Where machine learning meets artificial intelligence. The rise of intelligent machines to make sense of data.

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Speakers

Confirmed speakers include:

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Aleksandr Chuklin

Software Engineer

Google Research Europe

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Dor Kedem

Data Scientist

ING Nederland

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Roland Vollgraf

Research Lead

Zalando Research

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Adam Grzywaczewski

Deep Learning Solution Architect

NVIDIA

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Panagiotis-Alexandros Bokaris

Augmented Reality Engineer

L'Oréal

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Neal Lathia

Senior Data Scientist

Skyscanner

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Christopher Bonnett

Senior Machine Learning Researcher

alpha-i

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Colin Williams

Honorary Fellow

University of Warwick

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Tijmen Blankevoort

Co-founder & CTO

Scyfer

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Appu Shaji

Head, Research & Development

EyeEm

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Sven Behnke

Head of Autonomous Intelligent Systems Group

University of Bonn

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Tanya Harris

CEO

Harrman Cyber

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Ingo Waldmann

Senior Research Scientist

UCL

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Julius Rüssmann

Analyst

Earlybird Venture Capital

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Ian Bryant

Standards Development Advisor

Trustworthy Software Foundation

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Daniel Gebler

CTO

Picnic

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Ben Scott-Robinson

Founder

The Small Robot Company

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Damian Borth

Director Deep Learning Competence Center

DFKI

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Carlos Eduardo Espinal

Partner

Seedcamp

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Peter Tegelaar

Chief Data Scientist

Catawiki

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Mihai Rotaru

Head of Research and Development

Textkernel

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Matthew Bradley

Investor

Forward Partners

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Laith Alkurdi

Senior Machine Learning Engineer

Freeletics

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Vahid Moosavi

Postdoctoral Researcher

ETH Zurich

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Marcus Liwicki

Professor

University of Kaiserslautern

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Laurens Hogeweg

Deep Learning Engineer

COSMONiO

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Theo Gevers

Professor of Computer Vision

University of Amsterdam

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Sotirios Fokeas

Data Scientist

Swisscom

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Eelco Stofbergen

Director Cyber Security

CGI

More Speakers Coming Soon

Get to know the speakers

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Unlike a brick-and-mortar department store, online retailers like Zalando must use digital representations of their offerings to entice customers.To make the properties of a fashion item more accessible, Zalando collects the disjoint information in the catalog and map it into an abstract mathematical space, the ‘fashion space.’

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With 4 billion queries annually, according to L’Oréal’s estimation, beauty is one of the most searched terms on the internet today. So it’s not surprising that the French luxury cosmetics brand has ramped up its digital strategy, with the 2014 launch – and subsequent upgrade – of an augmented reality app, Makeup Genius.

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EyeEm, the social photo-sharing community and marketplace, has unveiled a clever new technology that lets photographers upload their images and run them through an algorithm for instant keywording and aesthetic ranking.

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Getting a machine to put one foot in front of the other has been a priority for roboticists for decades. Two years ago Sven Behnke and his team of the University of Bonn participated in the DARPA Robotics Challenge trying to tackle the issue of locomotion.

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Ingo Waldmann researches the characterization of extra solar planets by focusing on data analysis of time-resolved spectroscopic data and on the interpretation of exoplanetary spectra using inverse retrieval techniques. See how he applies machine learning in his current projects to resolve the issue of the huge data amount collected about extra solar planets.

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Daniel Gebler has a clear idea for his future and that of Picnic. “There are many exciting technology trends like AI, IoT, mobile, finance and quantified self that will shape the coming years. I’m looking forward to push these technologies to the next level and use them for impactful products that customers love”.

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The machine learning team at Catawiki has built algorithms and processes to augment their auctioneers, leveraging deep learning to a high degree. This allows the experts to spend significantly more time on difficult cases, promoting their auctions, and investing in relationships with buyers & sellers.

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App-based bodyweight training backed by a strong community: This is the unique success story of Freeletics which has become one of the largest fitness movements worldwide. CEO Daniel Sobhani explains the brand's success – and has important tips for startups.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in machine learning and artificial intelligence from the world's leading innovators. Learn from the industry experts in speech & image recognition, natural language processing and computer vision. Explore how AI will impact transport, manufacturing, healthcare, retail and more.

Tech

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in machine learning and their applications in business and society. Machine intelligence is enabling applications including virtual assistants, robots to help assisted living, and identifying items in videos. What else can it solve?

Network

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine intelligence revolution. Learn from & connect with 250+ industry innovators sharing best practices to advance machine learning and AI impact and opportunities.

Who

Who Should Attend

  • Chief Data Scientists
  • CTOs
  • Founders
  • Director of Engineering
  • CEOs
  • Data Engineers
  • Software Engineers
Speechbubbles

Join the discussion

  • 30 speakers
  • 250 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • 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

Machine Learning
Machine Learning
Drones
Drones
NLP
NLP
AI
AI
Speech Recognition
Speech Recognition
Industrial Automation
Industrial Automation
Pattern Recognition
Pattern Recognition
Robotics
Robotics

Confirmed Attendees Include

Airbus
European Environment Agency
Vodafone
facebook
PwC
first imagine ventures
Accel
Beckhoff
TecAlliance
Nestlé
IBM
Zalando

Venue

The Postillion Convention Centre Amsterdam is very conveniently located between the city and the arterial roads and 20 minutes from Amsterdam Airport Schiphol.

View a map of nearby hotels here.

View more information on hotels, restaurants, and things to do in Amsterdam on our Pinterest page.

 Amsterdam

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Hotels

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