Speakers & Topics

Overall theme for 2019 is data

North Star AI is focusing on data as this is the most important thing in machine learning. Algorithms and computing power is a commodity, data is not as it defines what your algorithms learn. Even in the age of big data, labelled data is a scarce resource in many ML use-cases. We know that the collection of data is difficult – challenges with privacy, quality, labelling being expensive to name a few. Yet, data gives you a competitive advantage, something that your competitors don’t have.

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Samuel Ritter

Research Scientist

@Google’s DeepMind

Meta-Learning and Meta-Reinforcement Learning: Teaching Machines to Learn Rapidly from Sparse Data


Julien Simon

Principal Technical Evangelist, AI/ML

@Amazon Web Services

Advanced Machine Learning on AWS

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Henrik Lindström

Product Lead in Search




Roberto de Almeida

Software engineer

@Lyft, Data visualizatio


From clay to WebGL: a brief history of geospatial and geographic visualization


Ville Tuulos

Architect, ML Infrastructure

Fast humans and slow machines: Human-Centric ML infrastructure at Netflix

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Frank Seide

Senior Researcher and Research Manager



Ando Saabas

Senior Data Scientist

Machine Intelligence for Urban Mobility


Djork-Arné Clevert

Senior Scientist

Nets & Drugs & Gradient Flow - Deep Learning for Denovo Drug Design


Henrik Brink

Lead ML Engineer

@ex-GE, ex-wise.io

The Internet of Intelligent Things

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Magnus Hiie



Processing real-time logistic events at Sixfold

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Kristjan Korjus

Head of Computer Vision & Perception @Starship

Extreme data in Starship Technologies


Paweł Mandera

NLP expert


Leveraging data for language learning


Mervi Sepp Rei

Data Scientist


Large scale text processing. Is there a cure for ‘evil’?


Jekaterina Kokatjuhha

Research Engineer


Transfer learning for cold start in fraud detection production system

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Liubov Kyaes

Data Engineer


Large scale text processing. Is there a cure for ‘evil’?

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Alex Kozlov

Enterprise Solutions Architect


RapidsAI - Accelerating ML/AI workloads on GPUs


Pascal Weinberger


@Augustus Intelligence Inc.

AI as a Service: How to help drive the 4th Industrial Revolution


Alexander Tkachenko

Machine Learning Engineer

@Snackable AI

Extracting meaning from audio.

…More speakers will be added!…