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White Paper

Drive Successful Business Outcomes From Data With AI

The shift to data-driven business optimization has arrived. The combination of massive compute power and the unprecedented rate of data generation has created an opportunity for every organization to interact with data in new ways to identify opportunities for growth, innovation, and business process optimization.

AI and machine learning are transforming the businesses that aggressively adopt these technologies, allowing them to systematically solve business problems faster and more effectively. Artificial intelligence is changing the way businesses interact with data.

In this ebook you will learn:

  • How organizations like yours are becoming true AI-driven enterprises by using automated machine learning to solve real-world business problems
  • How automated machine learning accelerates and optimizes the human element of domain expertise and business acumen
  • How cloud-based machine learning platforms let you quickly set up and utilize these powerful machine learning capabilities, removing barriers to adoption by delivering a ready-built and scalable solution for data science success
  • 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.