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RPA and Machine Learning

Infuse your RPA with Machine Learning to achieve the highest level of automation


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How do RPA and ML work together?

 

The Robotic Process Automation operating rule is based on performing a specific set of predefined tasks programmed by a human employee. It serves many purposes, and one of them is relieving your manpower from highly repetitive and mundane activities. However, although RPA bots perform repetitive tasks extremely efficiently, they are not able to learn and handle exceptions. 
 
As RPA software bots lack cognitive skills, they are not capable of self-adapting to a new environment when suddenly faced with different circumstances. This is where Machine Learning is contributing to augment the efficient workflow. While ML is responsible for thinking and decision making, RPA executes the tasks
– they work as partners.

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What differentiates RPA and Machine Learning?

RPA automates high-volume repetitive tasks within key business processes to increase efficiency and let your human workforce focus on more value-adding activities. Software bots execute processes which are pre-defined by narrowly defined rules and are highly-efficient at performing basic human duties. As it’s not able to make intelligent choices, a self-standing RPA technology has its limits, which become apparent as soon as it encounters a new process or ambiguous environment to deal with.

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Machine Learning

Machine Learning, on the other hand, is capable of analysing, comparing and structuring data, which is crucial at points when RPA falls short. Over time, as ML is all about continuous learning and making intelligent choices among a spectrum of possible options, it provides your business processes with smart data-driven decisions, fuelling RPA with intelligence. As such, Machine Learning contributes to deductive analysis and makes for a good starting point for intelligent automation. 

RPA and ML: Two different technologies, supporting each other

RPA

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automates role-based tasks to increase efficiency

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relieves humans from voluminous, repetitive tasks

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is highly efficient at performing basic human duties

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deals only with structured data, following a specific step-by-step workflow

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needs a human employee to predetermine its operating rules

ML

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supports the Robotic Process Automation in the making of data-driven choices

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mimics human behaviour, not only actions

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highly skilled to analyze data and continuously learn from it

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becomes more intelligent over time

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able to process, compare and structure data

Reasons to combine RPA and ML

Incorporate Machine Learning into your Robotic Process Automation in order to strategically automate your business processes in a smart and future-oriented manner.

RPA reduces back office effort

Enhanced operational efficiency of your business processes

RPA eliminates human error

Data-driven decisions become the cornerstone of your automation solutions

RPA improves customer experience

Skyrocketed ROI from automation within your key processes

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RPA reduces costs quickly

Maximized productivity of your human employees, who are completely relieved from repetitive, time-consuming tasks

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ML serves as a bridge between RPA and Artificial Intelligence, which constitutes complete Intelligent Automation

Support your Digital Transformation
with RPA and ML

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