Introduction to Intelligent Automation for Business Users

Every participant in the course receives the book Intelligent Automation: Welcome to the World of Hyperautomation:by Pascal Bornet (Author), Ian Barkin (Author)

Chapter 1. Introduction to Intelligent Automation (IA)

What is Intelligent Automation?

It’s potential to increase organization efficiency

IA as a business imperative

Improving customer experience

Improving employee experience

IA use cases in healthcare

Chapter 2. IA Technologies

Vision – using computer vision

Execution – Low code and Robotic Process Automation (RPA)

Language – Natural Language Processing 

chatbot, sentiment analysis and speech analysis

Thinking and Learning – big data, machine learning and data visualization

Chapter 3. Succeeding in IA Implementation

Challenges:

management vision and support, 

change management, 

data, 

technical limitations, 

costs and efficiency, 

talent,

overall complexity of the transformation

IA Transformation Roadmap

Transformation preparation and scaling

Change and Talent management

Chapter 4. Addressing important challenges

Addressing complexity, cost, and the work-intensive aspect of transformations

The enablers emerging:

Access to technology for more employees

Convergence of vision, execution, NLP and Thinking and Learning to mimic human behavior

Using automation to accelerate automation