Telecom networks are closer than ever to being able to fix their own data, and the implications are significant.

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 ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

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 ...

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 ...

Ambuj Tewari receives funding from NSF and NIH. You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to ...