When it comes to languages, many problems arise in typical translation services. Either it is bad grammar or the translation does not completely make sense afterward. It is essential that these mistakes do not fall through during the final translation, whether it's during a business transaction or simply a conversation. Luckily, technology has advanced this process with the help of automation and artificial intelligence, assisting with speed and accuracy. In this article, we will discuss some of the most prominent and up-and-coming companies that provide these automated solutions that break down the language barrier.

The language industry is having a moment. The ongoing global health crisis has forced organizations to break down borders and support a global remote workforce, requiring more cross-language interactions and coordination than ever before. At the same time, technological innovations in the language translation industry are at an all time high. We've never before had access to such sophisticated technology tools to manage translation processes. I predict it's going to be an exciting year in the industry, with an unprecedented level of innovation.

This post is co-authored by Lezgin Bakircioglu, Innovation and Security Manager at Daniel Wellington. In their own words, "Daniel Wellington (DW) is a Swedish fashion brand founded in 2011. Since its inception, it has sold over 11 million watches and established itself as one of the fastest-growing and most coveted brands in the industry." In this post, we share how DW saved 99% on translation costs with Amazon Translate and other AWS services. At DW, having the ability to respond to customers in their local language is critical to the customer journey.

Natural Language Processing; it's Artificial Intelligence that learns words and patterns of words so that it can respond to human searches and questions. Siri and Alexa are examples of this technology. And this technology is continually improving. As more and more conversations are held with these machines, they continue to learn and respond more accurately. Machines are also in use for translations.