CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Smart Data Collective

APRIL 5, 2022

A text analytics interface that helps derive actionable insights from unstructured data sets. A data visualization interface known as SPSS Modeler. There are a number of reasons that IBM Watson Studio is a highly popular hardware accelerator among data scientists. Neptune.ai. Neptune.AI

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

CIO Business Intelligence

MARCH 29, 2022

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . You have data but don’t use it. Why does valuable data so often go unused?

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 105

Metadata Modeling Data Processing Unstructured Data 105

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Domino Data Lab

JANUARY 21, 2021

First, I load the dataset and do a quick check to see the size of the data we’re working with: Note: the full dataset, with data collection back to 1987, is significantly larger than 300,000 samples. Our customized profile, complete with key metadata and variable descriptions. I’ve turned this on. And the result?

Statistics 106

Statistics Unstructured Data Data Science Visualization 106