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 ...

2024 saw strong interest in M&A involving companies that use or develop AI offerings. The rise of AI has brought new issues for dealmakers. In particular, 2024 also saw regulators focusing further on ...

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

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 forms the backbone of most companies nowadays. Whether it's customer information, sales data or marketing analytics, good data provides critical insights that help you plan, compete and prepare ...

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 ...