Defining a Data-driven Machine Translation Strategy to Deliver Business Value

2021 has been one of the most influential years for machine translation and related technologies. New stock models and developments in speech technologies have progressed exponentially, raising the need for customization within Enterprise. We will discuss available options for stock models and how companies should handle specific cases where customization is unavailable (chatbots, live chats) based on data from Intento’s State of Machine Translation Report 2021. We’ll also explore how this data can be helpful for Small and Medium-sized Entreprises with limited resources for customization.How should you build your MT strategy to gain momentum in your organization? What should be your priorities to take and keep a value-based approach with MT? How can you find your way in the MT world to make the best decisions? Why is it crucial to use data and identify trends to define SMART goals and objectives with your investment in MT?

Bruno Herrmann, member of the Board of Advisors @ LT-Innovate, moderated the discussion with Janice Campbell, Senior Program Manager Machine Translation Program, Adobe; Yulia Akhulkova, Nimdzi Insights; Michel Lopez, CEO, e2f and Konstantin Savenkov, co-Founder and CEO, Intento.

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