General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Abstract: A recently developed application of computer vision is pathfinding in self-driving cars. Semantic scene understanding and semantic segmentation, as subfields of computer vision, are widely ...

AI will not replace dashboards; instead, analytics is evolving into a hybrid model combining dashboards, semantic layers, and conversational AI.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Unit4's Claus Jepsen on why semantic layers, deterministic guardrails, and vertical depth are what it takes to move from a ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

Observability OR monitoring, open community work OR enterprise readiness, lexical OR semantic search- Bianca Lewis erases ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...