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What Does 2000 Year Old Concrete Have to Do with Knowledge Graphs?

Ontotext

Institutional memory loss creates significant and measurable inefficiencies. Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data and creating predictive analytic tools. The Cost of Memory Loss.

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The data platform and digital twin AMA is among many organizations building momentum in their digitization.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool. These objectives should be broken down into measurable analytical goals, and the chosen tool should be able to meet those goals. Top 10 Big Data Tools 1.