With the ongoing rapid increase in both volume and diversity of 'omic' data (genomics, transcriptomics, proteomics, and others), the development and adoption of data standards is of paramount ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...

The paper attempts to model internal controls in an organization from a database perspective. It provides a three-level architecture to integrate data, process, and control level abstractions. A ...

Proceedings: Mathematical, Physical and Engineering Sciences, Vol. 476, No. 2243 (November 2020), pp. 1-26 (26 pages) Semantic edge detection has recently gained a lot of attention as an ...

“A strong request from customers has been to make semantic models interoperable,” said Josh Klahr, director of analytics product management at Snowflake. “They want to make it easy for a model in one ...

AtScale, a leader in data analytics acceleration, has announced the open-source release of its Semantic Modeling Language (SML). This move aims to enhance semantic model portability and foster a ...

Martech is drowning in silos and inconsistent data. OSI could solve the chaos with one open standard, giving teams clarity ...

Element Analytics Inc., maker of a semantic data platform for use in industrial settings, today announced the availability of its Unify data management platform on Microsoft Corp.’s Azure Digital ...