Harvard business review case study alibaba the self tuning enterprise in 2021
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Harvard business review case study: alibaba, the self-tuning enterprise.
A case study should let in a solution to the discussed problem.
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Which is a case study of the self tuning approach?
The most complex and dynamic environments demand a self-tuning approach that recalibrates strategy constantly.
How does the self tuning system in Alibaba work?
No analyst has to handcraft recommendations, individually interpret user feedback, adjust the exploration rate manually, or deliberate about the best new options to test out on users. And that allows self-tuning systems to operate at very high speeds.
What's the difference between the self tuning enterprise and the evolutionary approach?
The self-tuning enterprise, in contrast, takes an evolutionary approach at all levels. The vision, business model, and supporting components are regularly calibrated to the changing environment by applying the three learning loops.
How are self tuning algorithms adapted to the environment?
Self-tuning algorithms learn not just from trial and error but by adapting the rate of experimentation to the environment. In other words, the experimentation machine modifies itself as it proceeds. With new customers, higher rates of experimentation are necessary to unearth what they do and don’t like.
Last Update: Oct 2021
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