[e-Book] Intelligent Process Automation

Robotic Process Automation (RPA) is a technology gaining grounds in enterprises with a demonstrable business value. RPA helps businesses automate repetitive business processes to bring down TAT to minutes from hours and even days.

But what if you could train the software to self-learn and make intelligent decisions to cut human dependency as much as possible? Add Artificial Intelligence (AI) capability to turn automation into Intelligent Process Automation (IPA).

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By now we all know of RPA, but what is IPA (Intelligent Process Automation)?

Blue robot

We’ve all heard of Robotic Process Automation (RPA). RPA is the emerging form of business process automation technology based on metaphorical software robots (bots) or artificial intelligence (AI) workers. When an organization undertakes Digital Transformation, RPA is typically the lowest hanging fruit driving most immediate impact. But, what is Intelligent Process Automation (IPA)?

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Machine Learning & RPA for Bonding with Intelligent Automation

Robot mathematics

In Intelligent Automation, One of the smartest technology evolutions in the recent past has been the concept of Robotic Process Automation, popularly referred to by its acronym RPA. The age-old technique of screen scraping or User Interface (UI)-based test automation approach is very effectively extended in RPA to automate business processes that are carried out by human users using computers, resulting in an industry segment of its own.

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Maximizing ROI for ML, Decision Management, and RPA

ROI Model

Early in developing a machine learning project, it is tempting to focus primarily on building the model. Faith is placed in the notion that if the model is accurate, the other details will fall into place. This neglects the most crucial fact of all — the model is created to be used in the real world. The return on your AI investment can only be achieved when people use your model.

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How AI is redefining RPA

Gartner has identified Robotic Process Automation to be the fastest-growing segment of the global enterprise software market, predicting RPA software revenue to reach $1.89 billion in 2021. It is also one of the few technologies to gain significant traction during the pandemic and rapidly continues to expand in 2021. A key contributor to its rapid growth could be its convergence with another powerful technology: Artificial Intelligence (AI).

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Top 5 philosophical issues of Artificial Intelligence (AI)

Artificial Intelligence (AI) is currently a very active scientific field. It was born in the 1950s and is still alive today. In the course of the development of artificial intelligence, different research routes have stimulated competition, and new problems and new ideas have continued to emerge.

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