To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

Despite Meta's massive $14.3 billion investment in ScaleAI for crucial AI infrastructure, its TBD Labs are reportedly facing ...

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...

The release of key statistics used to weigh up the performance of the UK's economy has been delayed for two weeks over ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

Bengaluru-based Contineu uses AI and 360-degree site scans to make quality checks faster, smarter, and more reliable across ...

Amid the rapid proliferation of artificial intelligence across industries, medtech companies face a critical choice.

Trust remains the defining challenge of the AI era—and the clearest path to advantage. Organizations that get it right will ...

Companies like Bausch + Lomb and Prose are using AI in manufacturing to better predict machinery issues and increase ...

The connection between education research, policy, and practice is broken. Here’s what it would take to fix it.

Big-data observability startup Monte Carlo Data Inc. is lending its expertise to artificial intelligence with the launch of a ...

The Department of Education’s proposed changes pose major methodological challenges exacerbated by an ambitious timeline, ...