Georg Ell, CEO of Phrase, returns to SlatorPod for the second time to discuss the rapid adoption of generative technologies and AI in business. He highlights the growing demand for language technology due to its cost-effectiveness, return on investment, and quick time-to-value benefits. These technologies go beyond just improving translation quality; they also enable hyperautomation, hyperpersonalization, and ultimately, hyperscale.
Georg emphasizes that there is still a need for enterprise-grade solutions that can generate multilingual content at scale. He points to recent product launches by Phrase, such as Next GenMT, which combines GPT 4o with Phrase’s MT engine to improve translation quality and efficiency. Another innovation discussed is Auto LQA (Language Quality Assessment), an AI-driven solution that supports linguists rather than replacing them, leading to significant reductions in costs and time spent on quality assessment.
Georg also talks about Phrase’s strategic shift towards becoming a platform-oriented company. The company has updated its pricing model to allow customers access to a wide range of capabilities. He highlights Phrase’s partnerships with major LSPs and their ecosystem-first approach, which prioritizes collaboration and growth within the industry.
In conclusion, Georg discusses how generative technologies and AI are transforming the language industry and how businesses are turning to language technology for its cost effectiveness and ROI benefits. Subscribe to SlatorPod on platforms like Youtube, Apple Podcasts, Spotify, Google Podcasts, and more for the latest insights on language technology advancements.
