DIY or buy: Quantifying the shadow costs of self-made AI translation solutions
- Presentation
- Globalization and Localization
-
Marion Randelshofer
- World Translation A/S
-
Per Harbo Sørensen
- World Translation A/S
Contents
As generative AI lowers the entry barrier for automated translation, a growing number of enterprises are moving away from established workflows with language-service providers toward self-made AI solutions and in-house translation pipelines. Driven by the promise of drastic cost reduction, these initiatives often suffer from "Total Cost of Ownership" (TCO) myopia.
This presentation pulls back the curtain on the shadow costs of DIY AI translation.
We will explore the hidden financial and operational burdens often omitted from initial ROI projections, including the high labour of ensuring terminology precision, the difficulty of cross-departmental consistency, the logistical complexity of large-scale data curation, and the significant resource drain of "human-in-the-loop" verification.
Takeaways
Learn how to move beyond simple cost-per-word metrics to a comprehensive evaluation model of the “build vs buy” dilemma, and how to find out when to build, when to buy, and when to partner.
Prior knowledge
Basic knowledge of translation and technical communication workflows.
Speakers
Biography
Biography