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On-Demand Webinar

Ten Keys to AI Success in 2021

The potential business benefits of AI are immense. As PWC predicts “AI could contribute up to $15.7 trillion to the global economy in 2030”, but it would be a mistake to think that adopting AI is without its challenges.

Join our webinar, Top 10 Keys to AI Success in 2021. Find out how business leaders across industries saved time and improved accuracy by using AI, resulting in reduced costs and increased overall ROI.

In this webinar, you will learn how to:

  • Optimize and automate AI to deliver ROI for your business
  • Implement an MLOps strategy and infrastructure that operationalizes, monitors, and governs your entire machine learning lifecycle
  • Get more accurate results 10x faster by automating the key stages of production machine learning
  • Democratize AI with education programs that create citizen data scientists
  • Identify common pitfalls and mistakes made when deploying AI into production

Speakers

Ari Kaplan
Ari Kaplan

AI Evangelist, DataRobot

Ben Taylor
Ben Taylor

Chief AI Evangelist, 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
    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