
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.
Learn how organizations use automated machine learning with robotic process automation software.
Robotic 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

AI Use Cases Across RPA
Robotic process automation companies are able to gather data needed to run predictive models in DataRobot.
DataRobot in the News
Explore the Most Popular Resources
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On-Demand WebinarCombatting the $2tr AML Compliance Problem with Intelligent AutomationJoin us live as we discuss how the combination of AI and RPA has helped financial services companies to successfully implement intelligent automation and enhance risk management. Learn how they have improved operational efficiencies of KYC/AML compliance processes by reducing the number of false positive alerts by 60%, while automating 40% of the business process.Watch the Webinar
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White PaperIntelligent Process Automation: Boosting Bots with AI and Machine LearningIn our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA.Read More
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Q&AI WebinarUsing Robotic Process Automation + AI to Impact Business – An American Fidelity Case StudyWatch this webinar to learn how American Fidelity utilized UiPath and DataRobot to implement intelligent process automation across their organization. See how they leveraged both Automated Machine Learning and RPA capabilities to significantly impact the enterprise.Watch the Webinar
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On-Demand WebinarAutomation Anywhere and DataRobot Partner on AI Solutions for Digital TransformationJoin Automation Anywhere and DataRobot to learn how RPA combined with automated Machine Learning (ML) will give enterprises the tools to fully democratize automation of complex business processes involving intelligent decision making.Watch the Webinar
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BlogWhat is Robotic Process Automation & Why do you want Automated Machine Learning in the mix?Read More
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Press ReleaseDataRobot and UiPath Partner to Accelerate the Path to AIRead the press
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Press ReleaseAutomation Anywhere and DataRobot Partner on AI Solutions for Digital TransformationRead the press
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EbookThe Convergence of RPA and Automated Machine LearningBy combining Robotic Process Automation (RPA) with artificial intelligence, organizations can expand both the range of processes available for automation and the business problems that can be solved with it.Read More