RWS's AI-Human Hybrid Localization Model Delivers 212% ROI
Event summary
- RWS's AI-powered language technology combined with expert linguistic services achieved a 212% modeled 3-year ROI, per a Forrester Consulting study.
- The composite organization in the study realized $21.7 million in benefits over three years, with costs of $6.9 million.
- The solution integrates Trados Enterprise, Language Weaver, and expert linguistic services to automate multilingual content management.
- The study modeled a three-year journey with increasing automation, expanding to 32 languages by Year 3.
- Ben Faes, CEO of RWS, highlighted the shift from viewing localization as a cost center to a value-creating function.
The big picture
RWS's study underscores a broader industry shift towards integrating AI with human expertise to optimize localization processes. The 212% ROI highlights the financial benefits of reducing translation costs, accelerating international launches, and improving project management efficiency. This trend is particularly relevant for global technology companies looking to expand their multilingual content operations efficiently.
What we're watching
- Adoption Pace
- How quickly other enterprises will adopt RWS's hybrid model given the demonstrated ROI.
- Competitive Response
- Whether competitors will introduce similar AI-human hybrid solutions to challenge RWS's offering.
- Scalability
- The extent to which RWS can scale this solution across different industries and language markets.
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