When RPA is Not Enough: A Layered Approach to Deep Learning

When RPA is Not Enough:  A Layered Approach to Deep Learning

As enterprises have adapted to the idea of robots in the workplace, there has been a simultaneous recognition of their actual limitation. What emerges is that automation solutions that embed an element of augmented or artificial intelligence are, in fact, the bridge to greater value.


Deep Learning (also known as Deep Neural Network) is a highly lucrative aspect of Intelligent Automation (IA) driven by Artificial Intelligence (AI) that exponentially delivers on the basis of different data scenarios and distinguishes itself by its “self-learning” capability. Deep Learning presents an opportunity for data scientists and the ecosystem to deliver significantly more value-add.

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