Robotic Process Automation (RPA) has emerged as a game-changing technology in recent years, automating repetitive and mundane tasks across various industries. The RPA market has been growing at a rapid pace and is expected to reach $22 billion by 2025 (Source – Forrester).
In 2023, there will be a number of exciting new trends in RPA that you should know about. Here are some of them…
- Intelligent aka AI-enabled Automation
Artificial Intelligence (AI) and Machine Learning (ML) are becoming more and more commonplace in the world of RPA, allowing bots to take on more complex tasks than ever before. This could mean anything from automating customer service requests to taking over more complex data analysis processes. Intelligent automation can improve the accuracy and efficiency of processes and is expected to gain traction in 2023.
- Use of Natural Language Processing (NLP)
The use of NLP in RPA has become increasingly popular in recent years as it enables software robots to interact with humans in a more natural and intuitive way. By leveraging NLP technologies, RPA bots can understand and interpret human language and perform tasks based on the meaning and context of the input. NLP allows for bots to understand natural language commands, such as commands given by voice or text.
Some common use cases of NLP in RPA include:
- Chatbots: NLP can be used to create chatbots that can understand and respond to natural language queries and perform tasks such as answering customer queries, scheduling appointments, and processing orders.
- Voice recognition: NLP can be used to enable voice recognition capabilities in RPA bots, allowing users to interact with the bots using voice commands.
- Document processing: NLP can be used to extract information from unstructured data such as invoices, contracts, and other documents, enabling RPA bots to perform tasks such as data entry and invoice processing.
- Sentiment analysis: NLP can be used to analyze customer feedback and sentiment, enabling RPA bots to prioritize tasks based on customer needs and preferences.
Overall, the use of NLP in RPA can enhance the efficiency and effectiveness of business processes by automating tasks that were previously performed manually, while also improving the user experience by enabling more natural and intuitive interactions between humans and machines.
- Low-code RPA
Low-code RPA platforms offer businesses a way to create and deploy automation workflows without the need for extensive coding knowledge. With low-code RPA, businesses can reduce the time and resources required to automate their processes. In 2023 and beyond, we can expect to see more businesses adopting low-code RPA platforms to speed up their automation projects.
- Cloud-based RPA
Cloud-based RPA allows businesses to deploy and manage their automation workflows in a cloud environment. This offers businesses more flexibility, scalability, and cost-effectiveness. In 2023 and beyond, we can expect to see more businesses adopting cloud-based RPA solutions to reduce the burden on their IT teams and increase their efficiency.
- Enhanced Security
As companies start relying more heavily on bots for critical business processes, security is becoming an increasingly important concern. To address this issue, companies are investing heavily in security measures such as encryption and authentication protocols that ensure that their data remains safe and secure when being processed by their bots.
Wrapping up
As we move into 2023, the field of Robotic Process Automation is sure to continue evolving at a rapid pace. From AI-enabled RPA technologies to increased security measures, these five trends should give you a good idea of what’s in store for the future of automation technology. Keeping an eye on these trends can help you stay ahead of the curve while also ensuring your business remains competitive in today’s market.
If you need assistance in your automation journey, write to us at marketing@cloverinfotech.com and we’ll arrange a no-cost session with our team of experts.
