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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Demographics. This includes: Age. Safety Features.

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Big Data Joins The Fight Against Traumatic Brain Injuries

Smart Data Collective

But IBM isn’t the only one working with big data to better understand head injuries and use data to help with head injuries and how they’re treated. The American College of Radiology (ACR) launched what is known as the Head Injury Institute (HII) in 2013. Big data may also be able to help researchers better understand TBIs.

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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

In 2013, Robert Galbraith?—?an In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? an aspiring author?—?finished

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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. Just skip the we can give you data and benchmarks on performance bits.

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Responses to Negative Data: Four Senior Leadership Archetypes.

Occam's Razor

Sadly still, negative data to the person/team receiving it. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. They attack the data. Why be hurtin’? It is a lot of stuff! They attack your intent.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Chapin shared that even though GE had embraced agile practices since 2013, the company still struggled with massive amounts of legacy systems. GE formed its Digital League to create a data culture. So we really prioritized the data that we thought had the biggest chance of delivering success in the end.

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