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On-Demand Webinar

Intelligent Process Automation: Revolutionizing Your Bots and Business with AI

What if your organization could leverage AI and machine learning to:

  • Automate 50 to 70 percent of mundane tasks without sacrificing intelligent decision making
  • Improve run-rate costs by 20 to 35 percent
  • Realize ROI that is often in triple-digit percentages?

Chances are, you want to learn more. These figures, from McKinsey & Company*, represent the returns that teams are actually realizing by using Intelligent Process Automation (IPA). And they can become your reality, too.

Join us to learn how IPA can deliver results for your organization by coupling AI, specifically machine learning, with Robotic Process Automation (RPA).

You’ll also learn:

  • What RPA is
  • What AI is
  • What IPA is
  • Steps your organization can take to realize the value of IPA
  • Common IPA use cases

And since seeing is often believing, we will be sure to showcase a demo of IPA in action.

*Intelligent process automation: The engine at the core of the next-generation operating model


  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • 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.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • 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.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • 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.