01 · Understand
AI workshop
Using your own work as the material: what AI can and cannot do, and a hands-on run-through on the day.
- You get
- Slides, exercises and a workflow example
- Format
- About 3 hours, in person or online
Applied AI × Data Systems · Taipei 25.03°N 121.54°E
Helping your team put AI to work.
For teams with plenty of documents and data who want AI in their daily work.
AI workshopsAdoption reviewsKnowledge-base & tool pilots
- Talks & workshops
- 12Since Nov 2025 · universities, research institutes, government
- Own knowledge base
- ~1,000 docsQueried in plain language
- Automated digests
- 3Produced every week
01Services
From one workshop
to AI tools of your own.
Each step stands on its own. Most teams start with a workshop.
02 · Assess
Adoption review
We map your workflows and data, find where AI is worth it, and say plainly what should not be handed to AI.
- You get
- Priorities, data needed, risks and expected gains
- Format
- Interviews plus a written recommendation
03 · Build
Knowledge-base & tool pilot
A small working tool built on your own documents and data, such as an internal knowledge base you can ask in plain language.
- You get
- A working prototype, an evaluation method and hand-over notes
- Format
- A pilot of a few weeks
02Track record
Tools in use,
workshops delivered.
Plus a record of talks since November 2025.
Own build
Landslide document knowledge base
About 1,000 documents you can question in plain language, answered from the documents themselves.
Workshop · May 2026
Research-centre AI workshop
NYCU Disaster Prevention & Water Environment Research Center: about 50 people, 3 hours. From instructing AI to designing its working rules, hands-on throughout.
Automated service
Automated weekly digests
Every week it pulls new items from hand-picked sources; AI screens them and writes Chinese summaries, published as websites or sent to subscribers.
- AI Education Weekly
- AI & People Weekly
- Landslide research digest (email)
Talks & workshops12 since Nov 2025 · universities, research institutes, government+
- Annual Geophysics & Geology MeetingSession chair: Earth science and hazard technology in the age of AI
- NYCU Disaster Prevention & Water Environment Research CenterHow AI use is evolving and how workflows are rebuilt (3-hour workshop)
- National Taipei University of TechnologyInvited talk
- NTU Department of GeosciencesGeoscience in the Age of Agentic AI
- NYCU Department of Civil EngineeringFrom Concept to Practice: Agentic AI in Modern Research
- Young Geoscientists ExchangeA LINE rock classifier
- University of TaipeiBuilding a personal AI tutor
- Academia Sinica, Institute of Earth SciencesMultiple AI agents for brainstorming
- Agency of Rural Development and Soil and Water Conservation, technical seminarClear thinking in the AI wave: human–AI collaboration in geoscience and hazard work
- NCU Department of Civil EngineeringAdaptive Machine Learning for Rockfall and Debris Flow Detection and Warning under Concept Drift
- NSYSU Department of OceanographyBoosting Research Efficiency using LLM Tools
- National Taiwan Normal UniversityLLMs × Earth science: from knowledge distillation to a virtual white paper
03About
Done means deployed,
evaluated and handed over.
His work spans real-world sensor data, ML systems, agentic AI and knowledge workflows. He is at home where data is noisy, incomplete and imbalanced, and can explain complex ideas to people from any background.
04Contact
Bring the problem.
Let’s find the next step.
A short description of where you are and what you hope to achieve is enough. The first conversation clarifies the problem, the state of your data and what success looks like, then we decide how to work together.