An incremental approach in the pursuit of intelligent automation
According to IDC, 80% of worldwide data will be unstructured by 2025. While data has been regarded as the new oil, using unstructured data for business purposes poses challenges.
Robotic process automation (RPA) has helped companies in automating simple, straightforward, rule-based, structured processes targeting low-hanging fruit. However, a more intelligent, incremental approach is required to target processes with unstructured or semi-structured data.
Cognitive automation is the process of identifying and structuring data to enable intelligent automation for the business. Cognitive automation brings much needed intelligence into rule-based RPA. Here, machine learning (ML), natural language processing (NLP), and other tools may be used to make sense of the data. It augments RPA with AI capabilities to tackle more challenging processes.
HGS cognitive agents or digital workforce can perform the following functions:
- Identify unstructured and semi-structured data
- Classify and index the data
- Interpret or contextualize the data
- Enable the subsequent tasks for automation