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Reclaiming the stories that algorithms tell

O'Reilly on Data

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Risk 355
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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery. In addition, 73% of the 760 IRM client interactions in 2019 were business leader focused1. No longer can they rely exclusively on qualitative measures of risk.

Marketing 110
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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. The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors. Week after week, it is measured with a million rows.

Testing 214
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The Luck of The Irish: The Rise in Air Traffic & Irish Economic Growth

Sisense

Economic performance was measured by GDP, and this is where modern Irish economic history and our study intersect. Ireland is the “Celtic Tiger” — the economic miracle that began in the 1990s and the early 2000s when the country boomed out of decline, until it was tamed by recession in 2008. Explore the Interactive Dashboard.

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AI vs. BI for Business, What Do You Need?

Jet Global

Bloomberg economist Michael McDonough has tracked companies mentioning ‘artificial intelligence’ on earnings calls since 2008 and has found that while the number of mentions has ballooned, the actual applications have not 1. So what can AI actually do?

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

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Manipulating Data with dplyr

Domino Data Lab

For an interactive exploration of how state voting patterns have shifted over time, see this piece by the New York Times. Select all rows from the 2008 election. votes_2008 <- filter(presidentialElections, year == 2008). votes_2008 <- presidentialElections[presidentialElections$year == 2008, ].