The Potential Of AI & RPA Together Posted on : Mar 24 - 2020

We have seen a rush to automation for time, money, and grief savings. Robotic Process Automation (RPA) has been on the cutting edge of this wave of automation benefits. RPA is changing its focus from just automating assisting or eliminating mundane work to seeding automated worker bots into processes and systems. The level of intelligence of these bots or agents is going up, thanks to AI. This post will concentrate on the new kinds of work that RPA is taking on now and in the future.

Today without AI

Today RPA is good at mundane tasks and reducing nasty work for people.  Typical tasks would include auto-keying, screen/form integration, application or data integration, automated decisions, and rudimentary task management. It can reach to simple task sequencing and simple resource orchestration.

Today with Machine Learning, Mining & Analytics

As RPA moves towards straight-through processing, it will have to do forms of event and pattern recognition, informed decisions, and smart actions. This means that process instances, events, and other forms of journey data will have to be inspected and learned from at greater speeds. RPA may also act in an unsupervised fashion to adapt to change.

Tomorrow with NLP and Unstructured Content

Tasks that are knowledge-intensive will also need the help of the combination of AI & RPA. Natural Language Processing (NLP) can search structured and unstructured data for the presence of knowledge represented by the presence of entities and relations. This emergent knowledge can be captured by flexible knowledge taxonomies that can be leveraged in journeys, processes, or systems. The mix of unstructured data will also likely include image, voice, and video

Tomorrow with Deep Learning & Deductive Analytics

As AI advances to include right-brained activities such as judgment, particularly in context, RPA can make informed decisions based on leveraging the combination of AI & analytics. Deductions can be made after integrated information sources and knowledge worlds are run through advanced algorithms to take smarter action that considers multiple contexts. View More