Enabling the AI-Driven Enterprise

The Automation Solution for the 10 (Not So Simple) Steps to Machine Learning

DataRobot The Automation Solution for the 10 Steps to Machine Learning Resource card v.2.0

As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, everyone wants a piece. However, the machine learning process is complex and time-consuming, which discourages business analytics professionals and executives from being involved.

Enter, automated machine learning — created to automate the machine learning process. Automating the steps within machine learning is a game changer that empowers business analytics professionals and subject matter experts to uncover predictive insights and generate solutions to real-world problems without the need for programming or deep knowledge of algorithms.

You’ll Discover:

  • The 10 steps in the machine learning lifecycle, and the reason AI projects take weeks or months to complete (hint: it’s complex!)
  • How automation improves each step of the current, manual machine learning process, delivering a reproducible process that is faster and with fewer errors
  • Why automated machine learning enables data science for business analytics professionals, executives, and SMEs
  • A checklist of features to look for when choosing an automated machine learning solution for your organization

Presenter