Artificial Intelligence and Robotic Process Automation: a Match Made in Heaven

While Automatic Process Automation (RPA) has exceeded market predictions, Artificial Intelligence (AI) is constantly on the drive greater value and, based on 2019 predictions from Forrester, automation technologies including RPA and AI have become a proper purchase of the enterprise world.

Within the four primary places that AI and RPA are rapidly progressing (Figure 1), the opportunity to capture greater insight from unstructured information is at center stage for making robots more intelligent.

Exactly why is unstructured data essential for intelligent process automation?

With 60% of worldwide data and analytics decision makers stating that their clients are located on 100 or even more terabytes of unstructured data, there's no real surprise that organizations are searching for proven methods to accelerate using unstructured information to release the entire potential of intelligent RPA.

To shut the procedure gap, the primary focus remains on analytics, where up to 50 % of organizations uses a mix of AI and automation to produce a new digital workforce.

Just consider the next scenarios that could impact using unstructured data while building an RPA process:

• When you really need to extract qualified unstructured information with respect to the context from documents which are needed
• When you really need to classify documents against specific customer taxonomies and behave accordingly
• When comprehending the content of documents is pertinent
• When you really need to use reasoning before removing information
• When you really need also to uncover relations from the data you extract for use along the way

In any above scenarios, the collaboration between AI and RPA extends and increases the achieve of intelligent automation by speeding up using unstructured information. AI makes all relevant data immediately helpful and actionable in RPA. It analyzes, categorizes and extracts relevant information held in unstructured data (for example text fields of numerous business documents, purchase orders, invoices, emails, survey reports, forms, etc.) to arrange it into clean files for RPA.

AI and RPA: a match produced in paradise

AI is the best match for RPA to evaluate, classify and extract unstructured data to really make it functional to enhance the creation of complex, much more mission-critical intelligent RPA workflows. Simultaneously, RPA is the perfect complement to allow the adoption of cognitive abilities at scale.

Consequently, companies can usually benefit from both technologies while on an all-in-one platform to automate finish-to-finish processes and simply exploit the need for intelligence functionalities.

The combination of Expert System AI abilities into Blue Prism RPA platform delivers improved labor productivity and efficiency while accomplishing greater amounts of precision in unstructured data access, extending business automation to new proper areas by automating tasks that when were reserved just for humans.