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The Answers platform is powered by Sponge, a white-label question and answer technology.
In its present form this service puts the natural language question and answer technology consumers use to perform web searches to work for corporate customer services.
One example might be search engines that are competing with Google and don't have their own instant answer technology.
Beginning last November Dell also prodded its customer support staff to team up with technicians to answer technology questions, thereby cutting by two-thirds the number of times a caller is transferred.
In all my years asking this question, never have I heard the answer: technology.
Answer: Technology, at least, will buy us time, but it needs to be more than incremental improvement to matter.
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Then again, who needs HAL-like comprehension when throwing mounds of data at a problem is sufficient for the task at hand? Watson's question-answering technology finds parallels in other data-driven N.L.P. projects currently making headway, like computer-aided translation — still generally known by the quaint name "machine translation," or M.T., a vestige of the early '50s.
This article provides a comprehensive and comparative overview of question answering technology.
His answer: "Poor technology strategy and a poor understanding of what value the available technologies can really bring to the company".
The answer is technology.
The answer is technology, not more babies.
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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