๐ช๐ต๐ ๐๐ผ๐บ๐ฎ๐ถ๐ป ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ ๐ช๐ถ๐๐ต ๐๐
AI writes code. AI summarizes documents. AI answers questions fast.
But AI needs human expertise. It needs domain knowledge.
I built Fix-It Fast AI. I learned a lesson. Advanced models are not the whole solution. You must understand the problem.
An AI knows what an HVAC system is. It knows what a fridge does. But it lacks real world experience.
Practical repair needs:
- Failure patterns
- Error codes
- Technician methods
- Context
A homeowner sees a tripped breaker. A technician sees something else. The environment changes the cause.
Successful AI needs three things:
- Reasoning from the model
- Context from the knowledge base
- Symptoms from the user
Domain expertise connects these parts. Without it, AI fails to give practical help.
This applies to every field:
- Health
- Finance
- Factory work
- Security
Combine AI with deep knowledge. This gets results.
Technology improves. Real world problems stay the same. Domain knowledge is more valuable now. The future belongs to those who combine both.
Source: https://dev.to/michael_groover_1fe970a66/why-domain-knowledge-still-matters-in-the-age-of-ai-1ji3