Does the application, industry, data, interpretation, and quality of talent matter when implementing a data-driven strategy?


When and why do the experts seem to be more accepting of models after a certain point?



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Data Analytics Review 2 2024
When and why do the experts seem to be more accepting of models after a certain point?
They realize that Models are not going to replace them. Experts know that they are needed.
Do you believe experts and models should work together in tandem? Or should they keep each other in a sort of checks and balances?
Models and experts should work together to get a better picture of the review being done. Their efforts will lead better products, better health safety and allowing social change from the SCOTUS, hospitals and even wine.
This is better than “Asking Marcus” as the commercial says.


This story epitomizes two Supreme Court truths: The business of the court matters a lot to a lot of people, and it is extremely complex. Predicting these cases is important for our society.


The current supremacy of the best humans over the machines is probably possible by a few top-notch players who will do better than any computer model. The next Garry Kasparov, or Ken Jennings, referring to IBM’s Deep Blue and Watson’s supercomputers may be out there to shift results to next level of experts.



1 The Statical Sommelier: An Introduction to Linear Regression.

2 Judge, Jury and Claddiier: An Introduction to trees.

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