How does Google Cloud help non-experts build with AI?
Why D is the answer
Low-code tools, pre-trained models and APIs
Low-code tools, pre-trained models and APIs let non-experts build with AI, which is often called democratizing AI.
In detail
- Low-code tools, pre-trained models and APIs lower the barrier.
- This is often called democratizing AI.
Use case
An illustrative scenario, not a real incident.
A business analyst adds image labels with a pre-trained API, and writes no ML code.
See it in different ways
mindmap
root((Offerings))
Everyday work
Gemini for Workspace
Gems
Enterprise
Gemini Enterprise
Agent Platform
Customers
Agent Search
Conversational Agents
Contact center
Agent Assist
Conversational Insights
Developers
Model Garden
Google AI Studiomindmap
root(("Democratizing AI"))
n1["Tools"]
n2["Low-code tools"]
n3["Ready-made"]
n4["Pre-trained models"]
n5["APIs"]Key point: Google Cloud offers low-code routes.
Why the other options are wrong
- A. A requirement to write custom chips
- Nobody needs to design chips.
- B. A rule that only data scientists may sign in
- There is no such rule.
- C. A need to train every model from scratch
- Pre-trained models avoid that.