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Start your business with robots

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The RPA stands for "Robotic Process Automation." It supports several manual and repetitive tasks to automate like human beings. We can say that "RPA is a process of creation and training of software bot (automated programs) to automate the business process." "The RPA is the technology which allows anyone to configure the computer software or robot for emulating and integrating the actions of humans to interact within the digital systems to implement or execute the business process." RPA is the digital workforce. It interacts with the computer system in the same as the human does. It automates repetitive and tedious tasks. Robotic Process Automation is the sequence of commands which are executed by the automated programs under some defined sets of business rules. The primary purpose of RPA is to replace repetitive and boring clerical tasks into the virtual workforce by robots or machines. We train the bots (automated programs) what to do and let them do the work. The RPA is an acronym for Robotic Process Automation. The Robotic Process automation is used in both IT and Non-IT industries. Nowadays, every organization have a repetitive, boring, tedious task so, RPA is necessary to eliminate these types of task by making the automation of tasks.


The robots keep rising as AI-driven business transformation evolves

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With advances in machine learning, artificial intelligence and big data, companies can enhance their ability to predict rather than react to rapidly changing demands and expectations. By implementing a digital workforce of software robots, organisations can ensure that work is done around the clock, eliminate human error and reduce human dependency to drive revenue and ensure an'always-on' service for customers. Intelligent process automation (IPA) is improving results in many sophisticated processes such as loan applications for banking, claims adjudication for insurers, provider verification for healthcare and clinical data management for life sciences, as well as traditional technology processes like infrastructure services and information management. However, the fact remains that automation still has its limits, and there are some things that robots just cannot do, such as medical management, underwriting, case reviews, speak or comprehend colloquial slang, understand people's emotions and think on their feet. It is a stretch to say that robots and software now run industry.


Intelligent document processing: a complete guide

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According to Statista, the total enterprise data volume will double by 2022 worldwide, reaching more than 2 petabytes. And about 80% of this data will be unstructured (think: email, imaging, and other data that cannot be analyzed as is). Undeniably valuable sources of insight, the ever-growing volumes of unstructured data present a problem, though: handling it is less than rewarding for the human workforce. So, how do enterprises make the data they have drive real business value, and how do they do it without overburdening the employees? Intelligent document processing, or IDP for short, might be an answer.


Thinking of RPA implementation? Read this to know more on how UiPath can assist in your strategy

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Are you ready to seize the opportunities that will arise as we move into this automated era? To enhancing your business potential, automation of business & operational processes is one kay factor to look upon. With minimal initial investment, it provides quick organizational benefits. This happens without creating any type of disruption in the underlying systems. There are multiple of traditional solutions that does this approach.


RPA vs. cognitive automation: What are the key differences?

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RPA and cognitive automation are sometimes used interchangeably. While they are both important technologies, there are some fundamental differences in how they work, what they can do and how CIOs need to plan for their implementation within their organization. Key distinctions between robotic process automation (RPA) vs. cognitive automation include how they complement human workers, the types of data they work with, the timeline for projects and how they are programmed. CIOs also need to address different considerations when working with each of the technologies. RPA is typically programmed upfront but can break when the applications it works with change.