AtScale's approach to agentic analytics centers on a fundamental insight: semantic layers provide the critical foundation that transforms AI agents from experimental tools into enterprise-ready ...

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

Salesforce introduces new innovations to scale reliable agentic AI across workflows, ensuring accuracy, security, and trust.

The scarce resource in the SDLC is no longer engineering hours developing features, but rather the trust that a particular ...

Snowflake and Salesforce has launched an Open Semantic Interchange initiative to standardize the AI data semantics with ...

Abstract: Graph Neural Networks (GNNs), which obtain node embeddings by attribute propagates along graph topology, exhibit significant power in graph-structured data mining. However, graphs in the ...

Abstract: This paper introduces Semantic Interaction Network (SINet), a deep learning architecture, to reshape semantic data modeling in the Internet of Things (IoT) ecosystem. SINet employs ...

“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 ...