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Artificial Intelligence makes it feasible for machines to comprehend or learn from experience, adjust to different inputs and conduct human-like work. The most recent example of AI is the self-driving cars which entirely rely on profound learning and natural language processing. Some movies and science fiction novels have displayed AI as human-like robots that expropriate or rule over the world, but the recent advancement of AI technologies is not that terrifying- or relatively smart. Rather AI has developed to give multiple distinct advantages in every industry. Some reasons that clarify the significance of AI AI automates redundant learning and findings through data.  Rather than automating manual work, AI conducts continuous, computerized, and high-volume tasks. It makes the process reliable and without fatigue. AI puts intelligence into prevailing products. Mechanization, informal platforms, automation, and smart devices can be integrated with huge amounts of data to modify many

Convergence of Robotic Process Automation (RPA) with new age technologies such as Cloud has unlocked many innovative possibilities. Enterprises have to continue the use of legacy systems due to different strategic reasons ranging from those being vendor/client preferred or inherited from mergers & acquisitions or simply because the cost of migration is beyond budget. Here RPA brings all legacy systems on the same plane as ERPs and acts as the greatest leveler with RPA-on-Cloud simply taking this technology to the next level.  Though Cloud is looked at with some skepticism, the risks can be easily mitigated by using forward-looking technologies available today. Let us see how this hybrid framework is relevant in a dynamically changing business ecosystem. The Critical Path: A few might know that RPA on Cloud is the "Critical Path" to quick deployment, fast roll-out, and a quick return on investment.  Furthermore, it extends RPA usability by manifolds and across geographie