Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project.

Informatics 63

Informatics Consulting Cost-Benefit Data Architecture 63

IBM Big Data Hub

MARCH 7, 2023

We joined forces with a Bio-informatics research group from the University of Antwerp and started taking the first steps in developing a solution. Early results on historical data show that many severe sepsis cases can be identified multiple hours in advance.

Risk 52

Risk Technology Informatics Predictive Modeling 52

AWS Big Data

MAY 4, 2023

AWS provides the most complete set of services for the end-to-end data journey to help you unlock value from your data and turn it into insight. To learn more about the various ways to use your data on the cloud, visit the AWS Big Data Blog.

Data Processing 96

Data Processing Metadata Informatics Interactive 96

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55