Introduction
From an emerging technology to a critical enabler of digital transformation, robotic process automation has changed the way organizations operate. Did you know that Asia Pacific has the fastest-growing market share of RPA with a CAGR of 35%? Also, studies show that 28.38% from 2024 to 2033? This gives all the more scope for industries to scale up and use RPA and ensure bilateral growth seamlessly. Whether you are a generative AI or a data science professional, if you learn RPA, you can stand out from the competition and become the most sought-after resource in the job market. The benefits of RPA in AI are that you can implement different models to help in streamlining workflows for organizations, thereby increasing their profitability, responsiveness, and flexibility. Organizations across industries will prefer your skills as it will help their company to increase employee satisfaction, engagement, and productivity by eliminating routine, mundane tasks from their operations. Also, due to the non-invasive nature of RPA, it can be implemented across various systems/models to accelerate digital transformation and automate workflows that are powered by legacy systems. Are you looking forward to becoming an established RPA developer? Here are five important benefits of learning RPA.
In this blog, you will learn:
- ● Why is RPA Transformative?
- ● Benefits of RPA Implementation
- ● Less coding
- ● Increased savings
- ● Improved accuracy and compliance
- ● Reduced impact on operations
- ● Enhanced Productivity
- ● Use Cases of Implementing RPA
Why is RPA Transformative?
Before you understand the benefits of RPA, you need to know what makes RPA transformative. A unique aspect of RPA technology is its ability to perform repetitive tasks and lower-value work typically done by blue-collar workers or associate-level employees. Tasks like logging into applications, moving files, reporting, and extracting, copying, and inserting data can be done flawlessly by RPA bots. If RPA is integrated with generative AI models, it can also perform cognitive processes like engaging with customers, understanding complex unstructured data, interpreting text/images/visuals, and even applying advanced machine learning models that enhance the decision-making process. This leaves more room for developers and RPA experts to focus on enhancing operations, collaborating with various teams, and enhancing models. Developers can brainstorm on various methods to implement RPA at different touchpoints in the existing process.
Benefits of RPA Implementation
Did you know that 72% of organizations strongly support intelligent automation strategies like RPA? Here are a few benefits of implementing RPA and how you can help organizations to enhance their operations by effectively implementing this model.
Less coding
RPA developers need not learn several pages of code. All they need to do is learn a list of a few key commands and can use them interchangeably to provide the right model that suits the organization. Also, with many drag-and-drop features present in the user interface, it is easier for developers to onboard non-technical staff and get them into the system.
Increased savings
You can also use RPA to reduce the workload of teams and reallocate resources to perform other priority work that does not require human input. This is sure to increase productivity and overall ROI. If you are an AI product manager, you can learn RPA and help organizations manage resources by helping developers perform complex tasks effectively. Implementing RPA can also reduce customer wait times, ensuring optimum customer satisfaction.
Improved accuracy and compliance
According to Deloitte’s 3rd annual RPA survey in 2018, 35%? Also, studies show that 92% of people agree that RPA has met or exceeded expectations by a large margin. Therefore, it goes without saying, there are many benefits of implementing RPA in banking, e-commerce, IT, and many other industries. Did you know that RPA can also provide an audit trail that helps banks and accounting firms to monitor progress and solve challenges quickly? This is because you can assist teams in programming RPA bots to follow specific workflows and rules, which reduces human errors. It can help in improving accuracy and compliance with regulatory standards.
Reduced impact on operations
A unique property of robotic process automation is its ability to be implemented at various touch points without impacting daily operations. This makes it the most desired technology for companies to implement on a large scale. Robotic process automation software does not disrupt any underlying systems as bots work on the presentation layer of applications, thereby allowing you to implement bots in areas that lack an API. This also enables developers to implement deep integrations with ease.
Enhanced productivity
According to a survey conducted by UiPath on 4,500 global workers, 68%? Also, studies show that 28.38% of them believe that implementing RPA will increase their productivity substantially. Removing repetitive high-volume workloads from the team can help RPA to allow people to focus on more thoughtful and strategic decisions in a seamless manner. This will boost employee morale and have a positive effect on employee happiness, resulting in increased productivity.
Use Cases of Implementing RPA
Due to its widespread applications, robotic process automation can be used in any high-volume, rules-driven landscape as it reduces redundancy significantly. It can also empower cognitive processes that require higher-order AI skills. RPA is now driving new efficiencies by freeing people from repeated tasks. It is widely used in IT, e-commerce, BFSI, retail, healthcare, supply chain/logistics, and manufacturing. It has helped in amplifying customer service operations and logistics. Prominent companies like Deloitte, Amazon, Wells Fargo, TCS, and more have implemented robotic process automation in several of their operations across various departments. As an AI project manager or RPA lead manager, you need to ensure that RPA technology is implemented to support end-to-end operations like identifying automation opportunities, building high-performance robots, and managing several automated workflows. Juggling between these tasks proactively, addressing concerns, and constantly looking to implement process enhancements is what makes you an efficient RPA lead manager.
Are you looking to take up a robotic process automation course? Look no further than Eduinx, as we have a team of non-academic mentors who are here to help you scale up in your career by familiarizing yourself with the nuances of RPA and AI. Our mentors have over a decade of experience in generative AI and automation, and help you understand the benefits of RPA in AI and provide an engaging and immersive learning experience. At Eduinx, we help you stand out from the competition by teaching you industry-relevant concepts and helping you perform capstone projects. We also provide 360-degree career support and assist you in placements. Learn more about our AI project management and data science, and generative AI course here.
Reference links:
https://www.ibm.com/think/topics/rpa#:~:text=RPA%20use%20cases-,What%20is%20RPA%3F,forms%2C%20moving%20files%20and%20more https://www.uipath.com/rpa/robotic-process-automation
