Intelligent Automation Simplified
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Description
Contents
Reviews
Language
English
ISBN
9789391392543
Cover Page
Title Page
Copyright Page
Dedication Page
About the Author
About the Reviewer
Acknowledgement
Preface
Errata
Table of Contents
1. Introduction to Intelligent Automation
Introduction
Structure
Objective
Introduction to Automation
Evolution of automation in Information Technology
Different Stages of Automation
Basic automation
Intermediate automation
Intelligent Automation
Automation of tasks, activity, and processes
Examples of Intelligent Automation
Intelligent automation technology components
Robotic Process Automation
Fitment of Robotic Process Automation
Artificial Intelligence (AI)
Fitment of AI components for automation
Workflows and Business Process Management
Fitment of workflow for Automation
Business Intelligence
Integration
Virtual Assistants and Chatbots
Blockchain and IoT
Impact of Automation in an Enterprise
Future of Work
Conclusion
2. Robotic Process Automation
Introduction
Structure
Objective
Purpose of RPA
Characteristics of RPA
Key Characteristics
Rule based
Non disruptive
Benefits of Robotic Process Automation
Employee time savings
Improved Process Efficiency
Increased accuracy and reduced human errors
Better turn around time
Employees can focus on more strategic tasks
Consistency
Reliability
Audit Trail
Scalability
What makes a process fit for Robotic Process Automation
Technical Characteristics of Process required for RPA based Automation
Non-Technical Characteristics of Process required for RPA based Automation
Applicability of Robotic Process Automation through examples
Financial Crime
Core Banking
Finance and Accounting
Procurement
Customer/Vendor Management
Patient Management in Healthcare
Payroll in HR
Generic use cases
IT Operations use cases
Preferred practices
Business Case Validation
Delivery Project Planning and Kick off
Environment Preparation
RPA implementation
Monitor and measure
Bot or API
Products and tools
RPA tools
Conclusion
Reference
3. Artificial Intelligence in Automation
Introduction
Structure
Objective
Purpose of Artificial Intelligence in Automation
Different types of AI in intelligent automation
Image Recognition
Natural Language Processing
Recommendation and Prediction
Other Machine Learning
Benefits of Artificial Intelligence in Automation
Fitment of Processes for Artificial Intelligence based Automation
Technical Characteristics of the Process required for AI based Automation
Non-Technical Characteristics of Process required for AI based Automation
Applicability of Artificial Intelligence in Automation through a few typical use cases
Financial Services
Retail
AI in IT Operations Automation
Other use cases
AI delivery Life cycle
Use Case Identification and Assessment
Data Collection and building Dataset
Train the model
Refine and Test
Deploy
Products and tools
Some common Machine Learning Frameworks
Some common Deep Learning Frameworks
Conclusion
References
4. Other Technologies in Automation
Introduction
Structure
Objective
Blockchain
Fitment of processes for blockchain based automation
Immutability
Single source of truth
Traceable provenance
Trust
Blockchain use cases for Intelligent Automation
Digital identity and inheritances
Digital identity
Inheritances and Wills
Financial services
Capital markets
Financial record keeping
Logistics
Internet of Things
Characteristics of IoT
Connected devices
Sensing ability
Data acquisition and transfer
Data processing
Scalability
Security
IoT Use cases
What makes a process fit for the IoT implementation in Intelligent Automation?
Fitment of processes for the IoT based Automation
Delivering IoT Projects
Workflow
Fitment of processes for Workflow based Automation
Integration
Use cases
Conclusion
References
5. Intelligent Automation Use Cases
Introduction
Structure
Objectives
Introduction to the Use cases
Use case in Banking
Use case 1: KYC Processing
Introduction
High-level Process
Detailed process view
Identification of the primary and secondary levers of automation
High-level solution diagram
Detailed internal view of the selected automation components
Use case 2: Automated Service Request/Ticket Creation
Introduction
High-level Process
Detailed Process
Identification of the primary and secondary levers of automation
High-level Solution
Detailed internal view of selected automation components
Use case 3: Automated Ticket Resolution
Introduction
High-level Process
Detailed Process
High-level Solution
Detailed internal view of the selected automation components
Solution Realization of Use cases
Conclusion
6. Enterprise Automation Journey
Introduction
Structure
Objective
Challenges in Enterprise Automation
Absence of a defined strategy
Siloed Automation across enterprise
Unclear ROI
Resistance in Automation Adoption
Lack of an Operating Model
Complex technology architecture
Scarcity of suitable resources
Journey Towards Intelligent Automation
Automation Center of Excellence
Need for Automation Center of Excellence
Functions of Automation CoE
Organization
Different models of CoE
Centralized CoE Model
Federated CoE
Hybrid Model
Process
Technology
Governance
Setting Up a CoE
Conclusion
Further Reading
7. Intelligent Automation – Trends and the Future
Introduction
Structure
Objective
Process Mining
Importance of process mining in the context of Intelligent Automation
List of Prominent Process Mining Tools
Citizen Development
Rising Trend of Citizen Development
Citizen Development Platforms in Intelligent Automation
Pitfalls of Citizen Development
List of Tools
AIOps
Working of AIOps
AIOps Platforms
Future of work
Dimensions of Future of Work
Conclusion
References
Index
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$19.95
$19.95
