Embedding models for semantic search transform data into more efficient formats for symbolic and statistical computer processing. A type of neural network, an embedding model takes advantage of ...

A consortium of prominent data management and analytics vendors, including Snowflake and Salesforce, on Tuesday unveiled plans to develop an open source standard for semantic data modeling. While ...

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 ...

Over the years, we’ve seen both centralized and decentralized organizational models for delivering analytics to the business. While both models have their advantages, each has some severe drawbacks ...

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 ...

BOSTON--(BUSINESS WIRE)--AtScale, a semantic layer technology pioneer, announced the open-source release of the Semantic Modeling Language (SML), a universal standard designed to promote ...

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition during ...

Alation announced that its Data Products Marketplace now includes Semantic Model Mastering, a new capability that lets enterprises catalog semantic models from any platform, govern them as data ...

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 GPT-4 ...