Tagged articles

enterprise AI agents

5 articles · Page 1 of 1

Sep 29, 2026 · Artificial Intelligence

Ontology: The Only Blueprint for Enterprise AI Agents — Forbes & China's Convergence

Forbes Technology Council article argues ontology is the sole blueprint for enterprise AI agents, citing Palantir, Databricks, Microsoft, and Glean convergence; Chinese firms across healthcare, industry, and tech independently hit the same wall, with 30+ case studies at DACon 2026 Beijing demonstrating ontology-driven implementations.

China AI implementationContext EngineeringDACon 2026

0 likes · 19 min read

Ontology: The Only Blueprint for Enterprise AI Agents — Forbes & China's Convergence

Data Bricklaying Diary

Sep 19, 2026 · Artificial Intelligence

Beyond Ontology: The Four Knowledge Types Enterprise Agents Actually Need

This article argues that enterprise AI agents require four distinct knowledge categories—world knowledge, domain semantics, task processes, and real-time situational state—each with separate governance and update cycles, rather than stuffing everything into a single ontology, and illustrates how they converge during task execution using a contract risk detection example.

Agent RuntimeDomain SemanticsKnowledge Architecture

0 likes · 18 min read

Beyond Ontology: The Four Knowledge Types Enterprise Agents Actually Need

DataFunSummit

Sep 4, 2026 · Artificial Intelligence

Ontology-Driven Knowledge Engineering: Building Trustworthy Enterprise AI Agents Beyond RAG

This article details an ontology-driven three-layer architecture for enterprise office agents, replacing standard RAG with GraphRAG to achieve verifiable, auditable AI. It covers a six-step modeling method, a six-dimensional evaluation system, a two-week MVO rollout, and three production scenarios — document review, meeting minutes, and document structuring — showing how semantic assets become the true competitive moat.

Evaluation MetricsGraphRAGKnowledge Governance

0 likes · 37 min read

Ontology-Driven Knowledge Engineering: Building Trustworthy Enterprise AI Agents Beyond RAG

Data Bricklaying Diary

Aug 5, 2026 · Industry Insights

Ontology Intelligence: Closing the Engineering Gap for Enterprise AI Agents

This article introduces the Ontology Intelligence series, explaining why enterprise AI agents fail in production without unified business semantics, current object state, explainable decisions, controlled actions, and continuous governance—outlining a five-layer framework and scenario-based criteria for adopting ontology-driven architectures.

AI Production GapControlled ActionsDecision Explainability

0 likes · 18 min read

Ontology Intelligence: Closing the Engineering Gap for Enterprise AI Agents

Data Bricklaying Diary

Aug 4, 2026 · Artificial Intelligence

Enterprise Agent Experience Reuse: From Knowledge to Governed Capability Packages

This article outlines a four-step framework for converting employee expertise into reusable enterprise agent capabilities: distilling tacit knowledge into organizational knowledge, encapsulating stable task methods as Skills, connecting data and tools via MCP, and packaging them into governed capability bundles with versioning, permissions, and evaluation assets for controlled reuse and continuous improvement.

Capability PackagesMCPSkill Encapsulation

0 likes · 16 min read

Enterprise Agent Experience Reuse: From Knowledge to Governed Capability Packages