DataRobot A Guide to Human Centered AI Best Practices in Organizational Change and Customer Experience Background V2.0

A Guide to Human-Centered AI: Best Practices in Organizational Change and Customer Experience

Artificial intelligence is becoming essential for organizations to deliver the individualized digital experiences and accurate service consumers have come to expect. But real AI success remains elusive as environments in which they are deployed become more complex and dynamic. The fact is, today only one in ten companies reports significant financial benefit from implementing AI.

Our ebook, A Guide to Human-Centered AI by Colin Priest, offers proven insights on effective design and implementation of ROI-driven AI systems. See how finding the right combination of people, processes, and technology are critical to realizing generative organizational change and meaningful customer experiences.

Download the ebook to learn:

  • How to align your AI system to key business objectives and quantify success
  • How to gain trust by demonstrating transparency and ethics in your AI system
  • How your AI system can empower employees and customers
  • 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.