Intelligent Automation: How Combining RPA and AI Can Digitally Transform Your Organization

A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. There is growing need for robots that can interact safely with people in everyday situations. These robots have to be able to anticipate the effects of their own actions as well as the actions and needs of the people around them.

In Tax, RPA refers to software used to create automations, or robots (bots), which are configured to execute repetitive processes, such as submitting filings to tax authority web portals. The biggest challenge is that cognitive automation requires customization and integration work specific to each enterprise. This is less of an issue when cognitive automation services are only used for straightforward tasks like using OCR and machine vision to automatically interpret an invoice’s text and structure. More sophisticated cognitive automation that automates decision processes requires more planning, customization and ongoing iteration to see the best results. Cognitive automation describes diverse ways of combining artificial intelligence (AI) and process automation capabilities to improve business outcomes.

What are the benefits of cognitive automation?

It is worth noting that RPA’s ability to wring substantial process improvements from legacy systems, often at relatively low cost, can undermine the business case for large-scale replacement of systems or enterprise application integration initiatives. The emerging trend we are highlighting here is the growing use of cognitive technologies in conjunction with RPA. But before describing that trend, let’s take a closer look at these software robots, or bots.

RPA bots can only follow the processes defined by an end user, while AI bots use machine learning to recognize patterns in data, in particular unstructured data, and learn over time. Put differently, AI is intended to simulate human intelligence, while RPA is solely for replicating human-directed tasks. While the use of artificial intelligence and RPA tools minimize the need for human intervention, the way in which they automate processes is different.

RPA vs. cognitive automation: What are the key differences?

Cognitive automation requires more in-depth training and may need updating as the characteristics of the data set evolve. But at the end of the day, both are considered complementary rather than competitive approaches to addressing different aspects of automation. Cognitive RPA can not only enhance back-office automation but extend the scope of automation possibilities. “The governance of cognitive automation systems is different, and CIOs need to consequently pay closer attention to how workflows are adapted,” said Jean-François Gagné, co-founder and CEO of Element AI. “With cognitive automation, CIOs can move the needle to high-value, high-frequency automations and have a bigger impact on the bottom line,” said Jon Knisley, principal of automation and process excellence at FortressIQ.

The Elba Technologies team has deep knowledge in process consulting and business automation, which reaches beyond the rise of robotics for knowledge automation. Combining our expertise of other means for process automation with the uprising capabilities of Robotics & Cognitive Automation, we support your enterprise in making well-founded decisions and help you realize the optimum of your business automation. Hyperautomation takes IA to the next level, automating as many processes and applications as possible, using tools such as business process management to standardize the approach to automation across the organization and create even greater business value. AI is the perfect complement to RPA, together providing more accurate and efficient automation powered by an informed knowledge base. AI is the process behind the effort to simulate human intelligence in machines, while RPA automates processes that use structured data and logic.

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