Tagged articles

organizational knowledge

6 articles · Page 1 of 1

AI Large-Model Wave and Transformation Guide

Oct 27, 2026 · R&D Management

Scaling FDE Teams: Turning Personal Expertise into Organizational Delivery Capability

The article argues that while individual FDE expertise is hard to replicate, organizations can scale delivery by codifying domain knowledge into reusable platforms and models, enabling tiered collaboration and AI-augmented efficiency rather than relying on heroic individuals.

AI-assisted deliveryFDEForward Deployed Engineer

0 likes · 13 min read

Scaling FDE Teams: Turning Personal Expertise into Organizational Delivery Capability

DataFunSummit

Oct 15, 2026 · Artificial Intelligence

How Three Companies Built AI Systems That Know When They Can't Be Trusted

Amap, JD Retail, and Xiaoying Technology share production architectures for marketing ROI evaluation, conversational analytics, and voice agents — all converging on making AI recognize its own epistemic limits rather than just chasing accuracy.

Agentic WorkflowROI evaluationcausal inference

0 likes · 18 min read

How Three Companies Built AI Systems That Know When They Can't Be Trusted

Data Bricklaying Diary

Sep 8, 2026 · R&D Management

From Wiki to Execution: Making Organizational Knowledge Work for AI Agents

The article explains why organizational rules stored in wikis fail to constrain AI agents, and presents a five-layer framework—project context, reusable skills, event-driven hooks, CI gates, and platform policies—to embed knowledge directly into agent execution paths, with versioning, ownership, and gradual rollout practices.

AI agentsAgent ExecutionCI/CD

0 likes · 14 min read

From Wiki to Execution: Making Organizational Knowledge Work for AI Agents

Baidu Geek Talk

Sep 8, 2026 · Artificial Intelligence

Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets

The article defines three criteria — high consultation frequency, fixed judgment paths, and inconsistent conclusions across people — for deciding which business experiences should be codified as AI Agents, illustrates them with the E-SAGE platform's data-metric and live-streaming cold-start diagnosis Agents, and argues the real barrier is business understanding, not programming skill.

AI agentsAgent GovernanceBusiness Experience

0 likes · 15 min read

Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets

Chengwu Tech Stack

Aug 15, 2026 · Artificial Intelligence

Why AI Agents Fail in Enterprises: The Case for Organizational Context Engineering

This article explains why AI agents that excel in personal projects falter in enterprise environments, arguing that the gap stems not from model limitations but from fragmented organizational knowledge, and proposes a five-layer context engineering framework to make companies AI-readable through versioned context packages, permission controls, and evidence-driven feedback loops.

AI agentsAgent architectureContext Engineering

0 likes · 28 min read

Why AI Agents Fail in Enterprises: The Case for Organizational Context Engineering

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.

Agent GovernanceCapability PackagesMCP

0 likes · 16 min read

Enterprise Agent Experience Reuse: From Knowledge to Governed Capability Packages