Smart Data Collective

NOVEMBER 11, 2020

Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans. You can keep reading to learn more about the history of these changes. We recently talked about some of the changes that data has created in the game of golf.

Big Data 81

Big Data Scorecard Statistics Cost-Benefit 81

CIO Business Intelligence

MARCH 9, 2022

Based in Abu Dhabi and in operation since 2003, in recent years Etihad has used a data lake and a unified set of AI-driven analytics tools to optimise staffing, the handling of passengers, and responses to customer inquiries. Using NLP to optimize customer response times. Unifying analytics on a data science platform.

Data Science 86

Data Science Data Lake Cost-Benefit Digital Transformation 86

erwin

JUNE 7, 2022

Machine Learning. I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Don’t obstruct the optimizer from seeing it’s a star schema. Figure 9: An example of a Snowflake that complicates the optimizer from seeing it’s a star schema.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Andrew White

APRIL 22, 2020

They will need to learn how to make such decisions in this landscape: from survival toward healing; the slow and gradual re-starting of economic and social activities; planning is now possible; new platforms will emerge to a) monitor for relapses toward crisis, and b) preservation of resilience capabilities. This is not an option.

Software 52

Software Uncertainty Measurement Marketing 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. For more on ad CTR estimation, refer to [2].

KDD 40

KDD Testing Machine Learning Modeling 40