Over time, data debt slows decision-making, weakens innovation and increases operational risk, often before leaders realize ...

The first time synthetic data was used to mimic real-world data was in 1993 by Donald Rubin. He created data that was statistically like genuine data, but without the risk of privacy compromise. With ...

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 ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

Economists on Thursday warned that a big drop in November inflation had more to do with data challenges caused by the government shutdown than with actual changes in the economy. Unfortunately, those ...

When I first became involved with Hyperscale Data in 2016, the Company was very much a work in progress. We faced setbacks, made course corrections, and worked through challenging times. But we stayed ...

We've all heard the explanations for why AI projects fail: the models aren't advanced enough, they don't remember past interactions, they hallucinate answers — the list goes on. However, those ...