death-by-data-cleansing-and-how-to-avoid-it 
CIO
APRIL 1, 2024
They fear that GenAI’s promise has outstripped its current value relative to its high cost, accuracy , and unclear productivity gains, putting them in danger of overpromising and underdelivering—a kiss of death in the tech sector. As an IT leader, you’re in a unique position to help your organization avoid such malaise.
Dataiku
DECEMBER 30, 2022
“First, we need clean and centralized data” is probably the one sentence responsible for the most failures of large-scale data initiatives (close second to “we’ll figure out how to deploy once we have models”). Indeed, conventional thinking tells us that value can be created only after siloed data is centralized and cleaned.
Altexsoft
OCTOBER 17, 2019
Data is the lifeblood of an organization and its commercial success. do so, you need to collect and analyze appropriate data, and that would take some time and effort. . Flaws in data can lead to different outcomes. Using erroneous data may lead to tragic events, especially in the medical field.
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