Remove 2008 Remove Big Data Remove Reporting Remove Statistics
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Statistics for Google Sheets

The Unofficial Google Data Science Blog

SCOTT Big data is new and exciting, but there are still lots of small data problems in the world. Many people who are just becoming aware that they need to work with data are finding that they lack the tools to do so. The statistics app for Google Sheets hopes to change that. By STEVEN L.

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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly. Fortunately, the first robo-advisors were created in 2008. The flip side is that a system relying solely on AI data doesn’t make emotionally charged decisions.

Finance 138
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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries.

Risk 111
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These Are Data’s Dark Ages, and That Needs to Change

Alation

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. And here’s the catch: in spite of our recent data-driven achievements, the evidence suggests that humans may well be in the dark ages of data.

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. AI, Machine Learning, and Data.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

2008 – Financial crisis : scientists flee Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! following a breakthrough paper or two, plus changes in market microstructure).

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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Here we come back to the upward trend in searches for Data Science. Source: Google Trends. And reduced costs aren’t guaranteed […]. Gentlemen (and Ladies) Place your Bets.