One of the biggest drawbacks of only using machine learning to build conversational AI applications is the staggeringly large amounts of data required to understand humans. What comes naturally to us, the relationships between words, phrases, sentences, synonyms, lexical entities, concepts etc., must be learned by a machine. For enterprises that don’t have a significant amount of relative and categorized data readily available, this is a costly and time-consuming part of building conversational AI applications.
Teneo Languages allow enterprises to teach new conversational applications all the possible language permutations in a matter of moments. Our Teneo NLU Ontology and Semantic Network, map the very structure of language itself, removing one of the most costly and time-consuming parts of building conversational AI applications — teaching a machine to understand human language. Therefore, the user simply enters a few representative queries, and Teneo Languages will enable the application to learn all the different ways a user might ask the same exact question.
Because Teneo is available in over 80 languages, you can deliver geo-specific conversational AI applications with the feel of a consistent global brand. Teneo Languages enable the application to ‘think’ in your native tongue, while delivering the same linguistic sophistication across every other language required. Our technology allows enterprises to share the core knowledge across all deployments whilst retaining the ability to adapt local implementations for different business processes.
Being able to pursue CAI Development in 86 languages is already an advantage but making the process easier and faster is a game changer.
This is where our Teneo Linguistic Modeling Language comes in; our proprietary syntax language enables non-linguist developers to skip several steps in a typical build process. This unique and powerful modeling language automatically applies language conditions such as understanding when the word book is used as a noun or verb in a sentence, recognizing sentiment or providing a safety net to further ensure a humanlike conversational experience in the final product.
Developers can also use our conversational modules, which deliver pre-built integrations.
Gartner, the lead research and advisory firm on emerging technologies, has some answers. In their “Guidance Framework for Evaluating Conversational AI Platforms” (2020) they offered a detailed step-by-step framework for successful CAI implementations, breaking down the main aspects for enterprises to watch for while looking for vendors.
What is the value of prebuilt integrations?
According to Gartner, 92% of the Virtual Customer Assistant implementations are to be integrated with some shape or form of an enterprise application. Teneo offers prebuilt connectors with enterprise systems through both cloud and on-premise APIs. Teneo connectors allow developers to expose their applications via different channels (web, voice, IVR, mobile, social media platforms, etc.), as well as integrate with backend systems of different types (live chat systems, call centers, CRMs, CMS, RPA providers, ticketing and issue tracking systems. All vital for CAI Development.