Applying ML & deep learning to create AI Assistants & conversational interfaces to create deeper, more personalised one-to-one customer experiences.

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Thanks to SSML, or speech synthesis markup language, Alexa developers can already make an Amazon Echo or other voice-controlled device whisper, or speak faster or slower, or speak with a super-cheery voice. And Alexa’s users can change her speaking style to British English, or German, or Japanese.

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The MIT AgeLab, which is part of the Center for Transportation and Logistics at MIT, is looking for Tesla drivers to participate in a new research initiative that “analyzes advanced vehicle technology use in real-world scenarios.”

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Uber AI have developed the Plato Research Dialogue System, a platform for building, training, and deploying conversational AI agents that allows us to conduct state of the art research in conversational AI and quickly create prototypes and demonstration systems, as well as facilitate conversational data collection.

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Rushin Shah left his post as a senior machine learning manager on Apple’s virtual assistant to join Facebook’s Applied Machine Learning team, where he’ll be working on natural language and dialog understanding.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in AI assistants and artificial intelligence from the world's leading innovators. Learn from industry experts in predictive intelligence, voice recognition and data mining. Explore how AI Assistants will impact business including communications, healthcare & industry.

Tech

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in AI Assistants & their impact. What impact will predictive intelligence have on business efficiency & personal organization? Learn the latest technological advancements & industry trends from a global line-up of experts.

Network

Expand Your Network

A unique opportunity to interact with business leaders, influential technologists, data scientists & entrepreneurs creating next-generation AI assistants. Learn from & connect with 200+ industry innovators sharing best practices to advance the predictive intelligence software.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Developers
  • Entrepreneurs
  • CTOs
  • CEOs
  • Investors
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Join the discussion

  • 90 speakers
  • 600 leading data scientists & innovators
  • Keynote Presentations
  • Panel Discussions
  • 12 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
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Topics we cover

Neural Networks
Neural Networks
Deep Learning
Deep Learning
Predictive Intelligence
Predictive Intelligence
Voice Recognition
Voice Recognition
Anticipatory Computing
Anticipatory Computing
Natural Language Understanding
Natural Language Understanding
Speech Recognition
Speech Recognition
Chatbots
Chatbots

REGULAR ATTENDEES INCLUDE:

Amazon
Apple
fluential
revana
Autodesk1
Microsoft
HP
Google
Fujitsu
Slack
RBC
booking.com
aviva
dhl
liveperson
Capital One
GSK
facebook
Vodafone
IBM
Cisco
Airbus

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