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

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

For decades, traditional data warehousing has been the backbone of healthcare analytics. These systems offered a structured approach to collecting, storing, and processing vast amounts of healthcare ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

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

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 ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

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, ...