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Welcome to episode #77 of the Localization Fireside Chat! In this episode, Robin Ayoub sits down with Konstantin Savenkov, the CEO of Intento, to delve into the key findings of the "State of Machine Translation 2024" report. This comprehensive discussion covers a range of topics including the advancements in machine translation (MT) and large language models (LLMs), the benefits of customization, and the challenges of real-time translation. Join us as we explore the future trends and innovations in the field of machine translation. Transcript Highlights: 00:00 - Introduction: Robin Ayub introduces Konstantin Savenkov and the main topic of the episode. 01:31 - Localization Story: Konstantin shares his journey into the localization industry and the inception of Intento. 05:22 - About Intento: Overview of Intento's evolution, services, and current focus. 10:20 - Importance of the Report: Discussion on the motivation and annual tradition of publishing the State of Machine Translation report. 12:46 - Machine Translation Landscape: Insights into the sheer number of MT providers and the reasons behind the proliferation of MT systems. 19:01 - Performance Comparison: Analysis of the comparative performance of MT systems and LLMs. 22:36 - Customization Benefits: Exploration of the benefits of customizing MT engines and LLMs for specific industries. 26:39 - Cloud vs. On-Premise: Discussion on the security, performance, and cost considerations of cloud-based vs. on-premise MT solutions. 29:11 - Real-Time Translation Challenges: Examination of the unique challenges and requirements of real-time translation applications. 35:56 - Future Trends: Predictions on the future trends in machine translation and the role of generative AI. 40:44 - Cognitive Computing: Brief exploration of cognitive computing and its potential impact on the industry. Additional Information: For more insights and to download the full "State of Machine Translation 2024" report, visit Intento's website or connect with Konstantin Savenkov on LinkedIn. Subscribe and Follow: Don't forget to subscribe to the Localization Fireside Chat for more engaging discussions and industry insights. Follow us on LinkedIn and join our WhatsApp group to stay updated with the latest content and community conversations. Contact Us: For inquiries or to join the WhatsApp group, visit our LinkedIn page: Localization Fireside Chat, and subscribe to our YouTube Channel thank you for your support. Thank You: Thank you for watching! Please like, comment, and share this video with your network. #Localization #MachineTranslation #AI #Technology #Innovation #LLMs #Customization #RealTimeTranslation #FutureTrends #Intento #KonstantinSavenkov #LocalizationFiresideChat #RobinAyub #Podcast #Interview
Welcome to episode #77 of the Localization Fireside Chat! In this episode, Robin Ayoub sits down with Konstantin Savenkov, the CEO of Intento, to delve into the key findings of the "State of Machine Translation 2024" report. This comprehensive discussion covers a range of topics including the advancements in machine translation (MT) and large language models (LLMs), the benefits of customization, and the challenges of real-time translation. Join us as we explore the future trends and innovations in the field of machine translation. Transcript Highlights: 00:00 - Introduction: Robin Ayub introduces Konstantin Savenkov and the main topic of the episode. 01:31 - Localization Story: Konstantin shares his journey into the localization industry and the inception of Intento. 05:22 - About Intento: Overview of Intento's evolution, services, and current focus. 10:20 - Importance of the Report: Discussion on the motivation and annual tradition of publishing the State of Machine Translation report. 12:46 - Machine Translation Landscape: Insights into the sheer number of MT providers and the reasons behind the proliferation of MT systems. 19:01 - Performance Comparison: Analysis of the comparative performance of MT systems and LLMs. 22:36 - Customization Benefits: Exploration of the benefits of customizing MT engines and LLMs for specific industries. 26:39 - Cloud vs. On-Premise: Discussion on the security, performance, and cost considerations of cloud-based vs. on-premise MT solutions. 29:11 - Real-Time Translation Challenges: Examination of the unique challenges and requirements of real-time translation applications. 35:56 - Future Trends: Predictions on the future trends in machine translation and the role of generative AI. 40:44 - Cognitive Computing: Brief exploration of cognitive computing and its potential impact on the industry. Additional Information: For more insights and to download the full "State of Machine Translation 2024" report, visit Intento's website or connect with Konstantin Savenkov on LinkedIn. Subscribe and Follow: Don't forget to subscribe to the Localization Fireside Chat for more engaging discussions and industry insights. Follow us on LinkedIn and join our WhatsApp group to stay updated with the latest content and community conversations. Contact Us: For inquiries or to join the WhatsApp group, visit our LinkedIn page: Localization Fireside Chat, and subscribe to our YouTube Channel thank you for your support. Thank You: Thank you for watching! Please like, comment, and share this video with your network. #Localization #MachineTranslation #AI #Technology #Innovation #LLMs #Customization #RealTimeTranslation #FutureTrends #Intento #KonstantinSavenkov #LocalizationFiresideChat #RobinAyub #Podcast #Interview
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