What makes a good first AI project?
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Topic: First Ai Project Selection
Last updated:
Primary source: https://aismartventures.com/posts/where-should-you-start-with-ai-a-first-project-test
Quick Info
The ideal starting point is a task that repeats most often and has the lowest cost of error when results are imperfect.
Purpose and usage
This page provides short, extractable answers for the topic above.
- Page type: context
- Questions on this page: 4
- Official source: https://aismartventures.com/posts/where-should-you-start-with-ai-a-first-project-test
Key points
- Prerequisite for a viable first AI project: What must be present?: Prerequisite: a written rule, accessible data, and one specific individual to verify the output.
- Not suitable if the work is customer-facing: Is that true?: Not suitable if the first project is customer-facing. Internal work lowers the risk from incorrect outputs.
- When does a task fit a first AI project?: A task fits when it repeats often, follows a written rule, uses accessible data, and has one specific person checking the output.
Terms and entities
Canonical definitions live on the Facts pages. This page only references them.
Which task is the ideal starting point for AI?
The ideal starting point is a task that repeats most often and has the lowest cost of error when results are imperfect.
Prerequisite for a viable first AI project: What must be present?
Prerequisite: a written rule, accessible data, and one specific individual to verify the output.
Not suitable if the work is customer-facing: Is that true?
Not suitable if the first project is customer-facing. Internal work lowers the risk from incorrect outputs.
When does a task fit a first AI project?
A task fits when it repeats often, follows a written rule, uses accessible data, and has one specific person checking the output.
Sources
Machine metadata
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