Generative AI adoption framework - 4 quardants - low risk item where quality of out of box LLm model is good, low risk item where quality need improvement, high risk item where better results are needed, high risk item where quality is very low. One should determine error rate and tolerance for error rate and accordingly implement generative AI.
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Additional Comments
Adoption Framework |
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Adoption framwork help companies determine areas where generative AI adoption can happen quickly. Areas that are less mission crticial and where out of box generative AI works well with low error rate are good candidate to onboard generative AI. |
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Framework need to be structured. It shold provide stages, best practices and how to evaluate risks and opportunties. |
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Slides describe 5 stages of gnerative AI adoption phases. |
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It describe areas where out of box model can be used without issues. It describe areas where out of box model will not work and there is opportunity to innovate |
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Slide also describe how to extend AI risk and consider all ris for generative AI |
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finally slide describe use caes that can be adopted with ease |
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Mission critical areas where out of box model does not work - should be adopted at last stage. Companies should evaluate whether training on domain specific data will help. If building such model produce good result, it will provide competitive advantage |
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