CIO Business Intelligence

MARCH 21, 2022

Data scientists often work with data analysts , but their roles differ considerably. Thus, the difference between the work of data analysts and that of data scientists often comes down to timescale. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data.

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

DataRobot Blog

JANUARY 17, 2023

establishing an appropriate price illiquid securities, predicting where liquidity will be located, and determining appropriate hedge ratios) as well as more generally: the existence of good historical trade data on the assets to be priced (e.g., As discussed, we massively accelerate that process of experimentation.

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

O'Reilly on Data

APRIL 19, 2021

The second-most significant barrier was the availability of quality data. The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. This makes sense, given that we don’t see heavy usage of tools for model and data versioning. form data). Bottlenecks to AI adoption.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. As a statistical model, LLM inherently is random. Experimentation is important, but be explicit when you do.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

NOVEMBER 25, 2020

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? How can users drill down, in non-technical ways, to quickly interact with data that explains what correlations seem to matter? Legacy systems do not scale with the new data needs.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57