The integration of different AI features with RPA helps organisations extend automation to more processes, making the most of not only structured data, but especially the growing volumes of unstructured information. Unstructured information such as customer interactions can be easily analysed, processed and structured into data useful for the next steps of the process, such as predictive analytics, for example.
Cognitive automation creates new efficiencies while improving the quality of business. As organisations in every industry are putting cognitive automation at the core of their digital and business transformation strategies, there has been an increasing interest in even more advanced capabilities and smart tools.