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Oct 12
Keynote
Scaling Globally: Empowering Hybrid and LLM-Based Chatbots with Multilingual Capabilities
With the hype around chatbots being greater than ever, companies are putting significant resources into building effective, generative AI-powered chatbots. But the process of building just one functional chatbot often turns out to require more work than expected, leading many brands to abandon altogether the effort of recreating bots in foreign languages.
In this session, Heather Shoemaker, CEO and Founder of Language I/O, and Niclas Winblad, Head of Product Management at Sky, will discuss the nuances and solutions for adapting large language models (LLMs) to create language-specific chatbots that can accurately translate domain-specific content.
11:30 - 12:00
Main Stage
Heather Morgan Shoemaker
CEO & Founder
Heather Shoemaker is the CEO of Language I/O, where she revolutionizes customer support with her innovative technology, enabling monolingual teams to excel in multilingual interactions across email, chat, and self-help channels. Formerly recognized for globalizing code for Fortune 500 companies, she also played a pivotal role as the senior director of Product Management and Globalization at eCollege, overseeing the development of a groundbreaking online education platform. Heather holds a Master’s of Science from the University of Colorado and a Bachelor of Arts in Latin American Studies from the University of Washington. Fluent in English and Spanish, she brings a global perspective to her work.
Language I/O
About
Language I/O

Language I/O is a B2B SaaS company that empowers monolingual support teams to communicate with customers in any language, all in real time and directly within the CRM the team already uses. Whether translating a conversation between a human agent and customer or one that is between a chatbot and customer, Language I/O's secure, zero-trace solution provides industry-leading, business-accurate translations. With a selection of best-in-class apps for Salesforce, Zendesk, ServiceNow, Oracle, and more, we can get enterprise organizations up and running with secure, self-improving translation technology as quickly as 24 hours.
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