Robotic Process Automation (RPA) is using software for the automating of a repetitive task. Hyper-automation adds the more advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), to RPA. These can automate many activities to work in an orchestrated method.
Robotic Process Automation (RPA) utilizes software technologies like Machine Learning (ML) to perform routine tasks in a company’s department. ML is a part of Artificial Intelligence (AI). ML is the ability of computers to learn by using algorithms, which are like digital flowcharts using rules. ML gathers insights from raw data or detects patterns without the computers being specifically pre-programmed towards those goals.
Some describe RPA as a non-invasive technology used to automate a routine task or repetitive process by using robots to emulate human actions.
Two Types Of RPA
· Assisted RPA, where bots are deployed in a desktop PC with the employee providing minimal interactions, and the bot performing the more complex and repetitive processes.
· Unassisted RPA, where a centralized server manages scheduled bots for designated workflows.
Hyper-automation conjointly uses several advanced software technologies such as AI, RPA, Intelligent Process Automation (IPA), and decision management systems. These combine to improvise an orchestrated use of cognitive functioning that goes beyond simple individual process automation. The result is automatic decision-making, predictive insights, and recommendations for specific tasks to be performed using automation. Hyper-automation provides the advanced benefit of employing digital workers that perform human-like interactions and responses. These interactive bots can also be asked questions pertaining to their assigned functions. The questions can also be complex due to the employment of NLP.
RPA Vs. Hyper-Automation Similarities
Use Advanced Software Technologies
The primary function of automating a process that formerly was done by manual labor. Whether it is simple, individualized bots performing perfunctory tasks, or an array of bots managed by a centralized server, the goal is to automate and improve a process free of human error and fatigue.
Improve Performance Efficiency And Save Time And Costs
The investment in intelligent automation technologies will only be a huge gain and value-add for any organization.
Some differences between RPA and hyper-automation are:
· RPA is a repetitive robotic process that does not require human-like judgment. Hyper-automation uses more advanced Artificial Intelligence (AI) systems to manage several RPA applications.
· RPA is an individual business operation. Hyper-automation is a cross-functional collaboration encompassing multiple robotic processes as an orchestrated infrastructure. Hyper-automation goes beyond individual bots by using intelligent automation software to scale multiple automation capabilities across an organization.
RPA can improve an organization’s productivity. Hyper-automation will streamline all the individual automated processes and can provide intelligent orchestration of various tasks. Hyper-automation extends the legacy applications of business process automation, surpassing individual processes. It is the next step to digitally advance the efficiency of an organization’s business operations.
Hyper-automation can enable quick accomplishment of complex work that typically relies on knowledgeable input from employees. Digital workers employed for intelligent automation will enhance the functions of personnel.