Semantic layers can be vital to minimising hallucinations and ensuring greater accuracy of answers in structured data sources ...

Agentic AI systems promise to enhance human productivity by automating complex tasks through intelligent reasoning.

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.

For the better part of a decade, enterprises have been racing to build bigger models and gather more data, believing scale alone would unlock artificial intelligence at full capacity. Yet despite ...

Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

Popular AI chat models secretly waste huge amounts of paid tokens on pointless verbiage. Affected models actually know they are doing this, but cannot stop themselves. Large Reasoning Models (LRMs) ...

At Celosphere 2025 in Munich, the process intelligence vendor acknowledged the AI hype cycle is deflating, but argued that ...

Most organizations will underestimate the technical demands of agent collaboration. True agentic systems require API-first ...

The newly announced C360 Semantic Model includes ready-to-use metrics ... allows interoperability between semantic layers across platforms. “Many organisations have a heterogeneous data landscape,” ...