Chatbots, et si on passait la seconde ?

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CHATBOTS si on passait la seconde ?

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@manekinekko @glaforge Wassim Chegham Guillaume Laforge

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- Git - Shell - Node + NPM - Code Editor - Firebase + Github Accounts Requirements

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87% of US B2C marketers believe chatbots and virtual assistants will play a significant marketing role —eMarketer 33% of US internet users will use voice assistants —eMarketer >85% of customer interactions will be managed without a human —Gartner Conversational experiences are the future By 2019 By 2020 By 2021

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3 huge opportunities in this space Getting things done Customer support Transactions

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Answer FAQs Troubleshoot issues Resolve payment issue Confirm payment Show order status Change user settings Retrieve reservations or bookings Provide login or password help Help customers instantly Manage refunds/exchanges

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Make transactions fast and seamless Book flights Schedule rides Purchase products Buy tickets Order food Send order updates Purchase subscriptions Book appointments or reservations Recommend other goods or services

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Delight customers in fun and useful ways Start car Learn new things Turn on lights Lock house Play games Get directions Recommend recipes Suggest workout Play music, video, news, podcast

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An end-to-end developer platform for building natural and rich conversational experiences

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40 pre-built agents and small talk features Go-to-market in hours or days Start training with only a few examples Build faster

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High accuracy intent recognition, context awareness, slot filling Advanced natural language understanding and machine learning Training and analytics across platforms Engage efficiently

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32 platform integrations and SDKs Build once, deploy everywhere 18+ languages Maximize reach

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is also a channel for Google Assistant

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Life of a conversation “Ok Google, talk to Air France” Invoke “Air France” action “Hi! Would you like to book a trip?” Speech to Text “Yes, I’d like to fly from Paris to SFO tomorrow” Text to Speech “Sure, here’s Air France” Speech to Text, NLP, Knowledge Graph, ML Ranking, User Profile Text to Speech “I found one flight, AF84, tomorrow at 10:10am”

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Confidential & Proprietary Chatbot concepts INTENT → “search-flight” ENTITY → “Paris”, “SFO”, “tomorrow” Flights from Paris to SFO tomorrow? I found one flight: AF84. Want to know more?

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Confidential & Proprietary Chatbot concepts At what time does it leave? A natural conversation that learns from past exchanges CONTEXT → remember the details of the conversation Air France flight 84 departs at 10:10am FULFILLMENT → Call some business logic on a remote URL

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An end-to-end developer platform for building natural and rich conversational experiences Demo