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

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Speakers

Confirmed speakers include:

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Nikola Mrksic

Machine Learning Researcher

University of Cambridge

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Yariv Adan

Product Lead

Google Assistant

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Vijay Ramakrishnan

ML Researcher

Mindmeld

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Anne Hsu

Assistant Professor

University of London

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Adi Chhabra

Senior Product Manager - Artificial Intelligence

Vodafone

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Alex Fawcett

Product Manager, Bots & AI

Sage

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Gregor Jarisch

Chatbot Lead Developer

Differ

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Alan Nichol

CTO & Co-Founder

Rasa

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Aakrit Vaish

Co-Founder & CEO

Haptik

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Alberto Chierici

Co-Founder

SPIXII

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Ken Yeung

Co-Founder

Clare.AI

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Uri Itai

Data Scientist

Knowmail

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Peter Davies

Founder

Verv Energy

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Fabien Ringeval

Assistant Professor

University of Grenoble Alpes

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Chelsea Chen

Co-Founder

Emotech

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Simmy Grover

Chief Science Officer

Unmind

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Ludwig Bull

Managing Director

Elexirr

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Christophe Bourguignat

Co-Founder, CEO

Zelros

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Davide Testuggine

Applied Research Scientist

Facebook, USA

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Mirco Musolesi

Reader in Data Science

UCL

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Ovidiu Șerban

Research Associate

Imperial College London

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Rob McInerney

Founder & CEO

Intelligent Layer

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Andrew McStay

Professor of Digital Life

Bangor University

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Ling Zhang

Software Engineer

Aiden.ai

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Abhinav Mehrotra

Research Associate

University College London

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Huma Shah

Sr Lecturer in AI

Coventry University

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Jonathan Godwin

Product Manager

Bloomsbury.ai

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“MindMeld lets someone deploy an AI-powered conversational interface from start to finish,” Alexander Rosen, a partner at IDG Ventures told me in an interview. “Not many people outside of Amazon and Google have that.”

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Despite the hype, there is a lot of work to be done before we can build conversational software. For now, it’s an ugly marriage of bits of AI which “kind of” work and lots of hand coding. These are some notes about what interesting conversational software would look like, and what techniques we’ll need to build it.

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SPIXII wants to make your life easy, simple, transparent and more human. Not things you’d usually associate with insurance. Even a whiff of insurance is enough to send most people running: memories of filling out long, tedious forms or being up-sold by smarmy salespeople because you ‘definitely’ need a policy to cover you against killer bees or surprise volcanos.

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In 2017 we will see further use of such technology by businesses like banks, insurance companies and retail firms. But it will take a few more years before it becomes mainstream,” said Ken Yeung

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In recent years we have seen an accelerated increase in technology innovation, which has pushed the envelope of what is possible. With Healthcare being one of the largest industries, it goes to reason that this area is ripe for disruption in a way that will change our everyday lives.

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There’s nothing definitively wrong with technology that interacts with emotions. The question is whether they can be shaped to serve, enhance and entertain, rather than exploit. And given that survey respondents of all ages are rightfully wary, it’s a question that the people should be involved in answering.

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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 150+ industry innovators sharing best practices to advance the predictive intelligence software.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Developers
  • Entrepreneurs
  • CTOs
  • CEOs
  • Investors
Speechbubbles

Join the discussion

  • Co-located with the Deep Learning Summit
  • 30 speakers
  • 150+ leading data scientists & innovators
  • Keynote Presentations
  • Panel Discussions
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

Neural Networks
Neural Networks
Deep Learning
Deep Learning
Predictive Intelligence
Predictive Intelligence
Data Mining
Data Mining
Voice Recognition
Voice Recognition
NLP
NLP
Anticipatory Computing
Anticipatory Computing
Natural Language Understanding
Natural Language Understanding
AI Assistants
AI Assistants
Speech Recognition
Speech Recognition
Chatbots
Chatbots
Deep Learning Algorithms
Deep Learning Algorithms

Attending companies

volkswagen
nokia
Sage
Arla Foods
Samsung
renault
Dixons Carphone
Gupshup
kwik fit
rakuten ventures
ING
Arcus Global

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