Contextual Data Related Topics 
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. The post ETL vs ELT in 2022: Do they matter?
TDAN
MAY 4, 2021
The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights.
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Smart Data Collective
OCTOBER 22, 2024
RAG is a great new breakthrough in AI that is changing the future of contextual data management.
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.
O'Reilly on Data
OCTOBER 19, 2021
Even worse, sophisticated ML applications can take a huge number of contextual data points as inputs, like the time of day, user’s past behavior, or device type into account, so an accurate test set up may need to become a full-fledged simulator.
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.
erwin
AUGUST 6, 2020
It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.
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