DataRobot Democratising AI Resource card BG v.1.0

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate AI projects, businesses can build, deploy, and manage AI applications at a far greater scale. This sophisticated automation allows organizations to completely transform their business through AI democratization, which puts it into the hands of non-data scientists.

But democratizing AI within your organization requires more than just software. It may require changing your operational models and finding the right guidance to realize the full potential and ROI of AI.

Download this white paper now to learn:

  • Why AI democratization is the only scalable way to propagate AI throughout large organizations
  • How an AI-driven organization should look like, top to bottom
  • Which strategic questions business leaders need to answer to put their organization on the path to being AI-driven
  • How existing data science teams can benefit from automation
  • How to identify priority use case for AI projects
  • 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.
    Evariant