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Showing posts from August, 2020

How process automation works by combining RPA & AI together?

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  Robotic Process Automation (RPA) is a technology adopted widely in recent years by several businesses. In the projects, those who were responsible for the tasks started easily, had excellent results with little efforts utter "quick wins." There is a considerable high demand for the RPA in the years ahead, according to Gartner.   On the other hand, after a while companies start experiencing difficulties in finding the right processes for automation using RPA. At some point, technology appears to reach its technical and economic limits due to the increasing unstructured data.   What are the strengths of Robotic process automation (RPA)? One very good thing is that RPA , based on rules the technology processes structured data fast, consistently, and accurately. A special benefit of RPA is that deep integration into multiple systems is not required. Yet it operates user or desktop interfaces of the respective applications. Various systems can be connected quickly....

Simplifying Intelligent process automation

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  While Digitalization is on everyone's mind for years, still, 68% of the business processes are carried out manually. Due to repeated activities and extensive documentation organizations are tend to lose a thousand hours of productivity. But how will businesses cope with that? This is where Intelligent Process Automation (IPA) comes into work. Intelligent process automation is a combination of various technologies listed below to understand it better.   Robotic Process Automation (RPA)-  The use of software robots that can interact with systems in making automation of business processes possible. Predictive analysis-  Prediction of results using statistics and machine learning algorithms. Artificial intelligence (AI) & Machine learning (ML)-  The use of software-based systems   mimics human intelligence processes and can know without any specific instructions. Natural language processing (NLP)-  The capabi...