CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. I joined Baxter as CIO in 2011, and in 2016 I was presented with the opportunity to join my first public company board.

Digital Transformation 98

Digital Transformation Uncertainty Machine Learning Strategy 98

Cloudera

OCTOBER 3, 2018

Since 2011, our two companies have each innovated to build better products and win more business. Three years later, the core team of developers working inside Yahoo on Hadoop spun out to found Hortonworks. They, too, saw the enormous potential for data at scale in the enterprise. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Mark Raskino

AUGUST 30, 2017

The President of Iceland Olafur Ragnar Grimsson explained this phenomenon to me when I had the privilege to interview him in 2011 (Gartner Report: G00212784 ). “So He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea.

Testing 53

Testing Experimentation Uncertainty Risk 53

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). Unless a reported figure, or output of a model, leads to action being taken, it is essentially useless.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012. Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

MAY 31, 2016

Further, there is the risk that the increased ad spend will be less productive due to diminishing returns (e.g., Caution is needed, however, to use the weights: when the pre-test period volume of a geo are close to zero, the weights may be large (this usually reflects an issue with data reporting).

Advertising 42

Advertising Testing Sales Statistics 42