Bringing the language technology world and AI together
AI allows us to create virtual companions that can speak our language, any language, as well as humans. This is a technology breakthrough that shakes up the world. It can make businesses and governments a hundred times more efficient and it creates thousands of opportunities for innovation. If only we start thinking and operating truly and massively multilingual.
02 - 04 October 2024
Albuquerque, NM (USA)
Program
Registration
Note: this is not the final program. Speakers and topics may change. Updates will be published on this web page.
1. No English Please - How to move towards truly multilingual AI
The AI Labs Leaders Perspective
Execs from AI Labs discuss the challenges and opportunities of massively multilingual models and applications.
Focus of the discussions:
Removing English bias
Access to high-quality, non-public, relevant multilingual data
Business applications, specifically for localization, customer support, multilingual content creation
Convergence between AI and the language industry
Speakers from among others Mozilla AI, Amazon.
2. Farewell MT - Welcome AI
The immersion of MT into AI
Leaders from the world of MT are the patriarchs of AI. In this session they discuss the transformation in their programs as a result of the remarkable success of Large Language Models.
Focus of the discussions:
The shifts in the world of MT
Quality and customization
The perils of ‘human parity’
MT and the changing translation technology stack
Speakers from among others Microsoft, Lilt, Translated.
3. GenAI Visions: looking one or two years ahead
The AI ‘guru’ perspective
AI gurus from big and small tech companies debate the future of GenAI and the size of their models.
Focus of the discussions:
Large versus small language models
Data needs
Social impacts
Use cases
Industry trends and predictions
Speakers from among others: Nvidia, Google, Johns Hopkins University.
4. Showcasing a revolution in multilingual content
The innovator perspective
The convergence of Language Technology and AI leads to a myriad of new product features and services that revolutionize our daily work.
Focus of the discussions:
Multilingual content creation vs. localization
NLP features
Showcases
Business benefits
Speakers from among others: RWS, Translated, Blackbird, BureauWorks.
5. Questioning Quality and Evaluating LLMs
The quality ‘gate-keeper’ perspective
How do we trust and manage the quality of content in a hyper-automated world.
Focus of the discussions:
Automatic Post-editing
Quality Estimation
Human in the loop
Evaluating LLMs
Speakers from among others: Lexicala, Modelfront, CustomMT, TAUS.
6. AI in the Age of Humans
Blue-sky thinking session, beyond the hype and fear
Turning the tables and looking at it from the AI perspective.
Focus of the discussions:
Scenario-based planning
Scaling localization to unprecedented levels
Automating decision making
‘No language left behind’
7. The Massively Multilingual Enterprise
The corporate ‘globalization’ perspective
Globalization leaders and CTOs have no other choice than embracing AI. How do they go about it and what is it going to bring them in return? Should translation buyers own their workflows and get their AI independent of the TMS and LSP?
Focus of the discussions:
The AI enterprise journey
New applications, roadmap, successes and failures
Changing landscape
ROI and business dynamics
Speakers from among others: Dell, Yahoo!, Amazon, airbnb.
8. TAUS Massively Multilingual Contest
Fast-pace innovators competition: LSPs and start-ups
Around 15 LSPs and start-ups will be selected to pitch their AI solution in six minutes. The audience will choose the winner of the TAUS Massively Multilingual Contest.