I worked under a leader who used to tell us that if you can't put your idea into a 2X2 matrix, you still have more work to do. He didn't mean it literally, but he used it as a rule of thumb to evaluate and simplify our ideas and models so people would be more likely to understand and support our proposal. Concerning fraud detection, I've always been fascinated with Benford's Law. I think gen-ai will help both sides (fraudsters and detectors), e.g., look at the following dataset and analyze it using Benford's law - let me know if anything stands out. If you've never heard of Benford's law, here's a link: https://www.scientificamerican.com/article/what-is-benfords-law-why-this-unexpected-pattern-of-numbers-is-everywhere/
That's an interesting business matrix. I have found the strengths, weaknesses, opportunities, and threats (SWOT) diagram (matrix, or whatever it's being called now) useful in strategic planning.
How this applies to AI? I don't have answers.
I have yet to be convinced the organizations implementing these care about quality and/or the voice of the customer (VoC). Both are traits I was taught to work on.
I believe (this is merely my opinion) that a lot of the people pushing these AI initiatives are merely fascinated with tech, and/or they have gone to school for it. Therefore, they believe that they have to push their training/knowledge on everyone else.
As one of my former professors (who is in tech;) said "... just because you can doesn't always mean you should."
I worked under a leader who used to tell us that if you can't put your idea into a 2X2 matrix, you still have more work to do. He didn't mean it literally, but he used it as a rule of thumb to evaluate and simplify our ideas and models so people would be more likely to understand and support our proposal. Concerning fraud detection, I've always been fascinated with Benford's Law. I think gen-ai will help both sides (fraudsters and detectors), e.g., look at the following dataset and analyze it using Benford's law - let me know if anything stands out. If you've never heard of Benford's law, here's a link: https://www.scientificamerican.com/article/what-is-benfords-law-why-this-unexpected-pattern-of-numbers-is-everywhere/
Good morning,
That's an interesting business matrix. I have found the strengths, weaknesses, opportunities, and threats (SWOT) diagram (matrix, or whatever it's being called now) useful in strategic planning.
How this applies to AI? I don't have answers.
I have yet to be convinced the organizations implementing these care about quality and/or the voice of the customer (VoC). Both are traits I was taught to work on.
I believe (this is merely my opinion) that a lot of the people pushing these AI initiatives are merely fascinated with tech, and/or they have gone to school for it. Therefore, they believe that they have to push their training/knowledge on everyone else.
As one of my former professors (who is in tech;) said "... just because you can doesn't always mean you should."
Thank you for your time.