By 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.
Using business logic and structured inputs to automate business processes, RPA software can mimic the routine tasks of human workers and free up their time to focus on more strategic goals. Combining RPA and automated machine learning, companies now have the ability to transform digital operating models.
Read the white paper, The Convergence of RPA and Automated Machine Learning to learn how:
- Positive returns on RPA investments can be realized within months of implementing a typical RPA project.
- RPA can free staff to focus on high-level activities to create value.
- RPA plus AI is highly valuable to many industry sectors, including loan approvals, call center routing and staffing, and human resources.
DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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