UTS2831
Sharing — Find the Right Problem (Zwee)
Intro backdrop
Intro

Find the Right Problem

UTS2831 — Global AI Innovation & Singapore Entrepreneurial Landscape
  • Zihuan Wee (“Zwee”) — Founder & CEO, Savant Degrees; NUS MSc (AI & Innovation) Instructor
  • Builder’s lens across SMEs, corporates, and public sector GenAI prototyping
  • Core thesis: AI lowers the cost of building — not the cost of understanding
Today’s sharing is about one thing: use-case clarity. How to spot real problems, go deep into workflows, and prototype fast with AI.
Speaker cue:
30 seconds: who you are. 30 seconds: what the audience will leave with. Then jump into Part 1.
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1. Excitement

The Excitement Phase

Energy is high. Direction is unclear.
  • Everyone asks: “What can we do with AI?”
  • The room gets excited about tools, models, demos.
  • But excitement isn’t strategy — it’s a starting signal.
“The wrong first question creates the wrong first build.”
Speaker cue:
Use this slide as a backdrop while you tell the story for this part. Keep it conversational — one concrete example, one turning-point line, then move on.
The Pattern: Why Good AI Ideas Stall backdrop
2. Stall

The Pattern: Why Good AI Ideas Stall

Great demo. No lift-off.
  • Pilots look impressive — then quietly stop.
  • Not because AI fails, but because the problem is vague.
  • AI makes building cheap. It makes clarity priceless.
“AI rewards precision, not enthusiasm.”
Speaker cue:
Use this slide as a backdrop while you tell the story for this part. Keep it conversational — one concrete example, one turning-point line, then move on.
The Turning Point backdrop
3. Friction

The Turning Point

Stop asking what AI can do. Find where friction lives.
  • Map the workflow before choosing the tool.
  • Zoom in on bottlenecks: time, errors, handoffs, compliance delays.
  • Once friction is clear, the AI use-case becomes obvious.
“In the AI era, technology is abundant. Clarity is scarce.”
Speaker cue:
Use this slide as a backdrop while you tell the story for this part. Keep it conversational — one concrete example, one turning-point line, then move on.
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4. Leverage

The New Rule of Building

AI is leverage. Problem fluency is the weapon.
  • Small, AI-augmented teams can move at surprising speed.
  • The advantage shifts to people who understand industries deeply.
  • Prototype fast → test with real users → iterate toward fit.
“Go deep enough that the solution feels inevitable.”
Speaker cue:
Use this slide as a backdrop while you tell the story for this part. Keep it conversational — one concrete example, one turning-point line, then move on.
The Big Message backdrop
5. Focus

The Big Message

Choose an industry. Go deep. Prototype relentlessly.
  • AI doesn’t replace understanding — it multiplies it.
  • Singapore is a strong launchpad: skills, grants, ecosystem support.
  • Your job: find the problem worth solving, then build with speed.
“Technology is leverage. The real moat is insight.”
Speaker cue:
Use this slide as a backdrop while you tell the story for this part. Keep it conversational — one concrete example, one turning-point line, then move on.