The Future of Work – Artificial Intelligence and RPA

The Future of Work - Artificial Intelligence and RPA

Artificial Intelligence and Automation are transforming the way we work and live. It can be seen that changes brought by AI, Machine Learning, and autonomous systems have caused job losses.  Since change is inevitable, we must understand how the work is going to change with the involvement of these trends. 

These technologies are expected to transform the nature of work and the workplace in the near future. Machines will be able to carry out most of the tasks done by humans, complement their work, and perform some tasks too. With this pattern, some occupations will decline, some will grow, and many will change. In the near future, these latest technologies will contribute to the economy through their contribution to productivity and will be seen in many other fields of work.

Artificial Intelligence

Artificial Intelligence has been around for many years, but now it has taken the business world by storm. It is rapidly evolving in areas such as pattern detection, classification, and prediction. The capabilities of AI and its rapid development have introduced many applications in both the personal and professional worlds. The impact of AI on the future of work depends on many factors including advancements in computing power and the implementation of regulations. AI will continue to drive massive innovations that will fuel many existing industries. Most probably, it could have the potential to create new areas for growth, leading to the creation of more jobs. 

Robotic Process Automation 

According to Gartner, RPA software has been recognized as one of the fastest-growing software in the last 2 years, growing at the rate of 60%, while the overall enterprise software market grew at just 13%. According to another study, by 2025, more than 90% of enterprises will have an automation architect. Automation will evolve on optimizing digital processes. According to Gartner’s predictions, automation in work will evolve from discrete tasks and transactions based on static and rigid rules to automation knowledge work. With RPA technology, IT teams will need to adapt their strategies to keep up with the pace of RPA adoption across the business. 

Like Artificial Intelligence, Machine Learning, and Predictive Analytics are redefined within automation, RPA will also begin to complete more complex and sophisticated work, enhancing decision making and augmenting human capabilities across organizations. 

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