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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

To a certain extent, prices are partially based on the general public’s interactions and perception of the value of an asset. Fortunately, the first robo-advisors were created in 2008. By analyzing, identifying, and predicting these trends, analysts are able to help their clients minimize risk while enjoying large returns.

Finance 138
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It’s True: Educate a Woman, Educate a Nation

Sisense

In fact, according to the UNESCO Institute for Statistics , “16 million girls will never set foot in a classroom – and women account for two-thirds of the 750 million adults without basic literacy skills.”. Download the full report See the interactive dashboard. Making Women and Girls a Priority.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. To that end, SR 11-7 recommends that financial institutions consider risk from individual models as well as aggregate risks that stem from model interactions and dependencies.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on.

Risk 355
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Data Observability and Monitoring with DataOps

DataKitchen

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. We liken this methodology to the statistical process controls advocated by management guru Dr. Edward Deming. Statistical Process Control. Focus on the process.

Testing 214
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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Tukey did this paper. It’s a great read. It is 50, almost 60 years ago, but he was talking about something that was interdisciplinary.