Millions of companies in the world today are processing endless documents in various formats. Although Robotic Process Automation (RPA) thrives in almost every industry and is growing fast, it works well only with structured data sources.
What about the data that’s not fully structured and comes in varying layouts? To address this problem, there is another aspect of RPA that is taking the industry by storm: cognitive automation.
While implementing RPA, you can deploy automations with “cognitive” capabilities. Cognitive automation uses Artificial Intelligence (AI) to learn and understand the same way the human brain works. Thus, it assists humans in making decisions, completing tasks, or meeting goals. Using cognitive automation, you can extract semi—or unstructured data—which is 80% of all data!
Data is a precious asset. Businesses struggle to make sense of large volumes of available data and to generate a tangible value from them. Manual business processes barely contain any data that is available for capture. This is where Robotic Process Automation (or RPA) Analytics comes in. RPA bots don’t just automate business processes; they also digitize them. They take the large volume of data and interpret it in near real-time to provide actionable information.
In this course, you will be introduced to cognitive automation, the role that AI plays in it, and Automation Anywhere’s cognitive solution, IQ Bot. You will also be introduced to RPA analytics and explore how Automation Anywhere’s Web Control Room and Bot Insight can provide this functionality.
As you begin this course, you will learn the six steps to deploy cognitive automation. Next, you will explore the IQ Bot portal – Automation Anywhere’s web-based application for developing the cognitive IQ bots. You will then learn to use the portal by following the IQ Bot workflow.
Next, you will learn how RPA analytics help interpret and improve automated business processes. You will see how Bot Insight functions as an RPA analytics platform.
You will also explore the different types of RPA analytics and learn how to generate RPA analytics via two mechanisms – the Web Control Room for Operational Analytics and Bot Insight for Business Analytics and CoE Analytics.
Finally, you will learn how to use the RPA mobile app to study and edit the default CoE dashboard that is published via Bot Insight.
Understanding IQ Bot and Creating an Instance
In this module, you will explore the concept of cognitive automation, the six-step process of deploying a cognitive automation, IQ Bot as a cognitive solution, the basics of the IQ Bot portal, and the IQ bot workflow at a high-level. You will also learn to perform the first two steps of the IQ Bot workflow: Instance creation and Document analysis. After this, you will use the IQ Bot portal to create (and edit) a learning instance and trigger document analysis that produces document groups, depending on the input documents’ layout and content.
Performing Bot Training, Production Processing, and Document Validation
In this module, you will learn to perform the remaining four steps of the IQ Bot workflow: Bot training, in context of fields and tables; Bot training, with focus on check boxes and repeated sections; Production processing; Document validation; and Progress monitoring. You will use the Designer on the IQ Bot portal to perform each of these steps.
Generating RPA Analytics
In this module, you will explore the concept of analytics and how it is applied within RPA, get introduced to the Bot Insight application, and learn about the different types of analytics. You will also learn how to generate operational analytics on the Web Control Room. You will then explore Bot Insight’s user interface and features and learn how to deploy it using APIs. Next, you will explore the various roles who generate or view business analytics, and learn how to generate them on Bot Insight. You will also explore the CoE Dashboard on Bot Insight and learn how to configure, customize, and publish this dashboard. Finally, you will see how the RPA mobile app can be used to study and edit the default CoE dashboard that is published via Bot Insight.