What Is Cognitive Automation: Examples And 10 Best Benefits

If not, it instantly brings it to a person’s attention for prompt resolution. He focuses on cognitive automation, artificial intelligence, RPA, and mobility. You might even have noticed that some RPA software vendors — Automation Anywhere is one of them — are attempting to be more precise with their language. Rather than call our intelligent software robot (bot) product an AI-based solution, we say it is built around cognitive computing theories. Sentiment analysis or ‘opinion mining’ is a technique used in cognitive automation to determine the sentiment expressed in input sources such as textual data. NLP and ML algorithms classify the conveyed emotions, attitudes or opinions, determining whether the tone of the message is positive, negative or neutral.

Optimize customer interactions, inventory management, and demand forecasting for eCommerce industry with Cognitive Automation solution. Make your business operations a competitive advantage by automating cross-enterprise and expert work. Leading companies automate both business and IT to free up employees to focus on what they do best.

RPA and the First Steps in Enabling Cognitive Automation

A cognitive automation solution for the retail industry can guarantee that all physical and online shop systems operate properly. As a result, the buyer has no trouble browsing and buying what is cognitive automation the item they want. ServiceNow’s onboarding procedure starts before the new employee’s first work day. It handles all the labor-intensive processes involved in settling the employee in.

The process entails automating judgment or knowledge-based tasks or processes using AI. Cognitive automation has a place in most technologies built in the cloud, said John Samuel, executive vice president at CGS, an applications, enterprise learning and business process outsourcing company. His company has been working with enterprises to evaluate how they can use cognitive automation to improve the customer journey in areas like security, analytics, self-service troubleshooting and shopping assistance.

Adopting Automation in an Enterprise

These tools can port over your customer data from claims forms that have already been filled into your customer database. It can also scan, digitize, and port over customer data sourced from printed claim forms which would traditionally be read and interpreted by a real person. Cognitive automation techniques can also be used to streamline commercial mortgage processing. This task involves assessing the creditworthiness of customers by carefully inspecting tax reports, business plans, and mortgage applications.

Moreover, clinics deal with vast amounts of unstructured data coming from diagnostic tools, reports, knowledge bases, the internet of medical things, and other sources. This causes healthcare professionals to spend inordinate amounts of time and concentration to interpret this information. Essentially, cognitive automation within RPA setups allows companies to widen the array of automation scenarios to handle unstructured data, analyze context, and make non-binary decisions.

The Significance of these Two Technologies

However, it is likely to take longer to implement these solutions as your company would need to find a capable cognitive solution provider on top of the RPA provider. Only the simplest tools, initially built in 2000s before the explosion of interest in RPA are in this bucket. Most importantly, RPA can significantly impact cost savings through error-free, reliable, and accelerated process execution. It operates 24/7 at almost a fraction of the cost of human resources while handling higher workload volumes. It also improves reliability and quality regarding compliance and regulatory requirements by eradicating human error.

These technologies can be natural language processing, text analytics, data mining, semantic technology, and machine learning. RPA uses basic technologies like screen scraping, macro scripts, and workflow automation. Also, RPA does not need coding because it relies on framework configuration and deployment.

What is cognitive automation and why does it matter?

Also, 32 percent of respondents said they will be implementing it in some form by the end of 2020. 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.

The next breed of Business Process Automation is Intelligent Process Automation (IPA). Exactly as it sounds, it is the concept of injecting intelligent, machine learning capabilities into Robotic Process Automation. This amplifies the capabilities of automation from simply “if this, then that” into more complex applications. Businesses are increasingly adopting cognitive automation as the next level in process automation. These six use cases show how the technology is making its mark in the enterprise.