Over 400 registered participants joined the tenth edition of SlatorCon Remote to discuss how the language industry can incorporate the rapid advances in large language models in production.
Interest in machine voice is at an all-time high. Here, we present a use case for speech technologies scaling multilingual content creation in global launch cycles.
At SlatorCon Remote December 2022, Konstantin Savenkov, CEO at Intento, on machine translation bottlenecks, value drivers, ROI, and the future of the global language market.
At SlatorCon December 2022, language industry leaders share this consensus: Companies that successfully adapt to the volatile business environment through AI will thrive in 2023.
Preview of what to expect at Intento’s Machine Translation Playbook Webinar on December 13, 2022. Nike, Stripe, GAP, AstraZeneca, NetApp share biggest takeaways from 2022; 2023 plans.
Intento CEO, Konstantin Savenkov, on improving best-of-breed custom machine translation platforms through automated post-editing features, and the state of machine translation.
Intento and e2f's State of Machine Translation Report 2022 is now available for download
What does Google’s 540-billion parameter language model, PaLM, mean for machine learning and the language industry? Experts weigh in.
On the Intento panel at SlatorCon Remote March 2022, four experienced localization managers discuss the evolving role of the localization manager.
Conversation between Subway Globalization Services Manager, Carrie Fischer, and Intento CEO, Konstantin Savenkov, at SlatorCon Remote December 2021 on MT use-cases in the restaurant industry.
The Intento Translator Verint Community integration provides instant translation to community and forum users across the globe.Â
Intento's 2021 State of Machine Translation allows you to choose the best-fit MT engines for your language pair and industry sector.
Language technology experts from e2f, Intento, and Coreon / ESTeam talk about how AI is transforming content generation, opening up new possibilities for localizing content.
How DeepL outmaneuvered big tech, won a following, and is now rapidly moving into machine translation as a managed service for enterprise customers.
Currently at the onset of a language industry supercycle, clients and LSPs trade localization strategies and recall journeys to maturity at SlatorCon Remote.
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