Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY

Schedule: User interface and experience sessions

Implementing AI technology is not enough when building an AI-powered product. These sessions demonstrate how to design AI products with users and their workflows in mind.

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9:00am12:30pm Tuesday, June 27, 2017
Interacting with AI
Location: Beekman Level: Intermediate
Galiya Warrier (Microsoft), Gary Short (Microsoft)
In this 3 hour tutorial we will teach you how to create a quantitative graph model from qualitative written information. We will then go on to show you how to put a conversational front-end onto this using the Microsoft Bot Framework. A step-by-step lab will be provided for you to work through this tutorial. Read more.
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1:45pm2:25pm Wednesday, June 28, 2017
Interacting with AI
Location: Murray Hill E/W Level: Beginner
Anmol Jagetia (Media.Net)
In this talk we will cover the use of OpenAi's, Gym and Universe which can interact with external computer programs like games etc and design bots that can learn to defeat the game or become extremely smart using Reinforcement Learning. This talk aims at introducing beginners to AI and Machine Learning in a fun and interesting way, by designing bots that can play their favourite retro games! Read more.
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2:35pm3:15pm Wednesday, June 28, 2017
Interacting with AI
Location: Sutton South/Regent Parlor Level: Beginner
Yishay Carmiel (Spoken Communications)
In 2017 there is no doubt conversational AI has gained a quantum leap in performance due to Deep Learning. From Speech Recognition to Machine Translation and Language Understanding Deep Learning made it's mark. However one of the big challenges remains how to scale and productize these breakthroughs, In this session we will give a review the challenges for the present and future. Read more.
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2:35pm3:15pm Wednesday, June 28, 2017
Impact of AI on business and society
Location: Beekman Level: Beginner
Ben Medlock (Microsoft/SwiftKey)
In this session, Dr. Ben Medlock of SwiftKey (and now Microsoft) will talk about the future of AI and why the possibilities are endless - and not at all frightening. He will also give key insights into how the mobile industry and beyond can better understand and support this massive worldwide movement. Read more.
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2:35pm3:15pm Wednesday, June 28, 2017
Verticals and applications
Location: Grand Ballroom West Level: Non-technical
Rana el Kaliouby (Affectiva)
Our interactions with technology is becoming conversational and perceptual. Emotion AI is a branch of artificial intelligence that brings emotional intelligence to these interfaces and AI systems. This talk will review the state of Emotion AI, the commercial applications as well as the underlying deep learning methods and research roadmap such as multi-modal emotion recognition and emotion chip. Read more.
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4:50pm5:30pm Wednesday, June 28, 2017
Interacting with AI
Location: Murray Hill E/W Level: Intermediate
Brad Abrams (Google)
By building ‘Actions on Google’, developers can reach Google Assistant users and deliver custom experiences, services and information. In this talk, we'll describe the key components of Actions on Google, show you how to build your first action using tools such as API.AI, and explore VUI best practices in order to design compelling conversational experiences. Read more.
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4:00pm4:40pm Thursday, June 29, 2017
Implementing AI
Location: Gramercy East/West Level: Intermediate
Jan Neumann (Comcast), Ferhan Ture (Comcast), Oliver Jojic (Comcast)
AI plays an essential role in creating the Comcast X1 entertainment experience and how millions of our customers access their content on the TV. In this talk we will explain how AI enables us to understand what you are looking for when you talk to the X1 voice remote and how we scaled the voice interface to answer millions of voice queries every single night. Read more.
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4:50pm5:30pm Thursday, June 29, 2017
Interacting with AI
Location: Murray Hill E/W Level: Intermediate
Rupert Steffner (WUNDERAI GmbH)
According to market research 70% of consumers do NOT feel that online offers resonate with their personal interests and needs. With cognitive AI there’s a way to create Deep Shopping bots based on true personal relevance. This shift in the shopping paradigm is built upon Deep Symbolic Reinforcement Learning, the Psychometry of Shopping, a new breed of playful UI and cognified Product metadata. Read more.