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, ...
Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to ...
When a data platform breaks, the clock starts ticking. Engineers rush to diagnose the problem, pull logs, investigate errors and take corrective measures. Every minute of downtime adds cost, risk and ...
“This looks like a rock concert, but for data people,” said Conviction CEO Sarah Guo at the opening keynote of Snowflake Summit 2025, hosted in San Francisco. A crowd of 20,000 erupted in cheers as ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...
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