Security has a data problem. That’s according to Kfir Tishbi, who led the engineering team at Datorama, a marketing analytics company that was acquired by Salesforce in 2018. Tishbi — who spent time ...

High-quality data may be the key to high-quality AI. With studies finding that dataset curation, rather than size, is what really affects an AI model’s performance, it’s unsurprising that there’s a ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

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, ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling has long been a critical component of helping data ...

Organizing data labeling for machine learning is not a one sitting job, yet a single error by a data labeler may cost you a fortune. Now, you probably wonder how do I ...

Cleanlab founders Curtis Northcutt, Anish Athalye and Jonas Mueller are hoping to solve the data problem of "garbage in, garbage out." The startup based on a popular open-source project for fixing ...