The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Google wants Gemini, its family of generative AI models, to power your app’s databases — in a sense. At its annual Cloud Next conference in Las Vegas, Google announced the public preview of Gemini in ...

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 ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

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 ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Increased use of organoids in cancer research: The Würzburg lighthouse project "Preclinical Models" is working towards this ...

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 ...

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 ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...