How to Develop Scalable Multilingual Conversational AI Applications Quick & Easy

Presented by

Tim Bartz

About this talk

Enterprises are faced with the challenge of creating global conversational solutions that can engage customers in many languages all over the world and still understand them effortlessly. This may sound like a huge task – but it doesn’t need to be. In this webinar, Tim Bartz, Presales Consultant at Artificial Solutions, will demonstrate how Teneo’s unique approach makes creating global solutions in multiple languages easy and fast to scale – saving time and resources. Learn how Teneo uses a master language solution to quickly develop and scale to other languages. Develop once, deploy across many – no need to begin from scratch for each additional language. Everything you see in this demo can be tested and created by you for free on Teneo Developers.

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Artificial Solutions® is the leading specialist in enterprise-strength Conversational AI, a form of Artificial Intelligence that allows people to communicate with applications, websites and devices in everyday, humanlike natural language via voice, text, touch or gesture input. Designed for the global enterprise, the company’s advanced conversational AI platform, Teneo®, allows business users and developers to collaborate on creating sophisticated, highly intelligent applications that run across 86 languages, multiple platforms and channels in record time. The ability to analyze and make use of the enormous quantities of conversational data is fully integrated within Teneo, delivering unprecedented levels of insight that reveal what customers are truly thinking. Artificial Solutions’ conversational AI technology makes it easy to implement a wide range of natural language applications such as virtual assistants, chatbots, speech-based conversational UIs for smart devices and more. It is already used daily by millions of people across hundreds of private and public sector deployments worldwide. For more information visit www.artificial-solutions.com