Rise of Robotic Process Automation (RPA) and Cognitive Automation

1.1 Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth

1.2 The Strategic Imperative 8™

1.3 The Impact of the Top Three Strategic Imperatives on Robotic Process Automation (RPA)

1.4 Growth Opportunities Fuel the Growth Pipeline Engine™

2.1 Research Scope

2.2 Research Methodology

2.3 Research Process and Methodology

3.1 RPA Automates Standardized and Repetitive Processes with Minimal Decision-Making

3.2 RPA Can Use AI to Develop Basic Decision-Making Capabilities and Automate Complex Tasks

3.3 Cognitive Automation Can Be Built on Top of Intelligent Business Applications

4.1 Successful RPA Projects Need Strong Collaborations between IT and Functional Teams

4.2 Organizations Risk Inducing Additional Complexities in the Environment by Undertaking Heavily “Sandboxed” Pilot Projects

4.3 Organizations Are Motivated to Reduce Costs and Automate Repetitive Tasks

5.1 RPA Deployment Will Continue to Grow

5.2 Emerging Challenges to RPA Deployment Scalability

5.3 Rise of Build-Your-Own-Bot and No-Code Development Concepts

5.4 Companies Prefer Cloud RPA Deployments and See the Potential of AI in Automation

5.5 Urgent Need to Update Applications and Upskill Employees

6.1 Insurance Providers Can Explore RPA to Meet Personalization and Quick Execution Demands

6.2 RPA Can Automate or Accelerate Insurance Processes at Every Stage Depending on the Task Complexity

6.3 RPA Cannot Handle Complex Customer Queries or Assess Losses to Insured Properties

6.4 Insurance and the Larger BFSI Industry Are Key Adopters of RPA Technologies

7.1 Blue Prism, UK

7.1.1 Intelligent Automation Platform

7.2 Kryon, Israel

7.2.1 Full-Cycle Automation Suite

7.3 NICE, Israel

7.3.1 Robotic Process Automation

7.4 Automation Anywhere, US

7.4.1 Automation 360™

7.5 UiPath, US

7.5.1 Enterprise RPA Platform

8.1 Growth Opportunity 1: Industry-specific RPA Product Offerings for Unique Customer Needs

8.1 Growth Opportunity 1: Industry-specific RPA Product Offerings for Unique Customer Needs (continued)

8.2 Growth Opportunity 2: AI-based Decision-making Capabilities to Augment Cognitive RPA

8.2 Growth Opportunity 2: AI-based Decision-making Capabilities to Augment Cognitive RPA (continued)

8.3 Growth Opportunity 3: No-code RPA and Citizen Developers to Boost RPA Adoption

8.3 Growth Opportunity 3: No-code RPA and Citizen Developers to Boost RPA Adoption (continued)

9.1 Recommendations for RPA Adopters

10.1 Key Contacts

11.1 Your Next Steps

11.2 Why Frost, Why Now?

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