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Robotic Process Automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software. RPA is useful for automating business processes that are rules-based and repetitive.
According to Flobotics, 53% of respondents have already started their RPA journey, and 19% plan to adopt RPA in the next two years. Around 80% of finance leaders have implemented or are planning to implement RPA.
RPA provides more accurate results than manual work and saves labour and time. As the work done by RPA is fully automatic, it is quick in nature and also reduces manual efforts and time.
According to UpGrad, robotic process automation (RPA) is one of the fastest-growing fields in the tech industry. The demand for RPA professionals is increasing, and the salaries are competitive. Amongst the most in-demand RPA jobs is that of an RPA developer, also referred to as an RPA or robotics engineer.
Is RPA a good career?
Yes, RPA is a good career choice. According to Forbes, RPA is one of the fastest-growing fields in the tech industry. The demand for RPA professionals is increasing, and the salaries are competitive.
In India, the average salary of an RPA developer is around Rs. 565,000 per annum. The maximum and minimum limits that this base average salary can reach are Rs.1,016,000 per annum and Rs.357,000 per annum. In the United States, the average salary for an RPA developer is $102,942 per year. The typical range of a salary for this kind of job is going to be between $84,000 and $127,000.
How do RPA robots work?
RPA robots work by mimicking human actions. They can interact with digital systems and software just like humans do. RPA robots can perform tasks such as extracting data, filling in forms, moving files, and more. They use APIs and user interface (UI) interactions to integrate and perform repetitive tasks between enterprise and productivity applications.
By deploying scripts that emulate human processes, RPA tools complete autonomous execution of various activities and transactions across unrelated software systems.
Which RPA tool is best?
There are many RPA tools available in the market, each with its own strengths and weaknesses. Some of the most popular RPA tools include:
- UiPath: UiPath is a leading RPA tool that offers a wide range of features and capabilities. It is known for its ease of use and scalability.
- Automation Anywhere: Automation Anywhere is another popular RPA tool that offers a wide range of features and capabilities. It is known for its flexibility and ease of use.
- Blue Prism: Blue Prism is an enterprise-grade RPA tool that is known for its security and scalability. It is designed for large organizations that require a high level of security and compliance.
How to learn RPA?
- UiPath Academy: UiPath Academy offers a wide range of courses and tutorials on RPA. The courses are designed for beginners and experts alike.
- Automation Anywhere University: Automation Anywhere University offers a wide range of courses and tutorials on RPA. The courses are designed for beginners and experts alike.
- edX: edX offers a wide range of courses on RPA from top universities and institutions. The courses are designed for beginners and experts alike.
Is RPA still in demand?
Yes, RPA is still in demand. According to Gartner, the worldwide robotic process automation software revenue grew 19.5% in 2020. The demand for RPA professionals is increasing, and the salaries are competitive.
Examples of robotics process automation
- Invoice Processing: RPA can be used to automate the process of invoice processing. RPA robots can extract data from invoices, fill in forms, and move files.
- Customer Service: RPA can be used to automate customer service tasks such as responding to emails, answering phone calls, and more.
- Data Entry: RPA can be used to automate data entry tasks such as entering data into spreadsheets, databases, and more.
- Artificial Intelligence (AI): AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI can be used to enhance the capabilities of RPA robots.
- Machine Learning (ML): ML is a subset of AI that involves training algorithms to make predictions or decisions based on data. ML can be used to improve the accuracy of RPA robots.
- Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans using natural language. NLP can be used to enable RPA robots to understand and respond to human language.
- Intelligent Automation (IA): IA is a combination of AI and automation technologies that can be used to automate complex business processes.
Robotics Process Automation (RPA) has revolutionized the way organizations streamline their workflows and boost operational efficiency. As a transformative technology, RPA enables the automation of repetitive tasks, freeing up human resources for more strategic and creative endeavours.
Its ability to integrate with existing systems, enhance accuracy, and reduce costs makes it a valuable asset across various industries. As businesses continue to embrace digital transformation, RPA stands as a key driver in driving productivity and innovation.