Top RPA Trends among UAE Companies

Vimal Ramachandran, Director

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    More and more companies are adopting Robotic Process Automation (RPA) as a tool to automate their repetitive tasks and to streamline their processes in general. Moreover, COVID-19 has accelerated the adoption a tad higher; thanks to unavailability of the workforce and keeping touchpoints as minimal as they can. According to a study from Gartner, the companies around the world would spend nearly $1.5 billion on RPA software alone this year, and not only that, this figure will also exponentially grow in the next foreseeable future. Middle East is often considered as a hub of innovative adoptions and here too the studies say almost 20% growth for RPA related software this year.

    Hyper Automation

    In simple words, Hyper Automation is a more advanced and smarter version of the traditional RPA. Hyper Automation is generally adopted by large-scale companies to process large volumes of their business data seamlessly across many departments. It constitutes of artificial intelligence, business intelligence and traditional RPA tools, enabling automation of execution of any repetitive tasks. Hyper Automation also dynamically discovers new business processes by creating bots on the way. The process helps in automating undocumented processes that rely on unstructured data inputs. The technology also allows businesses to adopt automation at a much higher level than traditional RPA automation, meaning more complex tasks can be streamlined effectively. This means that DevOps management, overall monitoring, integration of third-party tools, all can be automated at once.

    Advanced Autonomics

    For companies trying to cut of their labor costs, robotic automation will offer an immediate value as it automates lot of repetitive tasks. Studies have shown that the average cost of developing a BOT is only one third of the cost per a full time equivalent (FTE) person. There is also the process of getting insights from Bots, as it captures everything that it encounters along the way. This can lead to getting meaningful insights and helps business in where all they can improve in their operation processes.

    The next level of RPA vendors is concentrating on developing applications with advanced data mining capabilities with the help of artificial intelligence technology. This means more and more complex processes can be automated, irrespective of the level of unstructured data present in it.  For that an organization might have to re-engineer their existing processes and bring in strong governance framework and change management controls.

    AI Security

    We have discussed about Hyper Automation and advanced autonomics; all these technologies offer great value for money for the companies and transform their business to an altogether different level. But all these come with a price. Security is a big concern for industries across any vertical or size, but it is a fact that automation can also bring new risk. Identifying potential vulnerabilities and security gaps would be a priority for many companies.

    AI driven RPA powered security systems is going to be a trend for the future; AI training data, ML models and training pipelines can be automated through RPA. Cybersecurity processes can be automated and with the help of ML, different attack patterns can be understood and detected at an early stage. Some of the examples include VPNs providing secure remote access to the RPA BOTs and anti-viruses, anti-spyware applications used in RPA security to secure the system from various viruses and spyware cyber-attacks.

     

     

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