Edition #1: Diving into the TAUS Albuquerque Program

It feels like we just wrapped up our exciting conference in Rome, where we started to unite the language industry, AI labs, and enterprises to explore how AI integrates into real-world business. If you missed it, read more about the Rome Conference here .

But now we are already working hard on #TAUSABQ2024 where we are bringing together diverse voices and pioneering minds to push the boundaries of AI and language once again.

Event Program Summary

Our Albuquerque conference on 2-4 October will feature a diverse lineup of speakers and topics addressing the latest trends, challenges and opportunities in the AI and language technology industry.?

Here’s what you can expect:

• No English Please - How to Move Towards Truly Multilingual AI: Keynote by Kalika Bali ( 微软 ) with insights from 亚马逊 , Cohere , and Toloka on bias removal and multilingual content creation, moderated by Julie Beli?o from Mozilla.ai .
• The Immersion of MT into AI: Leaders from 微软 , LILT , DeepL , and 谷歌 discuss MT in the era of Large Language Models, moderated by John Tinsley ( Translated ).
• GenAI Visions: Looking One or Two Years Ahead: Visionaries like Jonathan Cohen ( 英伟达 ), Hadar Shemtov ( 谷歌 ), and Philipp Koehn ( The Johns Hopkins University ) explore the future of GenAI and language models, moderated by Zachary Haynes ( TAUS ).
• Showcasing a Revolution in Multilingual Content: Demonstrations of innovative Language Technology and AI products and services.
• Industry in Transformation:? Insights from LanguageLine Solutions UK Recruitment , Acolad group , and RWS Group on adapting to AI, moderated by Jaap Van Der Meer ( TAUS ) and Jose Palomares ( Coupa Software ).
• Questioning Quality and Evaluating LLMs: Experts discuss managing content quality in an automated world, featuring Konstantin Savenkov ( Intento, Inc. ), Adam Bittlingmayer ModelFront , Alex Yanishevsky ( Smartling ), and Ilan Kernerman Lexicala by K Dictionaries , moderated by Christian Federmann .
• AI in the Age of Humans: Perspectives on scaling localization and decision-making from Unbabel , Sorenson Communications , Straker , 亚马逊 , moderated by Marina Pantcheva, PhD ( RWS Group ).
• The Massively Multilingual Enterprise: Globalization leaders share AI integration journeys, featuring Georg Kirchner ( Dell Technologies ), Marina Malkevich ( 雅虎 ), Salvatore Giammarresi ( Airbnb ), Adam Youngfield ( The Church of Jesus Christ of Latter-day Saints ), moderated by Teresa Marshall ( Salesforce ).
• TAUS Massively Multilingual Contest: Fast-paced competition where LSPs and start-ups pitch AI solutions, hosted by Anne-Maj van der Meer ( TAUS ). Submit your proposal here!

Read the whole program here.

Massively Multilingual Contest

TAUS is proud to host the Massively Multilingual Contest, an iconic competition that puts the spotlight on the innovators and disruptors for the global language industry.

In Rome, Oscar Martinez Diaz ( Loc&Capture Media Services ) took home the Innovator 2024 Award, out of 9 contestants. Read more on his insights here and catch up on all the contestants' presentations in our webinar recording .

Now, again, we welcome established localization and language technology providers, startups, and AI/technology innovators developing solutions to enhance multilingual capabilities through AI to share your innovative ideas with us!

Submit your proposal here for a chance to pitch your solution on stage, compete for the prestigious TAUS Massively Multilingual Award, and gain industry recognition that can propel your business forward!

Early Bird Register

Don’t miss out and register now for the early bird fee and secure your spot at TAUS Massively Multilingual AI Conference in Albuquerque on 2-4 October! Early bird fee available until the end of this month (31 July).

Stay tuned for more updates and follow us on LinkedIn and X , and subscribe to our newsletter for weekly event updates.

We look forward to seeing you in Albuquerque and continuing our journey of innovation and excellence in the translation industry.