Source: dzone.com
Challenges of Data Quality in the AI EcosystemCategory: Software, Business, Database, Security, Data, Infrastructure, artificial-intelligence
Affordable high computer hardware aired with cloud-based infrastructure is making it possible to use AI solutions for real-world problems.
It is possible for these data sets to be screened and to improve the data quality but even then, the bias cannot be completely eliminated.
The only way to overcome this challenge is to understand the data and algorithms used for each scenario in terms of the desired results.
A study at Dataversity shows that while 76% of businesses want to leverage data and extract value, only around 15% have access to the type of data required to achieve this.
It is possible for these data sets to be screened and to improve the data quality but even then, the bias cannot be completely eliminated.
The only way to overcome this challenge is to understand the data and algorithms used for each scenario in terms of the desired results.
A study at Dataversity shows that while 76% of businesses want to leverage data and extract value, only around 15% have access to the type of data required to achieve this.
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