CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Paul Blogs on BI

MARCH 25, 2020

We are really missing data and so the metrics are incomplete and, as such, we should ask ourselves the question: “Are we measuring the right things?”. Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. Stay healthy.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

CIO Business Intelligence

JUNE 22, 2022

Around 2016, we started talking about data in motion within the context of an enterprise data platform. Just as important is the dimension of data accuracy or other measures of performance. Data in motion is one of three broad labels used to describe data as part of a unified data life cycle.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

Around 2016, we started talking about data in motion within the context of an enterprise data platform. Just as important is the dimension of data accuracy or other measures of performance. Data in motion is one of three broad labels used to describe data as part of a unified data life cycle.

IoT 99

IoT IT Manufacturing Internet of Things 99

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 1, 2021

Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. Because this separate model is essentially a white-box, it can be used for extraction of rules that explain the decisions behind the ANN. 2016) for an example of this technique (LIME).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139