Data Collection, Knowledge Discovery and Metadata

Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. This is accomplished through tags, annotations, and metadata (TAM). Data catalogs are very useful and important.

Strategy

Strategy Machine Learning Metadata Knowledge Discovery

On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data.

Knowledge Discovery

Knowledge Discovery Experimentation Data-driven Metadata

Data Leaders Brief

Are You Content with Your Organization’s Content Strategy?

On the Hunt for Patterns: from Hippocrates to Supercomputers

Webinars

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