DeepL Survey: AI-Based Translator Supports The Acceleration Of Language Localization

The company needs an AI-based translator service (photo: dock. DeepL)

JAKARTA "Translation services are often used by the public, even by business people around the world. The role of this service is quite important based on the results of a survey conducted by DeepL some time ago.

DeepL, an Artificial Intelligence (AI)-based translator service, released a report on the influence of language localization on increasing Return of Investment (ROI). In the report, it was recorded that ROI could triple.

DeepL Founder and CEO, Jarek Kutylowski, said that the Report on the Situation of Translator and Localization shows great opportunities behind the use of AI. The use of this technology can benefit small and large companies.

Global-scale business success is highly dependent on marketing content relevant to local consumers and the marketing team's awareness of the huge potential for the use of AI-based translation, said Kutylowski.

This relationship between language localization and increasing ROI occurs because of people's habits. Currently, consumers are more critical in choosing a product to understand the content, manufacturing process, and material from marketing.

To observe these three things, people tend to choose products in local languages. Marketing personnel, in the report, admit that marketing content for local languages can increase customer engagement.

Unfortunately, the process of localizing languages is not going well easily. Marketing personnel usually require cooperation between several departments so that the process is much more complicated. What's more, if the company is on a large scale.

With the dense localization process of the language, marketing personnel need a very fast time to translate their products. Therefore, 98 percent of respondents need AI-based translator services.

The majority of the marketing staff admitted that AI-based translators were able to reduce their time and cost. As a result, the average language localization process can be cut from 20.36 hours to 14.37 hours.