Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...
That in turn could hasten a decline in model quality and accuracy, and an increase in hallucinations and bias. In response to ...
4dOpinion
A data governance failure can be catastrophic but preventive toolkits exist: Here’s what to do
As regulatory penalties soar, Indian organizations face a situation where a single lapse can trigger action under multiple ...
This report will examine how privacy and confidentiality can be maintained when sharing and analyzing blended data. Using case studies, the report will explore current and emerging frameworks ...
Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...
In banking, data governance is about meeting both regulatory and internal requirements. Find out what's required of your data governance plans by reading this guide ...
Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...
The Igniting Data Insights (IDI) initiative is a multi-year, phased effort to build a robust data infrastructure and deliver strategic value through integrated data. UAB has launched an initial ...
The influence of Artificial Intelligence (AI) is completely changing businesses. Today, 92% believe AI will improve their business through streamlined business operations, enhanced customer insights, ...
DIMAPUR, JANUARY 19 (MExN): The Government of Nagaland launched a month-long capacity building programme on data analytics ...
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