Robotic Process Automation (RPA) is a step-change in the simplification of process and manual tasks, accomplished by using software robots to execute repeated, high volume tasks. RPA typically takes place without any human involvement. It reduces costs and can enable organizations to become agile, more competitive and meet customer needs better.
In this article we will look at Intelligent Automation technologies. Companies have been exploring how these technologies can complement RPA strategies and help them overcome some of the challenges associated with their use. There are a number of proven use cases for which AI is a viable solution including Finance Services, Healthcare Services, Manufacturing Services and Compliance Tasks.
In the coming year 2022, RPA will be remembered not so much for its innovations, but for the development and maturation of already existing trends. RPA should be a welcome addition to multi-vector automation strategies for IT and business leaders.
The RPA technology enables various intersections with these IT pillars in a results-driven way. It’s been a hot topic and is now entering a phase where IT leaders and their teams are reevaluating which of the use cases actually deliver results.
Automation can be incremental, which is one of its great advantages. The system administrator and sometimes even the reliability engineer may be looking at this from the perspective of automation. Whenever possible, automate tasks you do manually often. This way, you’ll never have to repeat them.
Bash and other tools, RPA tools, and other technologies that enable automation are a great way to accomplish this incremental approach. Nonetheless, automation is not a plan in and of itself. It is the CIO’s responsibility to build an organization’s strategy to enable and encourage incremental automation, and to ensure that team members spend their time and resources on initiatives that contribute to the organization’s broader objectives.
Below are four trends that will influence and intersect RPA strategy in 2022.
We are going to move from People Process Tools to RPA
RPA and other forms of automation should learn the first page of the DevOps textbook: it’s about people, processes, and technology. Too many automation initiatives focus only on technology, and when they consider people, they often give only limited attention to them in terms of negative impact on jobs.
Knisley stresses the importance of this moment in the context of complex change: organizations are investing billions in intensive digital transformation initiatives , but often get mixed results at best.Most of the time, this is caused by a lack of transparency and Companies automate and transform processes without knowing what they are doing.
Intelligent Automation is Collaborative, Not Competitive
AI/ML are among the technologies commonly referred to as “Robotic Process Automation”.This implies that RPA isn’t really “smart” – a bot can’t learn to stay updated or adapt automatically to changes in the interface. Automating with intelligence involves combining simpler forms of process automation with more advanced cognitive technology and vice versa.
At the moment, its potential is ahead of reality. The RPA market is more competitive than community driven, as is the wider automation and AI industry. Fortress IQ’s principal consultant for process improvements and automation, John Knisley, says that true intelligent automation, by definition, requires collaboration.According to him, in 2022, more attention will be given to the need to create a collaborative intellectual ecosystem.
A complete end-to-end intelligent automation strategy requires a variety of technologies, including process and activity tracking, business intelligence, low-code platforms, and other services. In order to realize many of the promises of automation, a comprehensive set of tools is needed. As the market demands it, this ecosystem will grow.
The robots will take away your job narrative is no longer relevant
If your organization is in the middle of significant automation, leaders shouldn’t ignore or dismiss this fear. In fact, silence from management could be detrimental to job security.
With automation, labor costs will decrease and production will rise, but “rise of the machines” also implies a decline in human employment.Especially in corporate workplaces and other workplaces where critical thinking is fundamental.
We recommend latching on to more advanced forms of artificial intelligence that aren’t widely utilized today if you’re worried about robots taking over. It is unlikely that RPA can replace an individual’s entire job responsibilities. Since bots are rule-based, they are suitable for repetitive tasks like data processing. However, they are incapable of making quick decisions on the fly or taking into account changes in circumstances.
RPA strategies are complemented by AI-proven use cases
AI/ML used in enterprise settings today typically falls into one of two categories: optimizing enterprise-wide data-driven decisions, like pricing or product recommendations. Helping management develop a plan to reduce carbon emissions by exploring options and/or making decisions on a complex initiative.
Bulk data processing can be automated by building optimization algorithms into it. Customer service is another example of automation being used to work with people. AI can present the representative with a number of possible solutions, and then carry out the solution chosen by the representative.As with AI itself, RPAs using AI will have bugs. In addition to RPA performing smoothly and solving increasingly complex tasks, artificial intelligence can lead to disastrous results.