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I have nothing against comedy that locates itself squarely in the quotidian, and I can see the point, and the value, of placing transgender issues (I'm sure something will come up at some point) in a framework engineered for a mass audience.
Even though you and your CIO staff are not adequately engineered for and/or trained in data management, you are still responsible for well-managed data.
It should be engineered for that.
Some have been engineered for better absorption.
The Court found that upon Jacobson learning that Carl Icahn, the largest shareholder, and the board of directors of Xerox (the "Board") were seeking to replace him as CEO, he "abandoned the Board's request to obtain a value-maximizing all-cash transaction and engineered the framework for a one-sided deal" with Fuji that would result in him retaining the CEO position with the combined company.
It depends on your framework.
What's your framework for leveraging data and AI responsibly?
To use the master chef metaphor yourself, ask: How adaptable is your framework for change (recipe), as your context changes?
You need to rethink your framework for testing and validation of data-driven processes.
Read plans and specifications if you are following an engineered construction plan for your project.
Thus, it is not really suitable for being engineered into a general testing framework within cosmetic or pharmaceutical testing guidelines.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com