What Is Cognitive Automation: Examples And 10 Best Benefits

What are the benefits of cognitive automation?

Image recognition refers to technologies that identify places, logos, people, objects, buildings, and several other variables in images. Facial recognition is used by security forces to counter crime and terrorism. Text recognition (OCR) transforms characters from printed /written or scanned documents into an electronic form to be further processed by computers or other software programs. Job application tracking system uses OCR to search through resumes for key words.

An insurance provider can use intelligent automation to calculate payments, make predictions used to calculate rates, and address compliance needs. Cognitive automation utilizes data mining, text analytics, artificial intelligence (AI), machine learning, and automation to help employees with specific analytics tasks, without the need for IT or data scientists. Cognitive automation simulates human thought and subsequent actions to analyze and operate with accuracy and consistency. This knowledge-based approach adjusts for the more information-intensive processes by leveraging algorithms and technical methodology to make more informed data-driven business decisions. There are a number of advantages to cognitive automation over other types of AI.

What is Cognitive Automation? A Primer.

Based on survey responses from nearly 800 executives worldwide, it found that many companies had no choice but to turn to automation to keep the business running. With validation, the validator (human) uses a visual interface to “eyeball” changes and update text extracted from the digital document. Once fixed and saved, the updated document moves back to the successful queue where it can be picked up by an upstream automation task. A typical part of cognitive automation is to convert the scanned document/Image and handwritten text into the machine-readable format and form the system identifiable reasons. The concept alone is good to know but as in many cases, the proof is in the pudding.

RPA tools without cognitive capabilities are relatively dumb and simple; should be used for simple, repetitive business processes. Accounting departments can also benefit from the use of , 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.

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As a result, they have greatly decreased the frequency of major incidents and increased uptime. The cognitive solution can tackle it independently if it’s a software problem. If not, it alerts a human to address the mechanical problem as soon as possible to minimize downtime. The cognitive automation solution looks for errors and fixes them if any portion fails. If not, it instantly brings it to a person’s attention for prompt resolution. And if you are planning to invest in an off-the-shelf RPA solution, scroll through our data-driven list of RPA tools and other automation solutions.

• You get the right data, the needed level of automation, the single layer for decision making, and total control to adjust the machine to your organizational needs.
• Through cognitive automation, enterprise-wide decision-making processes are digitized, augmented, and automated.
• Cognitive automation will enable them to get more time savings and cost efficiencies from automation.
• To manage this enormous data-management demand and turn it into actionable planning and implementation, companies must have a tool that provides enhanced market prediction and visibility.

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