Robotic Process Automation Tools, Process Automation and Their Benefits: Understanding Rpa and Intelligent Automation, Paperback/Mr Srikanth Merianda

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Description Robotic process automation (RPA) is the use of software equipped with artificial intelligence (AI) and capabilities of machine learning (ML) so as to handle high volume, and repeatable task that required to be performed by humans previously. Though robotic process automation is mostly viewed as threat to job market since they have the ability to do several tasks continuously thus replacing employees, Some IT leaders takes it as a positive thing to human workers as they will eliminate mundane as well as repetitive work from their everyday tasks, allowing them to focus on much engaging projects and tasks. As the RPA take over the field, the will be new business opportunities, new roles, and more demands. The lucky are those who will embrace it since will prosper at the end. The Future of RPA: As technology is moving fast, people should expect things to witness in RPA field. Here are some of the predictions we have regarding the RPA. - The spread of RPA impact Within Organizations - Integration of RPA With Other Tools - Artificial Intelligence In near future use of automated tools in the organization will be part and parcel of any business. About the Author ABOUT THE AUTHOR Srikanth Merianda is advisor, entrepreneur, and investor with over 22 years of integration and automation. He has worked for Convergys, Nortel Networks, and Blackberry as Project Manager, Solutions Architect, and Implementation of mission critical projects. Srikanth has successfully started multiple IT Consulting Firms, Business process outsource Firms, RPA Center of Excellence and Mobile Apps development firms. He guided these companies through start-up, survival, turnaround and growth phases. Srikanth is a passionate programmer and an enthusiastic learner of all things technology. He constantly looks for ways to make work and life easier with the tools provided by technology. He holds a bachelor's engineering degree in Computer Science and a Master of Science in Computer Science from the