The blind spot of the data accuracy & integrity process

Peter Haenni

30 Jan 2023 — 1 min read

The data accuracy process from a layman perspective

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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Enterprise Action Architecture Platform for AI Transformation & Governance

American case by case vs. European code based law system

From Dataism to Human Progress Architecture