azure Bot Service
  • Programming the chatbot
  • IBM RPA-hosted chat
  • Advanced topic-chat history
  • IBM RPA chatbot history local database
  • IBM RPA chatbot history server database
  • Summary
  • Chapter 7: Workflow for Process Automation
  • Technical requirements
  • Problem statement
  • Building the workflow process
  • Creating the first process.
  • Adding swimlanes and completing the process diagram
  • Defining data models
  • Building the Task UI
  • Integration with external services
  • Working with users
  • Working together with robots
  • Packaging and deployment
  • Escalation and exception handling
  • Administration and troubleshooting
  • Summary
  • Further reading
  • Chapter 8: Automating Decisions to Speed Up Your Processes
  • Business problem
  • Modeling - decision models and task models
  • The decision model
  • The data model
  • The task model
  • Composition of models
  • Writing simple and complex decision logic
  • Business rules
  • Decision tables
  • Defining the logic
  • Rule vocabulary
  • Governing changes in decision logic
  • Collaboration
  • Changes and commits
  • Branches and merges
  • Connection with Git
  • Testing decisions
  • Packaging and deploying decisions
  • Single-click deployment
  • Automation services
  • Packaging and advanced deployment options
  • Combining decisions with AI prediction
  • Summary
  • Chapter 9: Manage Documents with Content Management
  • Problem statement
  • Designing your content repositories
  • Security
  • Business data
  • Applications
  • Creating a content desktop
  • Document entry template
  • Role-based redaction
  • Teamspaces
  • Searching and accessing content from applications
  • Extensions
  • Retention policy
  • Summary
  • Further reading
  • Chapter 10: Extract Meanings with Document Processing
  • Technical requirements
  • Example - a bill of lading document
  • Setting expectations for AI document processing systems
  • Problem statement - automating inventory management systems
  • Content classification and extraction with AI
  • Document types and samples
  • Training the classification model
  • Training the extraction model
  • Building a document processing application
  • Customized document types and data formats
  • Create document type.
  • Customizing data definitions
  • Data enrichment
  • Validation of fields
  • Adding formatters to fields
  • Data standardization
  • Deploying the document type
  • Defining fields
  • Summary
  • Chapter 11: Engaging Business Users with Business Applications
  • Technical requirements
  • Creating a business application
  • Building the user interface
  • Setting up the pages
  • Laying out the Contact Information page
  • Adding input fields to the Contact Information page
  • Setting data associations
  • Adding a Submit button
  • Leveraging Automation Services
  • Creating an Automation Service
  • Reusable user interface widgets and templates
  • Application templates
  • Toolkits
  • Content Services
  • Packaging and deployment
  • Summary
  • Further reading
  • Chapter 12: Workforce Insights
  • Business problem
  • Using the built-in dashboards
  • Workflow dashboard
  • Decisions Dashboard
  • Understanding intelligent task prioritization and decision recommendations
  • Intelligent task prioritization
  • Decision recommendations
  • Contributing and reacting to business events
  • Event emitters
  • Event processing jobs
  • Event consumers
  • Customizing your dashboard
  • Creating a new dashboard
  • Adding predictive analytics
  • Summary
  • Part 3: Deployment Considerations
  • Chapter 13: On-Premises and On-Cloud Deployments
  • Introducing the platform choices for Cloud Pak
  • Running the Cloud Pak in its own data centers
  • Topologies
  • Internal user groups and IT teams
  • Running the Cloud Pak on the mainframe
  • Managed OpenShift environments on IBM Cloud, AWS, and Azure
  • IBM managed automation service
  • Summary
  • Chapter 14: Deployment Topologies, High Availability, and Disaster Recovery
  • Problem statement
  • Deployment topologies
  • High availability
  • Disaster recovery
  • Summary
  • Chapter 15: Automating Your Operations and Other Considerations.
  • Business problem
  • Continuous integration versus continuous deployment
  • Continuous integration
  • Continuous integration for document processing
  • Continuous integration for workflow and process applications
  • Continuous integration for automation applications
  • Continuous integration for decisions
  • Using an external pipeline for decisions with continuous integration
  • Versioning automation services
  • Continuous deployment
  • Summary
  • Index
  • Other Books You May Enjoy.