Remove 2011 Remove Interactive Remove Statistics Remove Visualization
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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. Additionally, it continuously explores reams of data and modern tools to improve its capabilities and adapt to the changing data landscape.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. Furthermore, through its interactive interface, the modeler is able to do multiple what-if analyses to see the impact of changing the prediction threshold on the corresponding model precision and recall.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

For content, the foundational material needs hands-on examples which reinforce statistical thinking , how to build reproducible workflows , understanding how to use confidence intervals , how to visualize data , no free lunch theorem, creating a confusion matrix , and so on. Data visualization for prediction accuracy ( credit: R2D3 ).

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Understanding the different types and kinds of Artificial Intelligence

IBM Big Data Hub

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. For example, Apple made Siri a feature of its iOS in 2011. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligence output.

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Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

I wanted to come up with a way to visualize the unique challenge Facebook faces when it comes to proving ROI. But that is not all there is to it. – as it shows actual real human interactions (unlike, "trust us you reached a lot of people") as people actually clicked somewhere on your post (awesome metric). It is cute.

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A blazingly fast database in a data-driven world

IBM Big Data Hub

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Interpreting mathematical information.

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