Alongside core pandemic data from Johns Hopkins CSSE and the New York Times, AtScale's model now includes employment data from the US Bureau of Labor Statistics, mobility data from Google ...

Between the data repository and the data-consuming endpoints like AI, businesses need to enrich their data with context and meaning, which can be done by using a universal semantic layer that sits ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like ...

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 Tw ...

"The Semantic Kernel team is dedicated to empowering developers by providing access to the latest advancements in the industry," Microsoft said in a post last week. "We have integrated the new AWS ...

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...