article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

article thumbnail

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. You pay only the associated Forecast costs.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

CIO Ralph Loura on empathetic leadership that delivers results

CIO Business Intelligence

Among other accolades, he was named Consumer Goods Technology’s 2013 CIO of the Year and was the 2021 recipient of the Bay Area CIO of the Year ORBIE award for Leadership. How do you lead with compassion and kindness while holding people accountable, managing uncertainty, and delivering results?

article thumbnail

Powering a low-carbon digital Thailand

CIO Business Intelligence

Carbon Neutrality 2050, and the Bio-Circular-Green Economic Model. In addition, since Huawei’s global flagship CSR project Seeds for the Future first started in Thailand in 2013, Huawei Thailand has already partnered with 23 local universities to facilitate knowledge transfer and skill improvement for over 215 leading students.

article thumbnail

Responses to Negative Data: Four Senior Leadership Archetypes.

Occam's Razor

Their most common reaction to negative data, if it makes it through, is to try to discredit it by asking analytically-nonsensical questions: What are the p-values of your multi-channel attribution model applied to performance of my strategy? They bring up that one time in 2013 when your analysis missed an important assumption.