CIO Business Intelligence

JANUARY 10, 2023

Because of economic uncertainty, about 40% of CIOs slowed hiring as 2022 wound down, and about 30% experienced hiring freezes. Cold: Poaching high performers Market uncertainties have made recruiting more difficult in surprising ways, says Dru Kirk, vice president of talent acquisition for Marqeta.

IT 131

IT Uncertainty Data Science Marketing 131

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

JULY 22, 2019

I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin. If you look into the middle bucket, they have three things that they report in common. Now, working down to the mature part of this, they report two things in common. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JULY 11, 2017

The data consist of the weekly initial claims for unemployment insurance in the US, as reported by the US Federal Reserve. This model has stationary distribution $$mu_infty sim Nleft(0, frac{sigma^2_eta}{1 - rho^2}right),$$ which means that uncertainty grows to a finite asymptote, rather than infinity, in the distant future.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

MAY 31, 2016

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). Jon Vaver and Jim Koehler, Periodic Measurement of Advertising Effectiveness Using Multiple-Test-Period Geo Experiments , 2012. Cambridge, 2007.

Advertising 42

Advertising Testing Sales Statistics 42