LANGUAGE INTELLIGENCE 2024
Driving Business Value Via Multilingual AI

will take place in Vienna on 19-20 November 2024

[RESPOND to our Call for Speakers]
[DOWNLOAD our Sponsoring Pack]
[GET IN TOUCH with our Team regarding questions, requests and bookings]
[LINKEDIN PAGE]
[LI2023 Programme - LI2022 Programme]

The LANGUAGE INTELLIGENCE conference showcases how the latest linguistic AI applications can help you to:

  • leverage your content derived from people, processes and technologies;
  • transform and valorise it into actionable assets; and
  • make it effectively contribute to your organisational goals and/or business processes.

The conference offers participants a carefully selected and high level audience with which to interact. Leading-edge technologists mixing with big business users & brand names from various application markets, market analysts and research luminaries offer a unique networking experience. It is the ideal meeting point to learn, exchange, network, forge new partnerships, find new clients and get tuned to our multilingual intelligent future.

LI2024 takes place in the premises of the Austrian Parliament, one of the most prestigious locations in the city centre of Vienna.

What is LANGUAGE INTELLIGENCE?

LANGUAGE INTELLIGENCE is the ability to process language effectively and proficiently in various contexts and relevant quality levels, in order to understand, interpret, and produce spoken and written language. LANGUAGE INTELLIGENCE involves the capacity to comprehend, express and convey ideas, emotions, and information with nuance, clarity, and the necessary cultural sensitivity. It extends beyond mere linguistic competence to include social, emotional and functional aspects of communication. Today, LANGUAGE INTELLIGENCE is strongly associated with artificial intelligence (AI) and natural language processing (NLP). LANGUAGE INTELLIGENCE is crucial not only in the development but also in the secure, accurate and trustworthy usage of advanced AI applications. It plays a key role in improving user and customer experiences by enabling more linguistically natural, contextually relevant and culturally appropriate interactions between humans and machines.

[Read more]

Who should attend?   

  • Industry Professionals: Professionals from various industries, including marketing, customer service, product management, data science and user experience, who want to explore how language intelligence can enhance their content, products and services.
  • Start-ups, Scale-ups and Entrepreneurs: Individuals and organisations looking for innovative applications of language intelligence in new products or services.
  • Artificial Intelligence (AI) and Machine Learning (ML) Practitioners: Those who are involved in the development and implementation of AI and ML algorithms related to language processing, understanding, and generation.
  • Leaders and Decision Makers: Those who are in charge of strategic initiatives to ensure AI awareness and readiness prior to delivering effectiveness with AI implementation and adoption boosting language intelligence.
  • Policy Makers and Ethicists: Individuals interested in policy considerations and ethical implications surrounding the development and deployment of language intelligence technologies.
  • Linguists and Language Researchers: Professionals in the field of linguistics, computer science, AI, data science and related fields who want to stay updated on the latest advancements and research in language intelligence.
  • Natural Language Processing (NLP) Specialists: Practitioners working on developing and applying computational and foundational models for understanding and generating human language.
  • Data Scientists: Individuals working with large datasets, especially those containing language data, and interested in extracting insights or building models for language-related tasks.
  • Software Developers: Those creating applications and tools that involve language processing, such as chatbots, virtual assistants, language translation services, content management systems, etc.
  • Academics: Those creating and delivering educational programs in universities which highlight the importance of language intelligence in content strategies, operations and technology ecosystems.