The blind spot of the data accuracy & integrity process
Can data accuracy and integrity as the vital quality standard for reliable and trustful data ever be assured to be 100 percent correct to reality ?
Are unknown undetected data errors a given but have proliferated in particular in social media apps ?
What are the implications of erroneous data to the development of AI machine learning applications ?
Remember the basic activities' model of the quality paradigm
- Prevention
- Detection
- Correction
which is good practice in any context.
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