Finding real AI value
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
separate AI uses that create value from those that only add cost and risk.
Planned topics
- Start from a business problem and a measure (conversion, handling time, listing quality), not from a model.
- Good fits: language-heavy tasks, ranking with fuzzy signals, drafting with human review.
- Poor fits: tasks with exact rules, zero error tolerance, or too little data.
- Count the full cost: inference, evaluation, monitoring, review effort, and incident risk.
Draft outline details
Demonstration
a scoring grid for AI ideas: value, feasibility, data readiness, risk, cost, and a verdict of pursue, pilot, or reject.
Check your understanding
What should an AI proposal start from?
Show answer
A business problem and a measure of value, not a model.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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