Streamline Workflows
An application of machine learning technologies to automation is known as cognitive automation, which takes over manual labour for tasks that would otherwise require manual input.
Consequently, businesses can achieve a higher level of operational efficiency by enhancing their workflows beyond current automation technologies. For example, study results from McKinsey found that cognitive automation tools allow companies to:
- Approximately 50 – 70 percent of tasks can be automated.
- The processing time for data can be reduced by 50 to 60 percent.
- Reduce annual labour expenditures by 20-30%
- Boost ROI by triple digits
The evolution of automation is being aided by cognitive automation – a reason for digging deeper into cognitive automation and how it differs from traditional processes.
In traditional RPA, processes are usually automated with a minimum of contextual analysis and contingencies (which may or may not involve structured data).
Specifically, cognitive automation relies on machine learning and deep learning, subfields of machine learning. Therefore, a basic understanding of fundamental concepts is important to understand what can be accomplished through such applications.
