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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

Smarten

It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

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How Data Lineage Improves Data Compliance

Octopai

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. The banking system’s inability to deal with the Great Recession of 2008-2009 led to the passage of regulations designed to make banks more responsible in preparing for financial risk.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

These scores go on student report cards, and are a frequent topic at parent-teacher conferences. Each of the classroom’s library books has a color coded sticker on its spine reflecting its Lexile score—a visual announcement of its official complexity level, and thus of which students might be officially ready to read it.

Risk 355
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AI for Human Capital Management

DataRobot Blog

The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. As a comparison, external reports have found that public sector T2H averages three times as long as the private sector, 119 days compared to 36 days. Use Case Results.

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

Jet Global

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.