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Making data matter at Mathematica

CIO Business Intelligence

Emphasizing ethics and impact Like many of the government agencies it serves, Mathematica started its cloud journey on AWS shortly after Bell arrived six years ago and built the Mquiry data collection, collaboration, management, and analytics platform on the Mathematica Cloud Support System for its myriad clients.

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

In this new era the role of humans in the development process also changes as they morph from being software programmers to becoming ‘data producers’ and ‘data curators’ – tasked with ensuring the quality of the input. Further, data management activities don’t end once the AI model has been developed.

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Why Data Will Power the Self-Driving Car Revolution

Sisense

“Because AVs collect data in public where there is little ‘reasonable expectation of privacy’, they are not subject to many of the privacy laws in the U.S. The data collected by AVs in the U.S. will likely be owned by the collector of the data, not the data subject. For insurance company premiums?

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What Is Data Intelligence?

Alation

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

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Our Favorite Questions

O'Reilly on Data

banking, insurance, etc.), The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. I found this can be a difficult question to ask.

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Five Key Elements For A Big Analytics Driven Business Impact

Occam's Razor

I was speaking with a massive national insurance company recently. Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff!

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Data Science, Past & Future

Domino Data Lab

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. ” But that changed.