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Machine Learning in Robotic Process Automation

Infusing a 24/7 automated digital workforce with smart analytics to not only manipulate data, but use it

Integrate business
processes and usher in
digital transformation
the smart way

RPA can change the way businesses run in many sectors. It takes over manual labor and allows employees to focus on delivering value. However, strategic business automation often means going one step further. Machine learning coupled with RPA is a future-oriented solution for achieving digital transformation.

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Though the majority of companies are still in the early stages of ML maturity, it is incorrect to think there is time to delay your ML efforts. If your company is not currently ML–minded, rest assured your competitors are, and the rate of AI’s development is bound to increase exponentially. Now is the time to future-proof your organization with AI/ML.

Top ML solutions for RPA

computer-vision

Deep learning

chatbots

Understanding documents

autonomous

Image recognition

Intelligent automation

As businesses around the world focus on digital transformation, RPA is only one element of the toolset that can bring them closer to their goal. Machine learning, integrated properly with AI and robotic process automation, allows for rules-based automation with the added benefits of smart analytics and prediction. The result? A tireless digital workforce than not only takes over boring, repetitive tasks, allowing human employees to thrive, but also learns and comes up with its own solutions to arising problems.

A tailor-made solution

Depending on the task at hand, businesses choose the type of automation with the best ratio of added value to cost of implementation. ML requires a larger investment than RPA, due to training data, a more robust infrastructure, and development work provided by highly skilled experts. The ROI can be well worth it, however, thanks to deeper insights, better automated decision-making, and the ability to analyze both structured and unstructured information.

A symbiotic relationship

Thanks to machine learning, RPA can go beyond processing (gathering, sorting, calculating and reporting) data to begin using it. Automated processes would operate based on the continuous analysis of incoming information, and learn to act smarter over time. This is especially beneficial for businesses dealing with large volumes of unstructured data. ML is capable of gathering insights and improving them over time, while RPA executes them, working in tandem for best results.

A non-profit organization collecting royalties for musicians improved their accuracy by 100% in 20% of cases

0%

Error rate in 59% of content

90%

Accuracy for 75% of content

4 in 5

Cases fully automated

74%

Cases with major costs & time savings

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What can we automate for you?

AnyRobot provides you with the quickest time-to-enjoyment on the market. Schedule a demo with our team to learn what processes in your company can be delegated to robots.

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