Introduction to AI Storytelling – Build trust throughout the AI project life-cycle

White paper/ebook
DataRobot Introduction to AI Storytelling Build trust throughout the AI project Resource card v2.0

In today’s era of AI and machine-assisted analytics, accurately interpreting and effectively communicating findings is becoming a crucial skill to bridge the growing data literacy gap. To get the most value from AI projects to drive better outcomes, you need to help decision stakeholders understand the process and make sense of results.

Machine learning use cases, metrics, and charts can be difficult to comprehend and explain. Describing the AI problem to solve, machine learning models, and the relationships among variables are often subtle, surprising and complex. Successful analytical communicators don’t wait until the end of an AI project. Instead, they use the entire process to educate stakeholders.

This eBook will introduce you to the art of AI storytelling.

DataRobot Introduction to AI Storytelling Build trust throughout the AI project Resource card v2.0
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    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

    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

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • 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.
    Evariant