The transition from experimental AI models to production systems exposes the true quality of training data. Edge cases that were absent during testing become frequent. Small inconsistencies in ...

When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.

States are reporting inconsistent, incomplete COVID-19 data, analysis finds The federal government has left state-level COVID-19 reporting and dashboards up to the states, and the lack of ...

Data cleaning is a crucial step in the data analysis process. Inaccurate, incomplete, or inconsistent data can lead to flawed insights and poor decision-making. Fortunately, Excel 365’s Power Query ...

Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...

A data strategist, Mr Azeez Akinbode has called for the use of Artificial Intelligence in addressing the incomplete patient data hospitals. Akinbode who shared his views with South-South PUNCH in ...

Data migration is a critical process for organizations moving to new systems or platforms, whether you're embarking on a system modernization like SAP S/4HANA or working through a merger, acquisition ...