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.
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
Henrik Lindström
Product Lead in Search
@Spotify
How ML in Search works
Roberto de Almeida
Software engineer
@Lyft, Data visualizatio
n
From clay to WebGL: a brief history of geospatial and geographic visualization
Ville Tuulos
Architect, ML Infrastructure
@Netflix
Tools for Human-Centric Machine Learning at Netflix
Frank Seide
Principal Researcher @Microsoft
Achieving Human Parity in Speech Recognition and Machine Translation
André Karpištšenko
Head of Data Science
@Taxify
Machine Intelligence for Urban Mobility
Djork-Arné Clevert
Senior Scientist
@Bayer
Nets & Drugs & Gradient Flow - Deep Learning for Denovo Drug Design
Samuel Ritter
Research Scientist
@Google’s DeepMind
Meta-Learning to Make Smart Inferences from Small Data
Magnus Hiie
CTO
@Sixfold
Processing real-time logistic events at Sixfold
Kristjan Korjus
Head of Data
@Starship Technologies
Extreme data in Starship Technologies
Paweł Mandera
NLP Researcher
@Lingvist
Teaching machines to teach people
Mervi Sepp Rei
Product Manager, Data and Reporting @Topia
Large scale text processing. From prose to product - post-mortem.
Alexander Tkachenko
Machine Learning Engineer
@Snackable AI
Extracting meaning from audio
Henrik Brink
Founder @Ento AI
Fighting climate change with AI
Liubov Kyaes
Senior Data Integration Developer @Proekspert
Large scale text processing. From prose to product - post-mortem.
Alex Kozlov
Enterprise Solutions Architect
@Nvidia
RapidsAI - Accelerating ML/AI workloads on GPUs
Märten Veskimäe
Lead Data Scientist @Monese
Don’t throw the baby out with the bathwater: how to ensure financial security while incentivizing automated onboarding
…More speakers will be added!…