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Brianna White

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Jul 30, 2019
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Enterprise customers of companies like Microsoft and Google have come to expect their office productivity suites -- Office 365 and Google Docs -- to incorporate localization for the various markets where employees work and where they do business with customers. For instance, that means that Office 365 could be customized in preferences to use certain languages and currencies as a default, depending on where the user works. In the US it's dollars and in the UK it’s pounds.
That kind of localization technology has been around for decades and extends to many different enterprise applications and services.
But emerging technologies generally focus on a single market when they are developed. That means they aren’t initially equipped with this kind of localization technology. For instance, if a US-based company has launched an AI program, the AI models may do a terrific job of reflecting how things work in the US, but may very well fall short in markets abroad. Localization for AI has not yet arrived.
That’s not hugely surprising. Just a few years ago many enterprises were finding it challenging to implement AI into production at scale. The pandemic has accelerated adoption, however, and now some organizations may find themselves at the point of refining these systems.
Continue reading: https://www.informationweek.com/ai-or-machine-learning/why-enterprises-are-training-ai-for-local-markets
 

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