What Is Cognitive Automation: Examples And 10 Best Benefits

The integration of cognitive technologies such as computer vision with sensors and other sophisticated hardware has given rise to a new generation of robots that can work alongside people and perform many tasks in unpredictable environments. Examples include drones, robots used for disaster response, and robot assistants in home health care. The foundation of cognitive automation is software that adds intelligence to information-intensive processes.

• The age of automation is here, and with it comes opportunities for integrating Internal Audit (IA) robotic process automation (RPA) into the third line of defense (aka Internal Audit).
• An example would be robotizing the daily task of a purchasing agent who obtains pricing information from a supplier’s website.
• “Both RPA and cognitive automation enable organizations to free employees from tedium and focus on the work that truly matters.
• It identifies processes that would be perfect candidates for automation then deploys the automation on its own, Saxena explained.
• Discover the true potential of AI and automation for customer service by incorporating intelligent process automation into your workflows.

Since receiving his degree in International Management from Pepperdine University, he’s channeled his passion for digital marketing and creative writing to create engaging content for organizations across a wide variety of verticals. When he’s not at his desk, you’ll find him at a music festival, thrifting, or spending time with his friends and family. As you brainstorm ways to facilitate the robot takeover of your business (kidding…mostly), you can lean on Zapier to bring your IA initiatives to life. Try using Zapier’s ChatGPT plugin to connect thousands of apps and perform automations from within ChatGPT’s interface. Manage your databases, send messages, and more without ever leaving ChatGPT. Intelligent automation can completely revolutionize your organization’s processes, so it’s important to be strategic when implementing it.

Smart use of artificial intelligence in health care

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. Given that the majority of today’s banks have an online application process, cognitive bots can source relevant data from submitted documents and make an informed prediction, which will be further passed to a human agent to verify. RPA is referred to as automation software that can be integrated with existing digital systems to take on mundane work that requires monotonous data gathering, transferring, and reformatting. The age of automation is here, and with it comes Internal Audit (IA) robotic process automation (RPA) into the third line of defense (aka Internal Audit).

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. Long burdened by manual processes and tedious tasks, IA departments can now turn much of the “grunt work” over to digital employees who don’t mind long hours and repetition and who rarely make mistakes when managed properly. This has the potential to increase efficiency, effectiveness, and quality throughout the IA life cycle, thereby creating more value for the business and making better use of the most precious resource of all—intelligent, highly skilled human talent. Engaging your business’ employees and customers more effectively can have a major impact on growth and success. Natural language processing, artificially intelligent chatbots, and intelligent agents.

Is RPA a Cognitive Technology?

These technologies are coming together to understand how people, processes and content interact together and in order to completely reengineer how they work together. “Cognitive automation can be the differentiator and value-add CIOs need to meet and even exceed heightened expectations in today’s enterprise environment,” said Ali Siddiqui, chief product officer at BMC. “As automation becomes even more intelligent and sophisticated, the pace and complexity of automation deployments will accelerate,” predicted Prince Kohli, CTO at Automation Anywhere, a leading RPA vendor. All of these create chaos through inventory mismatches, ongoing product research and development, market entry, changing customer buying patterns, and more. This occurs in hyper-competitive industry sectors that are being constantly upset by startups and entrepreneurs who are more adaptable (or simply lucky) in how they meet ongoing consumer demand.

Processes that require a very high degree of human attention and perception may be all but unworkable without the support of cognitive technologies. The Georgia agency mentioned earlier—which processes 40,000 campaign finance disclosure forms per month, many of them handwritten—is an example. Another is Twitter, which uses natural language processing to help advertisers understand when, why, and how its users post comments about TV shows and advertising; this would be impossible without cognitive computing to analyze the tweets’ language. Whether it be RPA or cognitive automation, several experts reassure that every industry stands to gain from automation.

Cognitive Automation and Medical Supply Chains: Putting Patients First

In another example, Deloitte has developed a cognitive automation solution for a large hospital in the UK. The NLP-based software was used to interpret practitioner referrals and data from electronic medical records to identify the urgency status of a particular patient. In this case, bots are used at the beginning and the end of the process.

Don’t pull the rug out from under your employees without developing a game plan. In fact, the Gartner survey found that 52 percent of telecommunications companies utilize AI chatbots. And 38 percent of healthcare institutions and/or providers depend on AI computer-assisted diagnostics. There is also large percentage use of AI in fraud protection, consumer fragmentation, and finance. These systems require proper setup of the right data sets, training and consistent monitoring of the performance over time to adjust as needed. Cognitive automation is also starting to enhance operational excellence by complementing RPA bots, conversational AI chatbots, virtual assistants and business intelligence dashboards.

This can lead to big time savings for employees who can spend more time considering strategic improvements rather than clarifying and verifying documents or troubleshooting IT errors across complex cloud environments. In this domain, cognitive automation is benefiting from improvements in AI for ITSM and in using natural language processing to automate trouble ticket resolution. Therefore, natural language processing provides a full comprehension of human language including nonverbal cues. You’ve probably interacted with natural language processing in the form of voice-over navigation systems, virtual assistants, speech-to-text transcription tools, customer experience platforms, self-driving cars and other modern conveniences.

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