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How to Choose an AI Vendor

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You want to invest in artificial intelligence (AI) and machine learning to take advantage of the wealth of available data at your fingertips. You know you’re going to need help. But rapid change, vendor churn, hype, and jargon make it hard to choose an AI vendor.

In this webinar, Thomas Dinsmore of DataRobot will explain why it’s so hard to choose an AI vendor and show you what to consider as you seek a partner in AI. Additionally, Pauline McKinney, Vice President of Data and Analytics at Wellen Capital, will share the details of how she successfully implemented AI technologies at Wellen to transform the way the company does business.

DataRobot How to Choose AI Vendor Webinar Resource card v1.0

In the webinar, attendees will learn:

  • The top challenges businesses face when evaluating AI vendors
  • The five key things to seek out when looking for an AI vendor
  • Tips for overcoming common barriers to gaining value from AI
  • Real-world AI implementation best practices, including vendor selection, getting company buy-in, and tracking progress


Thomas Dinsmore
Thomas Dinsmore

AI Solutions Expert, DataRobot

Pauline McKinney
Pauline McKinney

Vice President of Data and Analytics, Wellen Capital

  • 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.