Essentials Report

Research Overview: Machine Learning For Information Platforms

September 8th, 2020
With contributors:
Boris Evelson , Srividya Sridharan , Gene Leganza , Chandler Hennig , Peggy Dostie


It’s not just data that’s growing — so are the ecosystem landscape and use cases, which are also increasing in sophistication. Manual administration, management, and engineering of data create bottlenecks for time-to-value. Machine learning (ML) is becoming available at every tier of the information platform. This report helps enterprise architects and CIOs recognize instances of machine learning and shows them how to augment data services to keep pace with, and adapt to, business demands.

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