Towards Human-Centered Data & AI Innovation

Nordic
Data Science &
Machine Learning
Summit 2019
Thank you!

Summit at glance

Nordic Data Science and Machine Learning Summit is an annual event bringing together the Data Science Community in the Nordics to share ideas, and discuss ways to harness the full potential of Data Science and Machine Learning. The agenda is suited to guide you through the process of extracting knowledge from data by using the latest methodologies, tools and algorithms. With domestic and international speakers on stage, workshops, interactive panel discussion and plenty of learning and networking activities in the exhibition area, the Nordic Data Science and Machine Learning Summit is the place to be for all professionals and organisations working with utilization of Data Science, Machine and Deep Learning, to innovate and improve their business.

What’s this event all about?

4 Stages

• Applied Data Science
• Machine Learning and AI
• Tools and Infrastructure
• Campfire sessions – Management, Strategy & Ethics

Domestic and International speakers. All presentations will last 30 minutes, and will be held in English 

Post-Event Workshops

For those who would like to get an opportunity to dive deep into a particular topic, process, or technology, we are setting up some Hands-on three-hour workshops with coffee break in-between. Three of the workshops with be technical and one on strategy and value. As they are going in parallel you can attend only one of the four. All workshops are limited to 50 participants.

Need-to-know and Up-to-date Topics

The agenda is carefully designed to match the delegate community challenges and needs. Based on the last year’s feedback and our pre-event research, we have constructed the agenda that emulates the current market maturity, current project objectives, as well the aspiration for future technology insight.

Campfire Sessions

Same as last year we have a new discussion stage. Presenters and a panellist will present a case in 20 minutes and then open the discussion with the audience. The goal is to create honest, insightful, and problem-solving discussions. This year’s topic covered will be management, strategy, and ethics. To ensure fostering of good discussions, the room will be limited to 70 participants.

More Demos in the Expo Area

Last year’s delegates asked for more demos during the summit. On this year’s summit we are bringing some of the leading technology and service providers in the area, some of them presenting their tools and services for the first time in Sweden. To make it more transparent and relevant for you, the demos presented during the summit will be listed in the agenda and on the event webpage.

Networking Program

On recommendation of last year’s delegates, on this edition we are continuing with mixed panels composed of practitioners and experts. By mixing the panels, our intent is to create a good discussion and a contrast between what is possible in the area and what is actually done in organisations today.

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Speaker Companies 2019

Sessions 2019

view schedule outline

Movie Night

Join us on an evening networking program followed with interactive discussions, cocktail food and refreshments.

Thanks to Dataiku, during the networking program of the event we will have the opportunity, for the first time, to exclusively screen the DATA SCIENCE PIONEERS full documentary innitiated by Dataikus CEO, Florian Douetteau.

Interested? Wanna know more?

Request the agenda

request here

Content Advisory Board

Anders Arpteg

Principal Data Scienist
Peltarion

Robert Luciani

Data Scientist and CTO
LakeTide

Puya Sharif

Data Scientist and Founder
Modulai

Daniel Tidström

Head of Product Analytics
Epidemic Sound

Errol Koolmeister

Lead Data Scientist
H&M xAI

Meet the 2019 speakers

Errol Koolmeister

Lead Data Scientist
H&M xAI

Peter Wissinger

CEO
LakeTide

Dr. Sergei Bobrovskyi

Data Scientist
Airbus

Dr. Katharina Glass

Manager Data Science
Aurubis

Amin Sorkhei

Senior Data Scientist
Unity Technologies

Ronnie Jansson

Director, Consumer Digital Data Science
Volvo Cars

Iker Martinez de Apellaniz

Staff Data Engineer
Adevinta

Mattias Fras

Head of AI Strategy & Acceleration
Nordea | Group Data Office

Javier González

Principal Software Engineer
Samsung Electronics

Hjalte Vinther Kiefer

Large-scale Data Specialist
Vestas Wind Systems

Anders Bresell

Head of Technology Development & Data Science
Telenor Connexion

Alla Tarighati

Senior Data Scientist
SEB

Antti Myllymäki

Head of Artificial Intelligence
OP Financial Group

Sylvester Juwe

Senior Data Science Manager
British Gas

Or Levi

Founder
AdVerif.ai

Ezeddin Al Hakim

AI Research Engineer
Scania

Deepa Krishnamurthy

Data Scientist
Klarna Bank

Paris Carbone

Senior Researcher
RISE

Denis Vorotyntsev

Research Data Scientist
Oura

Celine Xu

Senior Data Scientist
Axel Johnson

Justin Shenk

Field Data Scientist
Peltarion

Lucie Gattepaille

Data Scientist
Uppsala Monitoring Centre

Martin Klavstrup Mathiasen

Head of Advanced Analytics, Supply Chain
Novo Nordisk

Roshan Amasa

Data Scientist and Data Strategist
BMW Group

Giovanna Miritello

Lead Data Scientist
Vodafone UK

Maggie Mhanna

Data Scientist
Renault Digital

Agnes Stenbom

Associate Product Manager, Machine Learning
Schibsted Media Group

Victoria Chudinov

Data Scientist
DSB Digital Labs

Shiva Sander Tavallaey

AI-Lead
ABB Sweden

Mattia Zeni

Senior R&D Engineer
TomTom

Noha Badawy

Data Scientist
Dataiku

Kim Næss

Solution Engineer Nordics
Hitachi Vantara

Pauliina Erätuuli

AI Solution Manager
Nokia

Elin Allison

Head of New Product for Data Insights – Division X
Telia Company

Jeff Fletcher

Machine Learning Field Engineer
Cloudera

Josef Lindman Hörnlund

Machine Learning Engineer
Modulai

Riku Tapper

Head of AI Center of Excellence
Posti Group

Nikolay Manchev

Principal Data Scientist for EMEA
Domino Data Lab

Elena Salova

Data Scientist
Hitachi Vantara

Peter Funk

Professor
Mälardalen University

Rickard Sohlberg

Entrepreneur
Brains 4 AI

Daniel Zakrisson

CEO and Co-founder
Scaleout Systems

Lars Albertsson

Founder
Scling

Øyvind Indrebø

Head of Machine Learning and Artificial Intelligence
Fremtind Forsikring

Mikael Ruohonen

Head of Data Science
SOK

Oskar Eriksson

Customer Facing Data Scientist
DataRobot

Daniel Gillblad

Co-Director/Director of AI Research
AI Innovation of Sweden/RISE

Daniel Skantze

Head of Engineering
Peltarion

Stay tuned for the 2020 editon

Request the 2019 agenda

Partners

Supporting Partners

Media Partners

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Gallery

Pictures from Nordic Data Science and Machine Learning Summit 2019

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Whitepapers

Machine Learning Applications in Fair Value Measurement

The rapid evolution of computational technologies has enabled businesses to leverage machine learning methods to tackle challenging, labour-intensive tasks involving various degrees of judgement and decision making. Financial markets are no exception. In this article we tell the story of our AI-driven solution to a common challenge in finance – the fair value measurement of illiquid financial instruments.

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Machine Learning Model Validation

There seem to be two persistent challenges that organizations face in adopting machine learning driven solutions.

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Venue 2019: Quality Hotel Friends

Just metres away from the Friends Arena stadium and Mall of Scandinavia, the Quality Hotel™ Friends offers modern event facilities, state-of-the-art meeting venues and fine dining – all within easy reach of Stockholm Arlanda Airport. The Quality Hotel Friends is a dedicated events hotel where business guests can benefit from our combination of modern facilities and extensive expertise to host meetings or conferences of any size.

Råsta Strandväg 1, 169 56 Solna