Tagged articles

AI implementation

11 articles · Page 1 of 1

AI Large-Model Wave and Transformation Guide

Aug 20, 2026 · Industry Insights

Why AI Can't Do the Toughest Work in Ontology Product Implementation

The article explains that deploying AI, especially knowledge‑ontology solutions, is dominated by extensive business and interface research, planning, and scenario analysis—tasks that AI cannot automate—so most project time and budget are spent on manual investigation and integration rather than coding.

AI implementationBusiness Analysisenterprise integration

0 likes · 8 min read

Why AI Can't Do the Toughest Work in Ontology Product Implementation

Data Bricklaying Diary

Aug 12, 2026 · R&D Management

Scaling AI Pilots: Reuse Validated Capability Packages, Not Agent Instances

The article argues that scaling AI pilots requires reusing validated capability packages—including business semantics, Skills, tool contracts, governance, evaluation assets, and operational mechanisms—rather than copying Agent instances, emphasizing stable core vs. configurable scenario adaptation, phased expansion with admission assessments, unified maintenance responsibilities, and metrics tracking reuse rates and cost reduction.

AI implementationAI scalingAgent reuse

0 likes · 15 min read

Scaling AI Pilots: Reuse Validated Capability Packages, Not Agent Instances

Data Bricklaying Diary

Jul 27, 2026 · R&D Management

Defining the First AI Pilot: From Value Narrative to Minimum Value Loop

The article argues that the first AI pilot should start with a value narrative defining role, scenario, current state, target state, and verifiable metrics, then select a scenario meeting five feasibility conditions to run a minimum value loop of role, action, AI assistance, human confirmation, and metrics, enabling a go/expand/adjust/stop decision.

AI implementationAI projectR&D management

0 likes · 9 min read

Defining the First AI Pilot: From Value Narrative to Minimum Value Loop

AI Engineer Programming

Jul 9, 2026 · Industry Insights

What Is an FDE? A Deep Dive into the Role Bridging Tech, Business & Ops

The article provides a comprehensive analysis of the emerging FDE role, detailing its definition as a translation officer that combines technical implementation, business translation, and on‑site delivery to bridge the four‑layer gap between mature AI technology and real‑world enterprise adoption.

AI DeploymentAI implementationAgent Frameworks

0 likes · 18 min read

What Is an FDE? A Deep Dive into the Role Bridging Tech, Business & Ops

Data Integration and Governance

May 26, 2026 · Fundamentals

Why a Clear, Unified Data Metric System Is the Key to Successful AI Adoption

The article explains how a clear, unified, and executable data metric system—spanning goal, theme, indicator, definition, and application layers—solves inconsistencies, aligns business objectives, and enables effective AI deployment, emphasizing steps such as goal setting, indicator classification, standardization, and cross‑functional collaboration.

AI implementationBusiness AnalyticsMetric System

0 likes · 12 min read

Why a Clear, Unified Data Metric System Is the Key to Successful AI Adoption

Yunqi AI+

Mar 18, 2026 · Industry Insights

Which Enterprise AI Scenarios Are Worth Pursuing and How to Implement Them

The article argues that choosing the right AI scenario and redesigning business processes is far more critical than model selection, outlines proven use‑cases across sales, marketing, customer service, engineering, supply chain, finance, HR, and legal, and provides a practical three‑dimensional framework for prioritizing and rolling out AI projects.

AI implementationAI use casesBusiness Process Automation

0 likes · 17 min read

Which Enterprise AI Scenarios Are Worth Pursuing and How to Implement Them

AI Tech Publishing

Nov 20, 2025 · Artificial Intelligence

Million‑Dollar AI Playbook: From Prompt Engineering to Agents – Anthropic’s Full PDF Unpacked

Anthropic’s enterprise guide shows how early adopters boost productivity—20‑35% faster customer service, 30‑50% higher content output, 15% less coding time—and outlines a four‑step framework, prompt‑engineering formula, and agent roadmap to turn AI into measurable business value.

AI implementationAgentsAnthropic

0 likes · 10 min read

Million‑Dollar AI Playbook: From Prompt Engineering to Agents – Anthropic’s Full PDF Unpacked

Fighter's World

Sep 19, 2025 · Industry Insights

Why AI Companies Are Embracing Palantir’s Forward Deployed Engineer Model

The article examines Palantir’s Forward Deployed Engineer (FDE) model—its origins in high‑risk government projects, core responsibilities, and how its blend of deep technical expertise and client‑side immersion addresses the “last‑mile” AI implementation challenges, making it a strategic asset now adopted by leading AI firms.

AI implementationFDEForward Deployed Engineer

0 likes · 30 min read

Why AI Companies Are Embracing Palantir’s Forward Deployed Engineer Model

AI Info Trend

Sep 19, 2025 · Industry Insights

Six Hard‑Earned Lessons from a Year of Agentic AI Deployments

A McKinsey report on over 50 agentic AI projects reveals six practical lessons—focusing on workflow redesign, realistic expectations, rigorous evaluation, continuous monitoring, reusable components, and the evolving human role—to help enterprises unlock real productivity gains while avoiding costly pitfalls.

AI implementationAI lessonsAgentic AI

0 likes · 10 min read

Six Hard‑Earned Lessons from a Year of Agentic AI Deployments

Tencent Cloud Developer

Nov 21, 2024 · Artificial Intelligence

Case Study: Tencent Health's Implementation of AI Code Assistant for Enhanced Development Efficiency

Tencent Health’s medical team deployed Tencent Cloud’s AI Code Assistant, achieving full coverage with roughly 40 % of code generated by the AI; after overcoming early bugs via a vanguard team and feedback loops, they increased per‑capita delivered requirements by 18 %, coding output by 41 %, cut defect rates by 31 %, and earned a 4.8‑out‑of‑5 satisfaction score while planning deeper integration and API‑driven extensions.

AI code assistantAI implementationTencent Health

0 likes · 10 min read

Case Study: Tencent Health's Implementation of AI Code Assistant for Enhanced Development Efficiency

21CTO

Jan 27, 2018 · Artificial Intelligence

How to Overcome Real-World AI Implementation Challenges and Unlock Business Value

This article explores the growing complexity of AI adoption, the need for customized predictive solutions, and practical steps for enterprises to integrate machine learning without over‑hauling development teams, using IoT predictive‑maintenance as a concrete example.

AI implementationData ScienceEnterprise AI

0 likes · 8 min read

How to Overcome Real-World AI Implementation Challenges and Unlock Business Value