A Review- The Golden Triangle Of RPA, AI And Digital Transformation









Abstract

The use of Robotic Process Automation (RPA) is expanding rapidly across industry verticals, geographies, and varied company sizes and business models, with companies chasing benefits including cost optimization, operations optimization, enhanced customer experience, lower errors in repeatable tasks, seamless management and control, and quick implementation turnaround and return of investment. That is promoting consistently increasing spending in RPA space. Industry analysts predict spending on RPA software and tools to rise between $1.3 billion and $2.9 billion in 2021. While it is possible to execute RPA without a comprehensive digital transformation program, the success of these digital transformation programs will not see complete success or serve its purpose without the inclusion of some automation capabilities. Evidently past few years RPA has seen some of most welcoming and the best adaptability in the corporate world, the academic research requires an enhanced and focused theoretical and synoptical analysis of RPA specifically empirical and start generating data sets. Performing a literature review and lifecycle analysis, we propose – in a holistic and structured way –traits that define success of RPA, providing preference as well as a focus for further research and challenges. Keywords: RPA, automation, digital transformation.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL • Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL