Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2024, 01:42pm EDT Jul 03, 2024, 03:29pm EDT MADRID, ...

Each time you ask an AI chatbot to summarize a lengthy legal document or conjure up a cartoon squirrel wearing glasses, it sends a request to a data center and strains an increasingly scarce resource: ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

The AI boom has brought renewed attention to graphics processing units, the high-powered computing chips used to power modern generative AI and other machine learning applications. And a startup ...

We research, select, prepare and deliver unique, high-quality data. Fewer than 1 in 100 datasets we analyze become products, resulting in a curated, best-in-class catalog. Over 950,000 professionals, ...