Gartner Report: Organizational Best Practices for Successful AI and ML Initiatives

DataRobot Gartner report resource cardv.1.0

Implementing AI seems straightforward. Rolling out AI use cases that deliver real business results at scale – not so much. While executive sponsorship is key to rolling out AI across the organization, it falls upon data and analytics leaders to involve stakeholders early in the planning process, understand why initiatives could be struggling to gain traction, and immediately take action to remove any barriers to adoption.

In the report, Organizational Best Practices for Successful AI and ML Initiatives, we believe, Gartner provides pragmatic advice for helping data and analytics leaders achieve better business outcomes with AI.

DataRobot Gartner report resource cardv.1.0

Read the Gartner report and get sound advice for:

  • Developing multidisciplinary collaboration across data science, analytics teams and IT
  • Building and creating trust and transparency around AI
  • Prioritizing AI that can deliver impact to your business
  • Fostering AI experimentation and iteration across teams
  • Enabling rapid machine learning operationalization and business usage

Discover how to break down organizational silos to deliver AI at scale in this Gartner report.

Gartner Organizational Best Practices for Successful AI and ML Initiatives, Farhan Choudhary, Arun Chandrasekaran, Pieter den Hamer, 17 February 2020. Gartner is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

  • 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