IAI | HSLU | Magdalena Picariello
Introduction to AI | HSLU
Introduction to AI | HSLU
Kartei Details
| Karten | 92 |
|---|---|
| Sprache | English |
| Kategorie | Informatik |
| Stufe | Universität |
| Erstellt / Aktualisiert | 17.10.2023 / 02.11.2023 |
| Lizenzierung | Keine Angabe |
| Weblink |
https://card2brain.ch/box/20231017_iai_%7C_hslu_%7C_magdalena_picariello
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| Einbinden |
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What AI can and cannot do?
Due diligence on the project
Brainstorming framework
- Think about automating tasks rather than automizing jobs, e.g. call center routing, radiologists
- What are the main drives of the business value?
- What are the main pain points in the business?
Key Questions in Technical diligence:
● Can we meet desired performance?
● Can we use pre-existing components?
● How much data is needed?
● What resources are needed?
● What are the dependencies?
● Are there any legal constraints?
Key Questions in Business diligence:
● Does it lower costs?
● Does it generate revenue?
● Does it enable launching new product?
● Does it generate ENOUGH value?
Is the project technically feasible?
Questions to ask yourself:
Do other people solve similar problems?
What performance do they achieve?
With my skills, what performance can I achieve?
Do I need additional resources?
Can I do it in a reasonable time?
Is the project technically feasible?
Can I make an AI project without big data?
Yes, you can make progress without big data.
