CEO of Infogix and a visionary executive with over 30 years of experience in all aspects of growing innovative software companies. Two and a half years implementation of the General Data ...

The Price Of Bad Data. One of the fundamental adages of computer programming has always been the principle of “garbage in, garbage out.” In terms of AI, that translates to bad training data ...

Clean Data is a crucial need to get an outcome from Machine Learning models. Often much time to the tune of 40% is spent on understanding and cleaning data before modeling and providing an outcome.

Poor data quality costs organizations an average of $12.9 million a year. Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but ...

The report shows that 57% of survey respondents rated data quality as one of the three most challenging aspects of the data preparation process. That’s a significant increase from the 2022 State of ...

A smaller proportion of respondents, 33.6%, are involved in Choosing Data Validation API Services/API Data Quality Solutions, reflecting the technical aspect of ensuring data quality through ...

This shift has accelerated the need for high-quality B2B2C data: identity-linked insights that connect consumer behavior with professional context. At the core of this approach is the ideal person ...

Policymakers, politicians, business leaders, and investors all use economic data. So, most people agree that any data being cited should be high quality. But everyone relies on data differently ...

From verifying the quality of incoming data to improving the quality of existing data, open-source data quality solutions can benefit your organization. Image: your123/Adobe Stock Given the ...

Section 6 outlines the next steps ESMA plans to take in enhancing the monitoring of data quality and fostering the use of it in line with the objectives included in the ESMA Data Strategy 2023-2028.