Georg Ell, CEO of Phrase, returns to SlatorPod to discuss the growing adoption of generative technologies and AI. The conversation explores the broader implications of AI and how business leaders are placing greater emphasis on language technology due to its cost savings, return on investment, and quick time-to-value benefits. Georg emphasizes that these technologies go beyond simply improving translation quality; they also enable hyperautomation, hyperpersonalization, and ultimately, hyperscale.
Georg talks about the continued demand for enterprise-grade technology that can generate multilingual content at scale. He highlights the importance of robust, high-quality solutions in the market. The podcast also covers new product launches from Phrase, such as Next GenMT, a combination of GPT 4o and Phrase’s MT engine that improves translation quality and efficiency. Additionally, Auto LQA (Language Quality Assessment) is introduced as an AI-driven solution that helps linguists in their work and leads to significant cost and time savings in quality assessment processes.
Phrase’s strategic shift towards becoming a platform-focused company rather than product-centric is a key topic of conversation. The updated pricing model allows customers to access a wide range of capabilities through the platform. Georg wraps up the interview by discussing Phrase’s partnerships with major LSPs and its ecosystem-first approach, emphasizing collaboration and cooperation within the industry.
In summary, Georg Ell discusses how generative technologies and AI are increasingly being adopted by businesses due to their cost savings, return on investment, and quick time-to-value benefits. He highlights how these technologies go beyond simply improving translation quality but also enable hyperautomation
