Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is ubiquitous in our modern life. Obtaining, structuring, and analyzing these data into new, relevant information is crucial in today’s world.

Contextual Data 349

Contextual Data Data-driven Data Science Publishing 349

CIO Business Intelligence

SEPTEMBER 11, 2024

Emission factor mapping and other capabilities As part of Oracle Fusion Cloud Sustainability, enterprises would get access to features such as automated transaction records, contextualized data, pre-built dashboards, emission factor mapping, and audit capabilities.

Contextual Data 116

Contextual Data Key Performance Indicator Dashboards Data-driven 116

CIO Business Intelligence

OCTOBER 13, 2023

By identifying, connecting, understanding, and processing relevant information, GenAI tools trained on contextual data can produce the intelligent and reliable recommendations that decision makers and managers need in mere seconds.

Contextual Data 139

Contextual Data Optimization Sales Publishing 139

bridgei2i

APRIL 30, 2020

BRIDGEi2i, a leading AI consultancy, has been named as a “Cool Vendor” by Gartner in the recently published Cool Vendors in CRM Sales Technologies. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise.

Sales 66

Sales Technology Diagnostic Analytics Contextual Data 66

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

Ontotext

JULY 15, 2024

It also adds flexibility in accommodating new kinds of data, including metadata about existing data points that lets users infer new relationships and other facts about the data in the graph. Schemas are an example of how the right metadata can add value to the data it describes.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

Cloudera

JULY 29, 2024

Enterprise stream management is the ability to manage an intermediary that can broker real-time data between any number of “publishing” sources and “subscribing” destinations. This capability converts large volumes of raw data into contextualized data that is ready for use in a business process.

Enterprise 69

Enterprise Data Architecture Manufacturing Key Performance Indicator 69