Future Trends In RPA: Cognitive and Hyper Automation
Ehsun Atta
RPA | Certified UiPath/AA/Power Platform developer | Consultant Development - Systems Limited |
Robotic Process Automation (RPA) has come a long way from its humble beginnings as a tool for automating repetitive tasks and has rapidly evolved over the past decade. It has made significant impact on businesses across various industries. It involves the use of software robots to automate repetitive, rule based and mundane tasks ultimately enhancing efficiency, reducing cost and minimizing errors. While RPA has demonstrated its transformative potential, the future of this technology promises even greater advancements. This article covers three key trends that are shaping the future of RPA: Cognitive, Hyper automation and Cloud Based RPA.
Cognitive Automation is infusing RPA with artificial intelligence and machine learning capabilities. This trend involves integrating artificial intelligence and machine learning, enabling bots to perform tasks that require decision making, natural language processing and problem solving. It includes:
●???? Advanced Data Processing
Cognitive automation is capable of processing and extracting meaningful data from unstructured data sources, such as text, images and even voice.
●???? Enhanced Decision Making
Bots will become more adapted at making complex decisions based on historic data and logic. They can adapt to changing situations and handle exceptions accordingly.
●???? Natural Language Processing (NLP)
Bots will be proficient in understanding and generating human language, improving interactions with employees and customers.
●???? Predictive Analysis
With historical data and machine learning, bots can make predictions and offer recommendations. Businesses can leverage this for strategic planning and decision making.
Hyper Automation represents the convergence of various technologies like RPA, AI, ML, Process Mining and Analytics to create comprehensive and integrated automation eco system. This trend pushes the boundaries of RPA in several ways:
●???? End to End Process Automation
Hyper Automation aims to automate entire end to end business processes, rather than isolated workflows.
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●???? Real Time Process Monitoring
Businesses can gain real time insights of their automated processes allowing immediate optimizations ensuring efficiency and improved customer experience.
●???? Automation Of Complex Tasks
Hyper automation tackles complex dynamic processes that were previously deemed too complicated or required human intervention.
FUTURE TREND: CLOUD BASED RPA
The adoption of cloud-based RPA solutions in increasing rapidly. These solutions offer greater accessibility, flexibility and scalability.
●???? Remote Work Accessibility
Bots can be managed and accessed from anywhere, making it ideal for businesses with distributed workforce.
●???? Reduced Infrastructure Cost
Cloud-based RPA reduces the need for extensive infrastructure investments, making it more cost effective.
●???? Scalability
Cloud solutions can easily scale with business growth, accommodating an increasing workload.
CONCLUSION
The future of RPA is bright, with cognitive and hyper automation leading the way. Businesses that embrace these emerging trends can anticipate improved efficiency, enhanced decision making and a more productive workforce. As RPA continues to evolve, its potential to transform industries and streamline operations in virtually limitless.