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Discover LudwigThe phrase "a vast store of data" is correct and usable in written English.
You can use it when referring to a large collection or repository of information, often in the context of data analysis, research, or technology.
Example: "The research team has access to a vast store of data that will help them draw meaningful conclusions from their study."
Alternatives: "a large database of information" or "an extensive collection of data."
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Neuroscience and psychology are leading to new hardware and software designs, and the internet provides a vast store of data.
Watson, as the computer is called, is just a powerful machine with a vast store of data, they say, it still can't fully understand language, recognise objects, or appreciate human subtleties.
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There are also worries about privacy: edtech companies will end up with a vast store of personal data on pupils.It seems to workMost of these fears are overdone.
"In recent years, Bloomberg has offered new ways to trade stocks, bonds and more complicated financial products, potentially taking revenue from subscribers to the ubiquitous Bloomberg desktop terminals, which contain a vast store of market data.
The $350 million (1999 revenues) company came with a vast store of audio data from reams of medical and legal transcriptions.
In the run-up to the conference, there was a lot of speculation in the ad industry that Facebook would finally use its vast store of data to serve ads beyond its own walled garden, and on the wider Web.
In addition, this vast store of data may offer broader insight into the human brain.
The problem is how to mine this vast store of data for the riches it almost certainly contains.
In the run-up to the conference, there was speculation in the ad industry that Facebook would use its vast store of data to serve ads beyond its own walled garden, and on the wider Web.
As the largest single payer for health care in the United States, CMS has used its vast store of data to track hospital readmission rates in the Medicare program (importantly finding a rapid decline in readmission rates in 2012 and 2013), and combat Medicare fraud (in its first year the system stopped, prevented, or identified an estimated $115 million in improper payments).
The combination of sophisticated algorithms, high-speed networks, and the Internet's vast stores of data is what produces Google's instantaneous and usually on target results.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com