CIO Business Intelligence

OCTOBER 26, 2023

While there is little doubt that companies have been cutting back on expenses generally in response to economic uncertainty, startups in particular have been feeling the pain of contracting budgets and reluctant investors. At this point in time, it needs to be asked whether such a rapid increase in the number of vendors is sustainable.

IT 109

IT Cost-Benefit Data-driven Manufacturing 109

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! In 2012, the global mean temperature was measured at 58.2

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Because of compliance. Admittedly less Descartes, more Wednesday Addams.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

The Unofficial Google Data Science Blog

AUGUST 27, 2019

The bucketing method also changes the importance sampling to a stratified sampling setting, and allows us to use binomial confidence intervals to estimate the uncertainty of our estimate (more on that later). High Risk 10% 5% 33.3% 5] Ray Chambers, Robert Clark (2012). Miss-coverage rate with 95% confidence bands. 7] Neyman, J.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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

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. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109