Transform Businesses with E42 Cognitive Process Automation Platform

cognitive process automation

By leveraging NLP, machine learning algorithms, and cognitive reasoning, cognitive automation solutions offer a symphony of capabilities that revolutionize how businesses operate. 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. Since cognitive automation can analyze complex data from various sources, it helps optimize processes.

‍You might’ve heard of a Digital Workforce before, but it tends to be an abstract, scary idea. A Digital Workforce is the concept of self-learning, human-like bots with names and personalities that can be deployed and onboarded like people across an organization with little to no disruption. These systems require proper setup of the right data sets, training and consistent monitoring of the performance over time to adjust as needed. “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. These technologies are coming together to understand how people, processes and content interact together and in order to completely reengineer how they work together.

What are examples of cognitive automation?

By educating your staff and investing in training programs, you can prepare teams for ongoing shifts in priorities. Conversely, cognitive automation learns the intent of a situation using available senses to execute a task, similar to the way humans learn. It then uses these senses to make predictions and intelligent choices, thus allowing for a more resilient, adaptable system. Newer technologies live side-by-side with the end users or intelligent agents observing data streams — seeking opportunities for automation and surfacing those to domain experts. RPA is best for straight through processing activities that follow a more deterministic logic.

cognitive process automation

RPA usage has primarily focused on the manual activities of processes and was largely used to drive a degree of process efficiency and reduction of routine manual processing. As mentioned above, cognitive automation is fueled through the use of Machine Learning and its subfield Deep Learning in particular. And without making it overly technical, we find that a basic knowledge of fundamental concepts is important to understand what can be achieved through such applications. With light-speed jumps in ML/AI technologies every few months, it’s quite a challenge keeping up with the tongue-twisting terminologies itself aside from understanding the depth of technologies.

Cognitive Automation 101

While these are efforts by major RPA vendors to augment their bots, RPA companies can not build custom AI solutions for each process. Therefore, companies rely on AI focused companies like IBM and niche tech consultancy firms to build more sophisticated automation services. You can check our article where we discuss the differences between RPA and intelligent / cognitive automation. Cognitive automation can uncover patterns, trends and insights from large datasets that may not be readily apparent to humans. Aera releases the full power of intelligent data within the modern enterprise, augmenting business operations while keeping employee skills, knowledge, and legacy expertise intact and more valuable than ever in a new digital era. Change used to occur on a scale of decades, with technology catching up to support industry shifts and market demands.

cognitive process automation

They should also agree on whether the cognitive automation tool should empower agents to focus more on proactively upselling or speeding up average handling time. Cognitive automation tools are relatively new, but experts say they offer a substantial upgrade over earlier generations of automation cognitive process automation software. Now, IT leaders are looking to expand the range of cognitive automation use cases they support in the enterprise. This makes it easier for business users to provision and customize cognitive automation that reflects their expertise and familiarity with the business.

Accounting departments can also benefit from the use of cognitive automation, said Kapil Kalokhe, senior director of business advisory services at Saggezza, a global IT consultancy. For example, accounts payable teams can automate the invoicing process by programming the software bot to receive invoice information — from an email or PDF file, for example — and enter it into the company’s accounting system. In this example, the software bot mimics the human role of opening the email, extracting the information from the invoice and copying the information into the company’s accounting system.

Cognitive automation helps processes run on their own – TechTarget

Cognitive automation helps processes run on their own.

Posted: Wed, 11 Mar 2020 07:00:00 GMT [source]

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