Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. Machine learning. Computers learn to act on their own, we no longer need to write detailed instructions to complete certain tasks. Where to Use Data Science?

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. clinical) using a range of machine learning models.

Informatics 65

Informatics Consulting Cost-Benefit Data Architecture 65

AWS Big Data

FEBRUARY 21, 2023

These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. SafeGraph found itself with a less-than-optimal Spark environment with their incumbent Spark vendor. Their costs were climbing.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service.

Metadata 84

Metadata Informatics Insurance Data Processing 84