DataRobot The Last Mile to AI ROI resource card BG v.1.0

The Last Mile to AI ROI

Webinar
Accelerating AI adoption by leveraging the emerging MLOps best practices
DataRobot The Last Mile to AI ROI resource card v.2.0

While you have hired top-notch data scientists to build models and invested in data science tools, your AI projects still may not be getting off the ground. Research shows that the share of AI models deemed “production worthy” but never put into production is anywhere between 50 and 90%. Do you see yourself on that spectrum? So, what are leaders and teams actually missing? What can they do to finally gain value out of AI?

The last mile for AI initiative success is the deployment and management of models in production that require new practices, skills, and technologies. This emerging area is called Machine Learning Operations, or MLOps, also referred to as ModelOps by leading analyst firms.

MLOps solves precisely for this challenge by bridging the gap between data and IT Ops teams, providing the capabilities that both teams need to work together to deploy, monitor, manage, and govern machine learning models in production. In this webinar, we provide insights into what MLOps is and how any organization can adopt it to finally derive value from machine learning projects.

DataRobot The Last Mile to AI ROI resource card v.2.0

During this session, you will learn:

  • How to eliminate AI-related risks by adopting MLOps best practices
  • The inherent challenges of production model deployment and how to overcome them
  • Model monitoring best practices
  • What production lifecycle management is and why it matters

Speakers

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Sivan Metzger

Managing Director, MLOps & Governance - DataRobot

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Rajiv Shah

Data Scientist, DataRobot

  • 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