Robotic Process Automation RPA

The Future of RPA

The Future of RPA

RPA (Robotic Process Automation) is more about the automation of monotonous and repetitive activities in the interests of enhanced efficiency and effectiveness other than actual robots doing human tasks. RPA technology is enhancing at a steady pace, with powerful technological developments occurring regularly.

A recent report entitled “Disruptive technologies: Advances that will transform life, business, and the global economy” made by the management consulting firm McKinsey & Company, analysts predict that by 2025, automation technologies will have a strong economic impact of between $5.2 and $6.7 trillion.

Some of the technologies associating with this trend include machine learning and big-data technologies. And the relationship between these platforms and automation is robotic process automation (RPA), which relies on each of these systems to remain as one of the leading automation technologies.

It’s very surprising to see that there are people who still confuse RPA with Artificial Intelligence (AI). RPA are robots that can automate various repetitive, labor-intensive, and rule-based tasks. It can repeat the actions of the keyboard and mouse. It can do numerous tasks such as the opening of emails and attachments, collate, analyze social media statistics, and follow the if/then rules.

Future Of RPA

Growing IoT and Big Data

The IoT consists of several devices such as smartphones, TVs, cars, wearable devices, and industrial equipment, having internet connectivity and capacity for communication between people and systems. As part of the IoT, internet-connected devices enable the increased generation of unstructured data, also referred to as Big Data.

A prediction was made by an IT research and advisory company Gartner that by the end of 2017, there will be 8.4 billion internet-connected devices globally by organizations, businesses, and their consumers. And by 2020, these numbers are expected to increase in the future, with about 20.4 billion devices.


With the help of RPA, the IoT and the interrupted connectivity of devices have changed several industries in simplifying business processes and optimizing operational efficiency. More particularly, RPA can add to the analysis of Big Data and discover valuable business insights. For instance, RPA’s software robots record all their actions in automating data entry, claims to process or optimizing production lines, and the time it takes to accomplish such tasks.


RPA also track consumers’ online activities, observe how they use their electronic devices, or interact with other users on social media.

RPA possess the ability to analyze these data sets. By observing this Big Data more closely, RPA can uncover business patterns that were not formerly observed.


The tool may point out that there are inefficiencies and delays in operational processes, assisting in informing a company’s operational planning and financial budgeting. With the essential growth expected of the IoT in the future, RPA’s ability to move enhanced data management simplified internal workings, and positive business operations will only be increased.

Improved Cloud Services

Without a doubt, RPA offers companies with an abundance of information and an entire increase in digital processes that generate data through internet-connected devices. Nevertheless, RPA platforms, specifically the software robots that calculate process steps, need computational power to analyze this data.

Enhancements cloud technology is becoming more and more valuable in this regard as more computational power is made available in decentralized facilities across the globe. The cloud provides on-demand access to unlimited, off-site storage for Big Data. It also gives the computational power to analyze data without organizations having to specify their local servers and strong computers.

By extremely increasing their computing resources through the cloud, businesses can automate more complex processes. And what’s more, cloud-based technology is only expected to become worldwide. The global media company Forbes, for instance, recommended that the cloud computing market is projected to rise from $67 billion in 2015 to $162 billion in 2020, accomplishing a compound annual growth rate (CAGR) of 19%.

As a result of these estimated developments, RPA technologies are placed to become even extraordinarily integrated with cloud services in the future. For instance, many sectors, such as manufacturing, depend on high systems availability made feasible through cloud computing to maintain their automation processes.

While the automation enabled by RPA can certainly still be delivered as an onsite software package, changing business processes to remote servers as part of the cloud will enable lots of businesses to attain extraordinary operational productivity and efficiency than has ever been possible in the past.

Enhanced Machine Learning

RPA software robots can automate simple, repetitive processes and also a series of more complicated tasks. RPA robots will have the ability to enhance their performance in the future and make decisions by incorporating intelligent technologies like machine learning.


Computer systems can enhance their performance by incorporating Big Data and adapting to recent rules based on former experiences without human intervention through machine learning algorithms. This implies that such technologies can make predictions based on the detected data patterns, deal with unexpected errors and exceptions in business processes, and take actions based on scenarios that are never seen.

In 2016, McKinsey’s suggestion was made in a report that machine learning’s greatest abilities include enhancing forecasting, predictive analytics, and real-time optimization of business operations.

Together with this growth of machine learning technologies, industry analysts also recommend the combination of RPA solutions with extraordinary intelligent technologies has a great ability for universal adoption across every industry.

With the inclusion of RPA to offer process automation support, the enhancement of machine learning and the development of great intelligent technology will only be speedily accelerated.

Because RPA can speedily generate and collect data, merging RPA with intelligent technologies implies that the “learning” process can occur at faster rates. While these two technologies are just beginning to be utilized, the improved automation they can produce implies that companies can nurture enhanced productivity and creativity progression.

Businesses will become more active and responsive in processing business transactions, a vital component of being ahead in this current intense competitive and global marketplaces.

The emergence of SPA (Smart Process Automation)

Smart Process Automation (SPA) is known to be an extension of RPA. The SPA goal is to automate the unstructured data work that robotics is unable to manage everything by itself.

SPA makes use of Machine Learning that is an alternative to documenting the if/then rules. There’s a merging of machine learning, big data, AI, and cloud used to enhance processes and develop models and improve models.

RPA 2.0

The great incoming transformation of RPA will experience more of AI, Digital Employees, Total Workforce, and Digital Transformation. The digital workforce includes digitally empowered employees who can greatly add to innovation, creativity, and collaboration.

Alongside an integration of every communication tool that employees use, such as email, instant messaging, social media tools, virtual meeting tools, and HR Applications. The digital workplace can simplify communication barriers and improve productivity, effectiveness, and innovation.

It can only produce results, although if the digital workplace strategy is carried out successfully and pays attention to a cultural transformation.

Conclusion

The next level of automation will be revealed when machine learning abilities and artificial intelligence become sharp enough to use RPA considerably.

We cannot precisely understand how automation technologies will turn out in years to come. However, we have good evidence that the future of RPA, without a doubt very promising. As the prevalence of RPA rises and automation experiences an enormous degree of deployment in more diverse industries, the full advantages of automation technology will not only be achieved, but they will also be leveraged as a vital competitive benefit in several populated, expanding industries.

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