How brands can use machine translation to manage data

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Building a trustworthy brand requires understanding your global audience. Here's how machine translation can help. SDL ad

We entered 2021 with renewed hope — vaccines on the horizon and a respite from the seemingly ever-long gloom of COVID-19 lockdowns and restrictions. In the absence of human-to-human contact, there's no denying that technology has helped bring us all closer together. But our reliance on technology has forever changed the way companies will need to engage with us.

Perhaps you're charged with regulatory compliance. You need to understand business risk based on employee communication and a mountain of internal policy documents across multiple languages and channels. Access to this intelligence is critical. But how do you work with this global data at scale within tight budget constraints? How can you trust that you have the full view if you are unable to incorporate the global perspective? It all starts with gaining intelligence from your data.

But managing data — and truly understanding data — are two very different things. Enter stage left the increasing reliance on neural machine translation technology, which provides the ability to understand data — its meaning, intention, and purpose — providing greater agility to management teams to adapt to prevailing conditions more rapidly and more accurately.

 

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