Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...

Cyberattacks are climbing worldwide, and despite new artificial-intelligence tools on both sides of the fight, Barclays Research says “human expertise still plays a key role.” ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

As Veeam Software Group GmbH, the market leader in data resiliency, holds its annual user event VeeamON in San Diego this week, it’s on a roll, continuing to stretch its lead over the legacy vendors.

Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare ...

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eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Knowing how to train an artificial intelligence (AI) ...

Artists and writers are up in arms about generative artificial-intelligence systems—understandably so. These machine-learning models are capable of pumping out only images and text because they’ve ...