AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...