Intelligent automation is a smarter automation process that merges artificial intelligence and machine learning with robotic process automation to automate business process workflows and create intelligent, robotic agents that can take over some of an organization’s workflow-based tasks.

Robotic process automation bots alone can handle a number of automated business tasks. But they don’t possess the additional human-like capabilities to go beyond routine training and take on new tasks that require cognitive and sensory capabilities.

When combined with RPA, artificial intelligence and machine learning training give bots the algorithmic knowledge to comprehend and execute automated tasks at a deeper level. The training data involved in IA is typically a large set of data from various sources and in diverse formats: both structured and unstructured.

In essence, this sophisticated AI training gives RPA-powered machines the capacity for decision intelligence, or at least the context to make data-driven decisions that feel independent from regular human intervention.

But for bots to move beyond simple and routine task automations, they often require more than basic AI and ML algorithmic training. For example, a number of these bots are trained with deep learning, neural networks, and natural language processing so they can understand human language and generate unique content on a range of topics.  Read On: