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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Kersti Kaljulaid


President of Estonia


Opening Speech

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Julien Simon


Principal Technical Evangelist, AI/ML


@Amazon Web Services

Real-life reinforcement learning

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Henrik Lindström


Product Lead in Search


@Spotify

How ML in Search works

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Roberto de Almeida


Software engineer


@Lyft, Data visualizatio

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

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Ville Tuulos


Architect, ML Infrastructure
@Netflix

Tools for Human-Centric Machine Learning at Netflix

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Frank Seide


Principal Researcher @Microsoft

Achieving Human Parity in Speech Recognition and Machine Translation

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André Karpištšenko


Head of Data Science


@Taxify

Machine Intelligence for Urban Mobility

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Djork-Arné Clevert


Senior Scientist
@Bayer

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

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Samuel Ritter


Research Scientist


@Google’s DeepMind

Meta-Learning to Make Smart Inferences from Small Data

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Magnus Hiie


CTO


@Sixfold

Processing real-time logistic events at Sixfold

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Kristjan Korjus


Head of Data


@Starship Technologies

Extreme data in Starship Technologies

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Paweł Mandera


NLP Researcher


@Lingvist

Teaching machines to teach people

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Mervi Sepp Rei


Product Manager, Data and Reporting @Topia

Large scale text processing. From prose to product - post-mortem.

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Alexander Tkachenko


Machine Learning Engineer

@Snackable AI

Extracting meaning from audio

Henrik Brink


Founder @Ento AI

Fighting climate change with AI

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Liubov Kyaes


Senior Data Integration Developer @Proekspert

Large scale text processing. From prose to product - post-mortem.

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Alex Kozlov


Enterprise Solutions Architect


@Nvidia

RapidsAI - Accelerating ML/AI workloads on GPUs

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Märten Veskimäe


Lead Data Scientist @Monese

Don’t throw the baby out with the bathwater: how to ensure financial security while incentivizing automated onboarding

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Pascal Weinberger


Co-Founder


@Augustus Intelligence Inc.

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

Taivo Pungas


Machine Learning & Automation Lead @Veriff

Three tips for developing automation-heavy products

…More speakers will be added!…