What Are The Future Scope of Robotic Process Automation?

What Are The Future Scope of Robotic Process Automation?

Large organizations and enterprises have integrated RPA (Robotic Process Automation) with the assistance of business process outsourcing services in almost all business operations to achieve greater organizational performance and efficiency. Since the groundbreaking RPA (Robotic Process Automation) technology launch, there has been considerable enhancement in ROI as highly repetitive and high-volume processes were done faster and more accurately. The future of RPA is promising as the technology is ever-evolving, and is striving to close the present gaps in technical inefficiencies. RPA is here to stay with the scope of tremendous advancements in the future. Read this blog post to learn how RPA or Robotic Process Automation changes the operational landscape of businesses in the near future.

What is RPA (Robotic Process Automation)?

RPA is primarily the strategy of implementing software bots to automate the workflow in various stages of process development. It is used for the operations of the organization and the applications that are used for the process of business. The RPA (Robotic Process Automation) technology is based on Artificial Intelligence and metaphoric software robots. The software involved in RPA can be used in different sectors like configuring digital data, collection of data, and also used to link the server and websites.

Scope of RPA (Robotic Process Automation)Technology

Robotic Process Automation has been widely used in the IT and Fintech sectors. The technology integrates smoothly with the existing IT infrastructure within an organization while improving processes and productivity.

Some use cases in the IT sector include:-

  • Automating Business Processes: customer/ employee boarding, invoicing, updating CRMs etc.
  • Web Tasks: Performing operations online and generating reports.
  • Data Handling: Transfer of data and scanning for relevant data, specifically for navigating web pages.
  • IT & System Administration Tasks: Regular software checks, periodic audits and distribution of software for different employees.
  • Data Backup and File Management: RPA can automatically backup data on cloud or database system logs and help in organized record keeping.
  • Batch Data Processing: Restart and recovery, integration with security systems, sending alerts, classification of service types etc.

Robotic and automation processes are also increasingly being adopted by financial institutions and banks for handling repetitive tasks like automatic report generation, customer onboarding, KYC, anti-money laundering, opening new accounts, mortgage lending, loan processing etc.

Current capabilities of RPA

  • There is a considerable increase in productivity as specific routine tasks are performed by RPA robots. A task that requires 3 hours of manual work can be finished within 15 minutes with the RPA technology.
  • There is no 100 percent human efficiency. RPA software can perform tasks that 2-5 employees can work on in the same duration.
  • With the implementation of RPA in business, processing errors can be avoided. Accuracy is assured when all the business processes are automated.
  • Improved analytics can be mentioned as one of the business benefits of RPA. Analytics enables businesses to gather data to make informed decisions. RPA technology is scalable to meet expanding business requirements.

Future Of Robotics In Manufacturing

The existing concentration of the industry is disposed to be on giving robots vision. Precisely, the growth of engine dream technology. This, collectively with the development of the Internet of Things, bounces machines the aptitude to process images and comprehend what they are “seeing.”

As this technology undergoes to grow, the next step is to give computers the ability to apply these mechanisms to learn on their own. For example, an android can currently be spontaneous to pick up and reside stuff, but in the future, it will subordinate ideas with machine learning to shape out its own software design through experiment and error.

Another major future of robotics in the manufacturing trends that will last in upcoming years are combined robots. This replicates the focus of the manufacturing industry towards creating automata that are humbler, easier to program, and able to assimilate into current processes. To make these robots nonviolent, there’s a huge market for shelter sensors that guarantee humans can work alongside the robots without any significant risks.

All of these things donate to robots that can be placed anywhere on the factory floor. The future will continue to improve technology like 3D entrenched vision, multispectral, and hyperspectral imaging. This, shared with the non-natural aptitude and deep learning, will authorize industrial robots to advance themselves and keep stride with the human workers around them. We have seen multiple companies that are working to enhance the future of robotics in the manufacturing field, and this factor also is being alive in the form of advanced technology.

The future trend in the robotics industry is probable to grow 175% over the ensuing nine to ten years, which will result in extra competition and invention, which will initiate these modern technologies onward. Combined robots will endure becoming innocent and their charges will go down as the industry enlarges and offers more possibilities. While robots are basically involved in the motorized industry, as they develop smaller and more precise, it’s prophesied that robots will also arrive at the computer electronics manufacturing area to promote with edifice compound things like smartphones or microchips.

By 2025, it’s predictable that the request for electronics manufacturing robots will match the locomotive industry. We’re already seeing development across all robotics industries.

Future phase of RPA

The upcoming phase is expected to influence both usage and workforce in businesses. In the near future, robotics-oriented automated tools will replace all manual tasks.

Attended automation

Attended automation is a trend that is gaining momentum. The need for attended automation has been understood by organizations as it can automate more processes and maximize returns on their existing RPA investments. This extends the functionality of bots through desktop automation. An attended automation robot can be called a digital personal assistant that functions on the desktop. The technology is expected to guide employees to deliver a better customer experience. Faster automation with more accuracy enhances the operational efficiency of businesses.

End-to-end automation of the complex processes acts as a bridge between the back office and the front office. With business processing outsourcing companies, enterprises can ease the task of processing complex customer requests.

RPA to become intuitive, intelligent, and smarter

Blending artificial intelligence with robotic process automation is the next step aimed at organizations and enterprises. This combines intelligent automation, intelligent process automation, and cognitive RPA. This is expected to ensure automation of more complex tasks and reduce rule-based tasks.

Cognitive automation will be able to efficiently handle exceptions and coordinate the entire decision-making process. Traditional RPA is compatible only with structured databases. However, intelligent automation is also functional with unstructured data like scanned documents, emails, letters, and voice recordings.

The RPA technology is expected to mimic human cognitive processes like:

  • The self-learning bots acquire input information, analyze it, and apply contextual rules to know how to use the information.
  • Reason based application of context and rules to arrive at conclusions
  • Correcting errors by the RPA bots themselves from previous experience

Self-correcting RPA bots

RPA is also vulnerable to bugs like any other technology. When more and more complex processes are handled by the RPA bots, there should be an efficient maintenance mechanism to ensure that the bots function smoothly. Today, erroneous RPA tasks are identified, isolated, and corrected by humans. We can expect that in RPA bots can scan themselves for errors and correct them. This will reduce the need for human intervention.

High-level process mining

In today’s RPA, process mining is fully functional. However, we can expect that process mining will get more sophisticated in the future. Bots will be able to discover tasks for the RPA ensuring extended efficiency and effectiveness. The AI-driven automation tools will possibly expand the scope of RPA. The intelligent RPA bots will be able to gather data on how users interact with applications and analyze the data to suggest opportunities for automation. The next level of agility in the automation of tasks is something businesses are eagerly waiting for. The automated discovery process ensures faster and more accurate identification of the right processes to initiate automation.

Wider adoption in the years to come

More enterprises are becoming aware of the benefits of RPA. There is a sharp rise in adopting and implementing RPA in the next few years. It will be used for more than one process and is expected to manage customer-focused and external processes. There are several enterprises that are moving from pilots and POCs (proof of concepts) to real production, which is why the capabilities of RPA are gaining a wider exposure.

Artificial Intelligence (AI)

While Artificial Intelligence is different from RPA, both can’t be separated. It is believed that the next transitional phase to RPA will be AI. The next stage of RPA will move beyond rule-based technology and start to include AI aspects.

Emergence of SPA (Smart Process Automation)

SPA or Smart Process Automation is believed to be an extension of RPA. The purpose of SPA is to automate the unstructured data work that robotics is incapable of managing all by itself. SPA uses Machine Learning that is an alternative to scripting the if/then rules. There’s a combination of machine learning, big data, AI and cloud that is used to improve processes and create models and refine models.

Integration with other tools

RPA will be used along with other tools and technologies. More and more enterprises are realizing that RPA doesn’t function optimally on its own, that is, RPA can’t expand on its own. Imagine RPA to be a huge, powerful and flexible tool, which is capable of a lot of things but when combined with other tools. RPA when integrated with human workforce and tools will make a complete and evolved workforce.

RPA 2.0

The next big change of RPA will see more AI, Digital Employees, Total Workforce, and Digital Transformation. The digital workforce encompasses digitally empowered employees who can contribute to innovation, creativity and collaboration. With an integration of all communication tools that employees use (email, instant messaging, social media tools, virtual meeting tools and HR Applications), the digital workplace can break down communication barriers and promote productivity, efficiency and innovation. It can only yield results, however, if the digital workplace strategy is implemented successfully and focuses on a cultural change.

Reduced operational costs

With better technologies and research at its disposal, we will see a decrease in the cost of RPA tools. With it, the other processes on work, the automation cost will dramatically reduce in the upcoming years.

Moreover, as the number of robotic vendors grows, the RPA licensing will see a significant decline rate in RPA licensing and with more space for changes.

RPA Security

With more significant responsibilities on the robots’ shoulders, the bigger are the possibilities of a breach and system failure. There will be an improvement in protection measures from the new types of cyber threats or any internal faults will see an increase due to a constant rise in security requirements.

Better Cloud-Based RPA Platform

According to “Robotics Process Automation (RPA) – 2018 Annual Report,” Everest Group, 2018; currently over half of all RPA processes (~57%) are attended.

Including cloud-based, unattended RPA represents the remaining 43% (33% on-prem, 10% cloud-based). The growth of IoT and improved cloud services gives more flexibility and security to Robotic Process Automation. The cloud supplies unlimited, off-site storage, and on-demand access to data.

Automation at its best

About 70% to 80% of rule-based processes in a business can be automated. RPA has a good hold in both the back- and front-office with advancements in AI, big data, speech recognition technologies, machine learning, and deep neural networks.

As a consequence of predicted growth in the field of Cloud-based tech and natural learning processes, RPA tech is positioned to be even more integrated, automated, and independent.

Jobs and Industries:

On average, IT departments spend almost 30% of the time on basic tasks. The number of hours spent doing the same old dull and repetitive work will decrease. With robots replacing them in repetitive tasks and managing the resources and inventories optimally, training for new and creative jobs will be availed.

Not only large-scale and private industries, but SMBs, public sectors, and the governments will also avail RPA services for data integrity and security. The RPA will spread like wildfire across the globe and market.

Human and machine staff will come together, creating new jobs in the technology domain as designers, RPA specialists, improving bots user interfaces and business intelligence, and process experts. The RPA will emphasize customer-oriented operations. With its self-learning capabilities, it is much easier to see further innovations in new applications to rise positively.

Top Most Future Trend In Robotics To Keep An Eye On

Robotics will continue to renovate industrial trade and business in several ways, but there are 5 trends in robotic computerization that will show a key role shortly.

Industrial Internet of Things Technology

Robots will progressively organize clever devices at the control of construction to gather data before unreachable to producers. This tendency is presently happening and will central to new stages of efficiency and competence.

Significance Of Industrial Cybersecurity

As robots develop an extra associated with interior systems for data assortment, the cybersecurity perils increase. Manufacturers will be involuntary to discourse vulnerabilities in their procedures and capitalize deeply in cybersecurity to confirm safe, dependable production.

Data Enquiry Develops An Inexpensive Differentiator

Robots will become a key source of data on the shop floor. The assortment of data, however, is just one part of the enigma. Manufacturers will have to an instrumental system to establish and examine all of this information in command to act on it.

Constructions Will Be Executed

As the future trends in robotics advances extensive approval, the essential for open automation constructions grows. A huge industry group of actors will work with business officialdoms to crop values and open certification that make robotic incorporation relaxed while refining product compatibility.

Collective Robots Will Continue To Cultivate In Popularity

Collective robots can work securely alongside persons and are often far inexpensive than their industrial complements. As collective robots become more accomplished in threatening trade and business settings, they will see superior embracing by manufacturers with firm ROI necessities.

Future trend in robotics has been a world-shattering technology in the industrial sector, but it’s still composed to transmute the industry over the next combination of years.

26th Apr 2021 Syed Furqan Ali

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