Introduction to Cognitive RPA
In the era of automation, machines complement human labor in the workplace. The advent of technologies transformed the nature of work and the workplace. Machines now carry out more of the tasks that humans earlier did. Machines complement the work that humans do and even, in some cases, perform some functions that where humans are not capable of giving accurate and on-time results. As a result, some professions will fail, others will grow, and many more need to change. This article will give an insight about Cognitive RPA applications and techniques.
Bots can automate everyday tasks and eliminate inefficiency. Software, known as a ‘robot,’ Automation is transforming the way companies move towards building a digital workforce. Nowadays, Companies are using “robots” to perform everyday business processes by simulating how humans interact with software applications. It is commonly beneficial to analyze IT applications to enable processing of the transaction, data manipulation, and communication. Using robots as a virtual workforce, i.e., works at a back-office processing center without human resources intervention.
An RPA is a software tool design to execute the Human manual process into automation to work on another complex task.
Source: RPA Governance Model
What is Robotic Process Automation?
The technology that allows companies to configure computer software called “robots” that automates human activities is Robotic Process Automation (RPA).
RPA software automates rules-based and repetitive processes that are performed by experts while sitting in front of computers. Software robots can open e-mail attachments, complete e-forms, records, and perform several other tasks that simulate human action. Robots can act as a virtual workforce while assisting with front-office staff—for example, helping call center agents during client interactions and automatically taking close call notes. This mode of robots is known as “attended automation.
There are substantial benefits of implementing RPA such as accuracy, consistency, audit trail, productivity, elasticity, reliability, staff retention, and right-shoring.
Cognitive Technologies extending RPA’s reach
Computer Software “Robots” are rule-based, i.e., they can perform only those tasks where rules are pre-defined. This means that processes that require human judgment and perception—can not be automatic by through RPA alone.
RPA can be helpful in those cases where they have to work beside people, taking on simple exercises so that experts can focus on complicated exceptions.
Technology is developing fast, and the line between what humans and computers can do is shifting. Represent automation by three levels depending on the level of “intelligence” –
- Rule-based Automation – Robots (RPA) that follow a set of predefined rules and work accordingly.
- Enhanced/Intelligent Process Automation – Robots can recognize unstructured data, understand human communication and draw inferences from data.
- Cognitive platforms – Robots that learn from experience and perform complex tasks without any intervention of humans.
With the integration of cognitive technologies with RPA, it is possible to automate processes that require human judgment. With the addition of technologies such as speech recognition, natural language processing, chat-bot, and computer vision. Bots can deal with unstructured information (speech, audio, text, or images) and pass that extracted information for further processing.
Cognitive RPA can go beyond necessary automation to accomplish business outcomes such as increased revenues, customer satisfaction, lower churn rate.
Reducing Costs and Increasing business Efficiency with Robotic Process Automation Services.
What are the Applications of Cognitive RPA?
The following are the key areas where Cognitive RPA can make a notable difference in processes.
Monitor Application Health – Using Cognitive RPA, the health of the applications can be monitored easily by a variety of Software Robots during the development phase. BOTS can observe different data patterns, discover trends, and use suitable models to predict specific changes in the application.
Optimize Software Testing – Conventional optimization techniques become inadequate when there is a frequent change to applications. Manual intervention is worthless, and the Quality Assurance process has to be compromised. With cognitive RPA, optimize the Test assets to maintain a dynamic test suite that self-maintains the application life- cycle throughout the whole development process.
Self-Healing – Identification of abnormalities in a particular application and the efforts required. To identify, isolate and fix them accurately is a time-consuming and tedious task. The system integrated with the development of self-service BOTS can do the defect management process intelligently. This results in the elimination of efforts that current Quality Assurance systems significantly require.
A Holistic Strategy
Automation is transforming the way companies move towards building a digital workforce. Nowadays, Companies are using “robots” to perform everyday business processes by simulating how humans interact with software applications. To implement Enterprise automation strategy, we advise talking to our expert.