Jul 30, 2026 · Industry Insights

Why Business Ontology Beats Large AI Models for Real-World Productivity

The article analyzes how industrial AI must first build a unified business ontology—mapping fragmented data about engines, parts, orders, and maintenance into coherent business objects—before large models can reliably turn insights into actionable decisions, using GE's J85 engine program as a concrete case study.

AI-driven operationsEnterprise AIJ85 engine

0 likes · 13 min read

Why Business Ontology Beats Large AI Models for Real-World Productivity

DataFunSummit

May 27, 2026 · Artificial Intelligence

How Baidu’s “Sheng Suan” Turns Agents from Outsiders into Business‑Savvy Assistants

The article explains that most AI agents achieve only 80‑90% accuracy in read‑only tasks and cannot handle core production decisions, then details Baidu’s “Sheng Suan” platform which uses a three‑layer business ontology and system‑engineered sandbox, audit, and simulation features to enable agents to execute write operations, citing three real‑world cases where decision latency dropped from months to minutes and accuracy exceeded 95%.

AI AgentsEnterprise AIbusiness ontology

0 likes · 8 min read

How Baidu’s “Sheng Suan” Turns Agents from Outsiders into Business‑Savvy Assistants