In order to solve business processes, it is necessary to address two issues. First, creation of the “current state” meaning how business processes are being performed in an organization. Organizations who tend to ignore the “as is” processes that may be partially working and proceed to revamping of processes without paying attention to this step, fail in successful implementation of Business Process Reengineering (BPR).
Second, in many organizations there is no connection between their business processes and their Enterprise Information Systems. These systems should be able to produce information about key processes with AI algorithms which help the organization discover, design and implement automated business flows.
Process Mining is a discovery process to identify the current state processes and then connect them to intelligent Enterprise systems or IT Infrastructure of a firm and to automate such processes based from log files and Events produced by the Enterprise System.
Robotic Process Automation (RPA) is defined as application of tools and technologies which are able to automate keystrokes or steps in various processes and are able to react to events and results. These tools are able to spawn new processes to facilitate the task at hand. In the process of doing so, data can be manipulated and inputs and outputs generated to help the organization accomplish its repetitive tasks quickly, efficiently and without errors.
Cognitive automation is based on leveraging Artificial Intelligence to expand the range of improvements that can be accomplished in the Process Mining phases of the BPR.
Cognitive Automation uses algorithms and tools such as natural language processing, datamining and machine learning to address complex and lengthy business processes.
Cognitive Automation can help organizations achieve massive savings utilizing AI tools in many areas such as customer service, procurement processes, support and many other customer facing processes.
