A growing rush to harness artificial intelligence (AI) to speed up and scale efforts and find solutions to common challenges underscores the need to closely examine the technology’s impact on the ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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, ...
Miguel Acevedo typically gets two questions about his research on malaria in lizards. “Do lizards really get malaria?” (The answer is yes.) And, “Will I get malaria from a lizard?” (Not likely.) ...
During the rise of digital transformation over the past two decades, the promise of data has loomed large. No doubt, data is essential for understanding your customers, growing your business, and ...
Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...
T-Mobile’s Danny Medico tells the LA Times Studios why the "Un-carrier" is moving past last-touch attribution to find real ...
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A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...
In 2023, OpenAI told the UK parliament that it was “impossible” to train leading AI models without using copyrighted materials. It’s a popular stance in the AI world, where OpenAI and other leading ...
To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...