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 ...
As a former teacher, I’ve seen firsthand that a student is only as good as the curriculum they are given. The same is true for AI. We often talk about AI models as if they're magical tools, but ...
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 ...
A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax. For two decades, enterprise transformation has followed a familiar sequence: ...
Snowflake Inc. and a group of partners today launched the Open Semantic Interchange initiative, an open-source effort to standardize how organizations define and share business semantics across data ...
The financial sector generates a lot of valuable data, from individual purchases to large transactions. Given the enormous treasure that all this information holds, expectations of the impact of ...
During the chip shortage, Tesla thrived while Ford waited. The difference? Semantic intelligence that transformed data into ...
With Semantic View Autopilot, organizations including eSentire, HiBob, Simon AI, and VTS can ensure that AI agents operate on ...
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