The popularity of RPA will scale new heights as development and deployment become simpler for business at all levels.
FREMONT, CA: RPA has been on the radar for enterprises. With the trend of digitalization rising, every business organization is now aspiring to transform its operations. RPA is one of the indispensable technologies for automating processes in any firm. However, implementing RPA is not straightforward. There can be significant roadblocks in developing, deploying, and maintaining RPA. The evolution of RPA is aimed at helping business organizations overcome these hurdles. Some impressive developments that make RPA even more promising, as well as convenient for companies, are listed below.
• No-Code and Low-Code Programming
Developing RPA solutions involves extensive and complicated coding. This used to be a hurdle for many companies until the emergence of low-code and no-code RPA development tools. Now, any company can use these tools and come up with their own RPA solutions. This helps companies minimize the need for coding expertise, as well as the dependence on third-party providers. The trend of low-code and no-code RPA is expected to gain momentum soon, enabling the democratization of RPA.
• Self-Modeling Frameworks for RPA
The processes on which RPA needs to be implemented have to be understood by developers. Only after that, RPA program development can happen. However, many companies lack clarity in their processes. This necessitates self-learning RPA. Currently, many companies are working towards enabling the automated modeling of RPA processes. Once mastered, self-learning RPA will allow business organizations to optimize RPA without manual trial and error procedures.
• Cognitive Automation with AI
Although RPA has been reducing the workload for companies by undertaking repetitive tasks, there remains scope for improvement. By converging AI and RPA, companies will be able to automate not just repetitive tasks, but also those tasks that require a certain amount of cognitive prowess. AI and ML are poised to make RPA applications smarter.
These developments are on their way to add even more value to the already popular technology of RPA.