The importance of international AI: overview from a revealing tech talk

It’s the hottest buzzword in the technology space: artificial intelligence. And for good reason. As computers become more adept at mimicking human processes, artificial intelligence—or AI—is increasingly influencing the day-to-day lives of consumers.

Yet as AI reshapes the way we conduct business across the globe, mainstream AI efforts are still based on English databases. Even the most advanced AI capabilities remain focused on English-centric product performance.

Last month, e2f had a chance to attend an International AI Event—capturing the growing importance of international AI. Hosted by GlobalSaké, the San Francisco event featured case studies, panels, and tech talks from cross-functional experts.

The key takeaway from the event: international AI is an integral component of any company’s global growth.

Panelists discussed LinkedIn as a prominent example of a global company focusing on international AI. LinkedIn is used in a distinct manner across borders, and AI systems must be tailored to properly account for these discrepancies. In Germany, for example, all job titles have male and female equivalents. Thus, when German candidates are involved, LinkedIn’s search functions must be trained to accommodate vastly different data sets.

YouTube is another leading company incorporating AI into their localization strategy. The YouTube recommendations feature relies on machine learning, yet recommendations based on English datasets vary substantially from those based on non-English datasets. YouTube must consider the implications of multilingual AI to fuel a product that best suits customers in all languages.

As one of the primary applications of AI, machine learning is, arguably, the leading force driving AI’s rapid development. AI relies on the learnings and adjustments of machine learning in order to function.

Same principle is used in NMT – neural machine translation that is, reportedly, improving and bridging the gap between human and machine translation quality.

As the ability to process data continues to transform the world around us, it is more important than ever that companies stay ahead of the trends, and in particular incorporate neural machine translation into their localization strategies. Only then can they provide the sort of personalized product experience that allows for global growth and success.

Here at e2f, we’re applying advanced machine learning solutions to deliver speedy, error-free, nuanced translations. We have the technology and expertise to build custom machine translation solutions, enabling us to tactfully tackle translation projects of all shapes and sizes. Contact us for more information about our machine translation customization solutions.