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On-Demand Webinar

How to Transform Your Business with Automated Machine Learning

The International Data Corporation (IDC) estimates that by 2021, enterprise spending on artificial intelligence (AI) and machine learning will more than triple that of 2017. However, companies looking to use AI encounter challenges such as a lack of clear implementation best practices along with fierce competition for data science resources.

Enter: automated machine learning technologies that make it possible for companies to easily get up and running with AI. Organizations that adopt automated machine learning greatly increase productivity while democratizing data science initiatives. In this webinar, attendees will hear how automated machine learning helps organizations across industries and geographies become AI-driven enterprises

In the 1-hour webinar, you’ll learn:

  • The difference between AI, machine learning, and deep learning
  • The challenges of implementing traditional data science solutions and how automated machine learning addresses them
  • How automated machine learning enables more employees to take part in AI initiatives and makes existing data science teams more productive
  • Common automated machine learning use cases
  • A demo of the DataRobot platform

Speakers

Jonathan Dahlberg
Jonathan Dahlberg

Customer Facing 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
    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