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Robotic Process Automation (RPA) is emerging as the most vital technology for streamlining business processes in the enterprise. RPA can be considered as the next logical step towards automating the basic functions of an organization. It is a natural progression for an organization’s digital transformation.
As organizations increasingly adopt RPA, which relies on software robots to automate tedious tasks, expertise with RPA tools and implementations will become more important part for business analysts, business intelligence developers, data or solutions architects, and system integrators or administrators, whether it is banking, medical, tourism, defense RPA is emerging as a significant element.
RPA is not an inherent part of the organization’s IT infrastructure. It is added software that enables the existing tech to work more efficiently without altering any parts of the infrastructure. Since machine learning and AI are involved in it, the can adapt to changing circumstances, exceptions and new situations.
Wiley has partnered with Automation Anywhere to prepare the future workforce for more than 300,000 automation jobs. The Wiley-Automation Anywhere Official RPA Study Guide and Courseware Series will include a competency-based curriculum for specific job roles, study guides and digital courseware including videos, online assessments and lab work.
These official study sources will pool expertise from both Wiley and Automation Anywhere to create a successful learning path for students seeking RPA career opportunities. This collaboration has the potential to build a robust ecosystem with the core competencies required in the future job roles and readies candidates for these in-demand jobs.
Become an expert in Robotic Process Automation and get added opportunities to study abroad and get a Wiley Industry 4.0 certification.
A1. Automation is the broad concept of using machines or software to perform repetitive tasks with minimal human intervention.
RPA (Robotic Process Automation) is a subset of automation. It uses “software robots” to mimic human actions (clicking, data entry, navigating interfaces) in existing systems without altering the system.
In short, all RPA is automation, but not all automation is RPA.
A2 After implementing RPA, organisations often move toward intelligent automation. This blends RPA with AI, machine learning, natural language processing, and analytics. The goal is to handle more complex, unstructured tasks and decision-making.
Professionals can upskill in AI, cognitive automation, process mining, or system integration roles at the individual level.
Together, APA and RPA help organisations automate not just routine tasks, but also more complex, dynamic workflows.