Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

In the rush to build sky-high, we're ignoring the most critical element: the foundation.Think of data governance as the blueprint for your foundation.

Have you ever wondered how to bring fairness to the classroom using "data validation" and "data quality assurance"? We've developed an exciting toolset, built on the foundation of the Peer Review ...

AIGC is transforming agricultural decision-making by enabling automated recommendations in irrigation, fertilization, pest ...

Ability to combine 2D and 3D datasets enables Appen to support industry’s most complex machine learning training data requirements “It isn’t enough for vehicles to perform well in simulated or good ...

Artificial intelligence and machine learning have the potential to reshape the scientific landscape. Yet, as the International Women in Chromatography founders stress, these advances must be grounded ...

At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

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, ...

Industry leaders tout data centers as job creators — but what kinds of positions do they actually create? Maryland offers some examples.