Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When Snowflake announced its $250 million acquisition of Crunchy Data two weeks ago at its ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on their end-to-end data modeling workflows. SAN FRANCISCO--(BUSINESS WIRE)--SqlDBM, a leading ...

This article was written by Bloomberg Intelligence senior industry analyst Mandeep Singh and associate analyst Robert Biggar. It appeared first on the Bloomberg Terminal. AI’s shift to inference at ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues through better data architecture design.