LangOps is a cross-functional and multidisciplinary approach to managing multilingual data and knowledge. LangOps enables companies to understand and communicate with their global customer base by owning and utilising their linguistic assets.
A key challenge in LangOps is formalising enterprise-specific knowledge, which is critical for AI applications. KGs offer the solution by semantic linking of concepts across languages, enabling businesses to capture and store knowledge in a structured and organised manner.

Machine Learning is essential for delivering NLP and AI capabilities. By combining KGs and ML, businesses can elevate language to meaning, thus providing the unified semantics necessary for customer-facing activities in multiple languages. This approach not only enhances communication with customers but also offers businesses the opportunity to leverage their language assets effectively for the tools which deliver a competitive advantage in today's global marketplace, such as:

  • Multilingual chatbots
  • Cross-language semantic search
  • Multilingual sentiment analysis
  • Multilingual voice assistants
  • Text analytics
  • Generative AI
  • Language Factories.

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