Tagged articles

business research

4 articles · Page 1 of 1

Aug 31, 2026 · R&D Management

10 Core Competencies for High-Paid FDEs in AI Deployment

The article outlines ten critical capabilities required for Frontline Deployment Engineers (FDE) to successfully deliver AI projects, covering business research, problem breakdown, scenario judgment, solution design, rapid demo, data preparation, system integration, process orchestration, security governance, and impact review, emphasizing end-to-end delivery from vague requirements to measurable business value.

AI deploymentAgentElasticsearch

0 likes · 10 min read

10 Core Competencies for High-Paid FDEs in AI Deployment

Data Bricklaying Diary

Aug 22, 2026 · R&D Management

From Vague Requirements to Verifiable Business Scenarios: A 7-Step Ontology Research Method

This article outlines a seven-step business research methodology for ontology modeling, transforming vague requirements into clear, verifiable business scenarios by distinguishing facts, rules, judgments, and hypotheses, evaluating candidate opportunities, defining value narratives and boundaries, and producing a scenario definition card as a modeling input.

Data Governancebusiness researchknowledge engineering

0 likes · 29 min read

From Vague Requirements to Verifiable Business Scenarios: A 7-Step Ontology Research Method

Data Bricklaying Diary

Jul 28, 2026 · Product Management

Don't Ask Users What They Want—Observe Work to Find Real AI Opportunities

This article argues that effective AI opportunity discovery requires shadowing real work to uncover friction points like repetitive information gathering and delayed exception detection, rather than asking users for feature requests, and introduces the AI Opportunity Card framework to evaluate and prioritize pilot projects based on stable evidence, human boundaries, and verifiable outcomes.

AI opportunity cardAI opportunity discoveryProduct Management

0 likes · 9 min read

Don't Ask Users What They Want—Observe Work to Find Real AI Opportunities

Data Bricklaying Diary

Jul 15, 2026 · Big Data

Ontology-Driven Data Governance: Business Modeling from Research to Symbolic Models

This article explains how ontology-driven data governance requires thorough business research and modeling before database design, detailing a six-element framework (objects, processes, states, rules, data sources, Agent opportunities) and visual modeling techniques like OPM and BPMN to create stable semantic foundations for data mapping and AI agents.

AI AgentsBPMNData Governance

0 likes · 12 min read

Ontology-Driven Data Governance: Business Modeling from Research to Symbolic Models