January 23 to 25 2019, Santa Clara, USA.

Speaker "Patrick Perrin" Details

Name :
patrick perrin
Company :
Title :
Chief Scientist
Topic :

How AI improves human conversations in messaging

Abstract :

There are moments in life where texting is the only viable way to convey our feelings. Take, for example, when you got an offer from your dream job – what would be the first thing you’d do? Email your family and friends, or post it on social media? Or simply text them, “I GOT THE JOB”? Messaging has become the primary medium for sharing information, thoughts, and feelings. Just look at the numbers: 72 trillion messages were sent in 2017 alone, surpassing YouTube video views (1.8 trillion), Google searches (1.6 trillion), and Facebook updates (243.8 billion) combined. Through advancements in machine learning and natural language understanding, the next generation of conversational AI will be armed with a human understanding of its users and the context of our conversations. As a result, our messaging conversations will look a lot closer to personal interactions, which are rich in context and emotional expressions. Soon, innovations brought by AI will fundamentally transform the way we interact with one another digitally, where messaging becomes the primary platform for sharing information, thoughts, and feelings.

Profile :
Patrick Perrin, Ph.D., is Chief Scientist, Head of AI and Research at Emogi, a content engine for communication services that helps people have better conversations whether they’re texting on a chat app, commenting on a post, or sending a video to friends. Patrick leads research in contextual conversational AI, advancing Emogi’s intelligence on messaging and chat platforms. This research will further improve Emogi’s capabilities to serve up relevant and expressive content at the perfect moment – paving the way for enriched conversations and ultimately, a transformation in the way people communicate with one another. Patrick brings over 15 years of experience in AI research and development, data analysis, and algorithm development. Previously, he held senior technology roles at companies like Eyeview, Complete Discovery Source, Nuance Communications, Merck Research Labs, and DoD Cognitive Labs. Patrick received his Ph.D. in Computer Science from Tulane University, while conducting research for NASA.
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