Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Modernize legacy BI without disruption. Refactor business logic into a governed semantic layer while keeping dashboards ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

Semantic layers break silos and establishes a single source of truth, while greatly simplifying interaction with complex data ...

AI agents are reshaping enterprise analytics, and AtScale, a leader in semantic layer solutions, is helping organizations navigate this shift from "ask-a-question BI chatbots" to autonomous agents ...

Enterprise artificial intelligence (AI) is at a tipping point. After years of soaring adoption, organizations have poured billions into AI, only to find that projects often stall and rarely deliver ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the role that semantic leakage ...

V11’s three new AI features—AI Assistant, Semantic Search, and AI Meeting Notes—build directly on Evernote’s core workflows while remaining adaptive to each user’s unique way of working and thinking.