Smart Data Collective

APRIL 2, 2023

Organizations are looking for consultants who are capable of coming up with custom in-house data science applications. Professionals who have already completed at least some training in the field, such as a data science course in Hyderabad or an apprenticeship in Silicon Valley, are poised to make a big splash in this field.

Broadcasting 95

Broadcasting Marketing Technology Predictive Analytics 95

Rocket-Powered Data Science

JULY 19, 2023

The latter is associated primarily with “watching” the data for interesting patterns, while precursor analytics is associated primarily with training the business systems to quickly identify those specific patterns and events that could be associated with high-risk events, thus requiring timely attention, intervention, and remediation.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

IBM Big Data Hub

OCTOBER 4, 2018

The IBM Data Science Elite team is working with Niagara on a model that could predict the risk of film breakage for given equipment settings.

Data Science 66

Data Science Broadcasting Risk Optimization 66

Rocket-Powered Data Science

JANUARY 21, 2024

If we cannot make these technologies available for everyone, we risk perpetuating a divide between the haves and have-nots. Promoting connectivity on a global scale There is a company that is addressing this “digital divide” and this data-intensive digital connectivity imperative on a global scale.

IT 183

IT Broadcasting Recreation/Entertainment Technology 183

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. Data Champions . OVO is available on 115M devices in Indonesia and these devices collectively generate tens of millions of data points every day. Winner: OVO.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 133

Modeling Finance Uncertainty Data mining 133