Best Practice Report

How To Scale AI With Automated Machine Learning

A Guide To Unlocking Enterprise Outcomes With AutoML

March 18th, 2020
Kjell Carlsson, PhD, null
Kjell Carlsson, PhD
With contributors:
Srividya Sridharan , Mike Gualtieri , Brandon Purcell , Boris Evelson , Leslie Joseph , Jeremy Vale , Sami Kaipa , Tienan Li , Andrew Dobak , Madison Bakalar

Summary

There’s good news for enterprises that want to use machine learning (ML) and AI to unlock value from their data. Automated machine learning (AutoML) helps data scientists, and everyone else, build predictive models, derive advanced insights, and infuse AI into applications at scale. But AutoML must be used with care and caution to unlock promised business value. Read this report to understand what AutoML is and how to use it effectively to drive a host of different business outcomes and get more value from enterprise data.

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