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Robotic Process Automation
We’re all familiar with work that suffers from the three R’s – Routine, Repetitive, and Rules-driven actions. Robotic Process Automation (RPA) solutions aim to automate mundane back office work. By replacing full-time equivalent (FTE) hours with machine-based learning, departments like HR, financial services, and call centers can focus on more meaningful and strategic goals.
Learn how organizations use automated machine learning with robotic process automation software.
Request a DemoRobotic Process Automation (RPA) + AI
RPA lays the groundwork for enterprise AI and more intelligent applications. If a company has an RPA solution in place, it generally means that they have an automation and data-first mentality and are probably ready to invest in more complex machine learning models to solve their business problems. It also means that their data is ready to be put in a format that can be used for enterprise AI models. Once an organization has seen the levels of productivity that are possible with RPA and AI, many are eager to embrace more complex use cases and digital strategies.
Gain Efficiency and Accuracy
- Let bots handle repetitive and mundane tasks or scale human tasks
- Automatically collect, structure, and label data that is required for enterprise AI to have utility
Enhance the Rules-Based Process
- Provide intelligence to robotic processes that can evolve and improve as more data gets examined and trained
- Increase worker performance, reduce operational risks, and improve response times
End-to-End AI-Driven Process Automation
- End-to-end process orchestration, process application, and modeling
- Humans, robots, and systems working together to make smarter decisions outside of the defined rules
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AI Use Cases Across RPA
Robotic process automation companies are able to gather data needed to run predictive models in DataRobot.
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