It’s no surprise to anyone who works with data—it’s messy. In every industry and every business, there are data anomalies and issues that can impact the story data tells. If we have any hope of ...

Hirundo AI Ltd., a startup that’s helping artificial intelligence models “forget” bad data that causes them to hallucinate and generate bad responses, said today it has raised $8 million in seed ...

If you work with data, or data people, you’ve probably heard the saying “garbage in, garbage out.” It’s shorthand for what happens when you train models on poor-quality data. The point is this: If you ...

As marketing analytics rapidly evolves into an AI-driven field, one major challenge threatens to derail progress: bad data.

AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets. AI is a paper ...

Bad customer data – databases where customer data is inaccurate, incomplete and inconsistent – causes huge issues for financial institutions. Accurate customer data informs effective customer ...

So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference? Can it do the same for other verticals? Every vertical has its own unique ...

Poor-quality product data routinely has severe implications for retailers. If left unresolved, bad data hinders the effectiveness of business operations, product search and discovery, customer ...