Smarten
JUNE 17, 2022
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.
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In other words, model risk can lead to tangible losses for the bank and its shareholders.
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Sisense
MARCH 24, 2020
Twelve years ago, in the throes of the 2008 economic recession, British Airways was cutting costs across the organization. For example, when a client complained that their project was behind schedule, a project manager was able to pull up their Change Item report to show the client that he’d put in 30 change requests in a 30-day period.
O'Reilly on Data
SEPTEMBER 19, 2023
” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And it was good. For a few years, even. But then we hit another hurdle.
Occam's Razor
NOVEMBER 18, 2014
Short story #2: Predictive Modeling, Quantifying Cost of Inaction. It is created using the All Traffic Sources report in Google Analytics, and clicking Source (rather than the default Source/Medium). Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Thank goodness for predictive models.
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