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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