When we talk about the future of the business landscape, all the industries are heavily leaning towards automation to pace up their business operations. However, the organizations that are working on automation first goals usually run on different principles compared to the traditional or conventional businesses.
More importantly, any problem that business executives encounter in the modern workspace brings up the idea of exercising a hybrid workforce and not humans or software merely. RPA or Robotic Process Automation here brings all the capability to automate what is necessary and skip the repetitions taking all the manual efforts.
In other words, Automation First objectives are more about the vision transformation of an organization. The organizations that are pursuing the future of work by leveraging human creativity can therefore avoid sacrificing the bottom line.
Being associated with the quality assurance service industry, we believe deploying RPA is more of an addition to the foundational mindset. Therefore, it becomes necessary to focus on outcomes, automate everything that makes sense, and establish systems that complement the automation mindset.
In this blog, we will aim at understanding the impact that the Think First Automation concept using RPA could create while exploring how automation can redefine the future of work. But before that,
Understanding The Outcome-Oriented Vision
The automation first concept contains much scope for innovation compared to the already existing technologies from the past two decades. Especially, the disruption of tech, which is possible with the cloud and mobile technologies, requires access to more dynamic moves.
Also, the automation first concept is an outcome-oriented process that is meant to empower hybrid workforces. Therefore, any progress made to create an outcome-oriented vision through RPA requires the effective placement of humans and robots wherever necessary.
With this agenda in mind, let us quickly jump on to understanding how Robotic Process Automation can redefine work in amalgamation with futuristic technologies.
IoT and Big Data
IoT is all about the evolution of physical devices through the network. From smartphones to industrial equipment, IoT holds the potential to streamline and simplify communication between systems and devices. Also, the information and gestures processed through IoT devices create space for unstructured data complementing the Big Data goals.
With around 29 billion connected devices forecasted by 2022, around 18 billion are predicted to be related to IoT. More importantly, the numbers are likely to increase in the future, giving way to massive data generation that can support the Big Data initiatives.
Talking about the present and the future of RPA with IoT, the combination of the two has great potential to transform business processes and redefine operational efficiency. For Big Data, RPA can be used to analyze information and create valuable business insights.
For instance, Robotic Process Automation paired with software robots can be used to automate data entry, streamline production lines, or work on tasks like claim processing. Besides, RPA can be used to monitor consumer activities in the retail industry, learning how consumers interact with electronic devices and users on social media.
Another interesting aspect of using RPA can be seen as implementing the big data closely for identifying typical business patterns. This can help identify all the inefficiencies and get over the operational bottlenecks that might hamper the financial aspect of the business.
All in all, the future of the tech landscape holds significant growth for IoT, and therefore RPA can be leveraged to foster necessary data management, internal workings, and more streamlined business operations.
Though RPA can help process a wealth of information from connected devices, processing information from digital processes requires computational power. In this regard, cloud technology can be accessed to aid the process of analyzing the data in highly decentralized facilities. Also, the cloud can be used to offer on-demand access to big data with unlimited off-site storage without any need for local servers or computers.
Coming to the statistics shared by marketsandmarkets.com, “the global cloud computing market size is expected to grow from USD 445.3 billion in 2021 to USD 947.3 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 16.3% during the forecast period.” Moreover, the cloud offers all the computing power necessary to automate the most complex tasks. In other words, cloud technology is going global, and RPA has all the capabilities to complement the forecasted developments surrounding cloud services.
Consider a quick example of the manufacturing industry, a sector that requires high system availability to maintain the automation process. While RPA systems could help complement the onsite software package, moving to remote cloud servers could help have the necessary operational productivity.
Though RPA robots are capable of handling the most repetitive tasks of varying complexities, the future of RPA automation could involve the use of machine learning technology to automate decision-making as well. Machine learning paired with RPA could help integrate big data into the operational model to explore previous experiences and make impactful decisions.
In other words, Machine Learning and RPA together can help make predictions based on available data patterns and simplify the process to work on unforeseen errors. Also, the combined power of both technologies can be used to escalate business processes by taking action in the most unexpected scenarios.
As per marketsandmarkets, “the global machine learning market is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% with proliferation in data generation and technological advancement as the main driving factors.” Therefore, amalgamating machine learning and RPA for forecasting, predictive analytics, and real-time optimization could exercise great potential across all industries.
In a nutshell, the addition of RPA to automation requirements along with machine learning and other technologies of the future could help accelerate the entire digital scenario. Especially when RPA enables quick data generation and processing, the modern-day organizations could experience all work forward on their goals surrounding productivity. Also, RPA can help make operations more agile and responsive, allowing businesses to meet their competitive goals in the most intense marketplaces.
Whether it is the basics of workflow management or the advanced operational automation needs, RPA carries the power to transform the global digital landscape. Though it has already done the same for a long time, pairing it with Big Data, Machine Learning, and IoT could revolutionize the operations for achieving the extraordinary.
Since we are not aware of how automation could unfold in the upcoming times, RPA can help create a highly promising future. Above all, deployment of RPA across different industries can deliver a critical competitive advantage to the businesses that are tech-driven and need to expand for the better.
Feel free to share your thought via comments on RPA inclusion in different industries.