From the course: How to Measure Anything in AI: Quantitative Techniques for Decision-Making
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Anything, including AI, is measurable
From the course: How to Measure Anything in AI: Quantitative Techniques for Decision-Making
Anything, including AI, is measurable
- Now we have covered a lot of high level concepts in this rapidly changing field. I want to highlight some of the key takeaway elements from this course. Firstly, remember, anything including AI is measurable. You just have to remember the ideas behind the concept of measurement, the object of measurement, and the methods of measurement. With that, remember that AI is highly uncertain and that actually makes it easier to measure because it's uncertain, not in spite of being uncertain. If you know almost nothing, almost anything will tell you something. Additionally, these measurements are often economically justifiable due to large opportunity losses associated with acting too soon or too late. Right now, there are probably low hanging fruit items that you can begin measuring and tracking. Remember, to determine the value of AI innovations, you often need to understand your current state. That's something you can do right now. Once these benchmarks are established, you should be able…
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