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 ...

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 ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

SAN FRANCISCO--(BUSINESS WIRE)--Cyber risk analytics leader CyberCube has launched the world’s first set of detailed Exposure Databases to enable (re)insurers and brokers to perform a wide array of ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

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

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Patrick Walsh is the cofounder and CEO of IronCore Labs, the data security encryption platform for software companies and AI. The proliferation of generally intelligent AI models is turning machine ...