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17 & 18 October 2018 | Stockholm, Sweden
Nordic DATA SCIENCE AND
MACHINE LEARNING SUMMIT
Accelerating Data & AI Innovation
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NORDIC DATA SCIENCE AND MACHINE LEARNING SUMMIT

DATA SCIENCE - MACHINE LEARNING - AUTOMATION - ARTIFICIAL INTELLIGENCE - DEEP LEARNING



Speakers 2018

EDUCATE - ENGAGE - EXCITE - EMPOWER


Jesper Nordstrom NDSML Summit 2018
Jesper Nordström
Strategy & Innovation Manager, AI & ML

Nordea

Hagay_Lupesko_NDSML_Summit_2018
Hagay Lupesko
Engineering Leader

Amazon AI

Ning_Zhou_NDSML_Summit_2018
Ning Zhou
Senior Program Manager

Microsoft

Hongyu_Su_NDSML_Summit_2018
Hongyu Su
Head of NLP, Data Science Lab

Nordea

Michael_Grogan_NDSML_Summit_2018
Michael Grogan
Data Science Consultant and Educator

michaeljgrogan.com

Muzahid_Hussain_NDSML_Summit_2018
Muzahid Hussain
Research and Development Engineer

Dassault Systems 3d Excite

assets/img/speaker/Cenk_Bircanoglu_NDSML_Summit_2018
Cenk Bircanoğlu
Machine Learning Engineer

Bahcesehir University

Elin_Magnusson_NDSML_Summit_2018
Elin Magnusson
Customer Analyst

If P&C Insurance

Lishuai_Jing_NDSML_Summit_2018
Lishuai Jing
Senior Data Scientist

Grundfos

Jonathan_Ridenour_NDSML_Summit_2018
Jonathan Ridenour
Data Scientist

Ngenic AB

Gail_Hutton_NDSML_Summit_2018
Gail Hutton
Head of Data Science

Trustpilot

assets/img/speaker/Jim_Barrett_NDSML_Summit_2018
Jim Barrett
Machine Learning Research Engineer

Klarna Bank AB

Anders_Bresell_NDSML_Summit_2018
Anders Bresell
Head of Technology Development & Data Science

Telenor Connexion AB

Ismail_Elouafiq_NDSML_Summit_2018
Ismail Elouafiq
Data Scientist/Developer

SVT

Claes_Orsholm_NDSML_Summit_2018
Claes Orsholm
CEO

Savantic AB

Alessandro_Canossa_NDSML_Summit_2018
Alessandro Canossa
Data Scientist

Massive Entertainment – a Ubisoft Studio

Sasha_Makarovych_NDSML_Summit_2018
Sasha Makarovych
Data Scientist

Massive Entertainment – a Ubisoft Studio

Liquan_Yang_NDSML_Summit_2018
Liquan Yang
Data Insight Analyst

Massive Entertainment – a Ubisoft Studio

Johan_Bjurgert_NDSML_Summit_2018
Johan Bjurgert
Head of Data Science

LeoVegas

Sneha_Rao_NDSML_Summit_2018
Sneha Rao
Senior Product Lead, Data Infrastructure

Spotify

Evelina_Antilla_NDSML_Summit_2018
Evelina Anttila
General Counsel

Peltarion

Oskar_Stal_NDSML_Summit_2018
Oskar Stål
VP User Engagement

Spotify

Omar_Marzouk_SoundTrackYourBrand_NDSML_Summit_2018
Omar Marzouk
Senior Research Scientist

SoundTrackYourBrand

Srikar_Muppirisetty_Volvo_NDSML_Summit_2018
Srikar Mupprisetty
Senior Machine Learning Engineer

Volvo Car Corporation

Sahar_Asadi_NDSML_Summit_2018
Sahar Asadi
Senior Machine Learning Engineer

ClusterOne

Peter_Hindsgaul_Bjerre_Jensen_NDSML_Summit_2018
Peter Hindsgaul Bjerre Jensen
Data Scientist

Danfoss

Kristian_Flikka_NDSML_Summit_2018
Kristian Flikka
Leading Advisor Data Science

Equinor

Mikhail_Zhilkin_NDSML_Summit_2018
Mikhail Zhilkin
Data Scientist

Arsenal FC

Liselott_Johansson_NDSML_Summit_2018
Liselott Johansson
CEO

Greater Than

Anya_Rumyantseva_NDSML_Summit_2018
Anya Rumyantseva
Data Scientist EMEA

Hitachi Vantara

Kim_Naess_NDSML_Summit_2018
Kim Næss
Lead Data Analyst Nordics

Hitachi Vantara

Albin_Sunesson_NDSML_Summit_2018
Albin Sunesson
Data Scientist

Laketide

Hao_Huang_NDSML_Summit_2018
Hao Huang
Data Scientist

Laketide

Program Advisory Board 2018



Robert Luciani
Robert Luciani
CTO & Thinker

Laketide

Anders Arpteg Peltarion Nordic Data Science Summit 2017
Anders Arpteg
Principal Data Scientist

Peltarion

Puya
Puya Sharif
Data Scientist and Founder

Modulai

Daniel
Daniel Tidström
Head of Analytics

Nordnet

Errol Koolmeister
Errol Koolmeister
Practice Lead Data Science, NEER

Teradata

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Sponsors 2018



2018 Speaker Companies

Supporting Partners 2018

  • Rockstart
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  • Digital Agencty Network
  • sponsor-0
  • KDNuggets
ABOUT THE VENUE - 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.


Learn more
ACCELERATING DATA & AI INNOVATION

We are seeing huge advances in Data Science and ML every year. Most recently, we have seen progress not just in academia and industry, but also politicians are starting to take action in Europe and throughout the world. It is hard to quantify progress in AI in an exact way, but there is broad consensus that the USA is leading on AI with China not far behind as it continues to make substantial investments and has the goal of becoming the leading country on AI by 2030. For some metrics, such as number of scientific publications in deep learning, China is actually already ahead of the USA.

We have also seen initiatives in Europe, such as the recently published European Commission’s AI strategy, and other initiatives from France, Germany, UK, Finland, and Sweden. I was personally part of reviewing a recent report from Vinnova that gives a good overview of the current state and potential of AI.

Novel scientific results are being seen on a daily basis, and I’ve been particularly impressed with models such as the “Transformer” that claims that “Attention is All You Need” and can be used without need for recurrent or convolution layers. Techniques such as Progressive Growing of Generative Adversarial Networks are able to generate stunning high resolution imaginary celebrity photos. New impressive AI applications are also being deployed, such as Google Duplex that makes phone calls for you. It makes a convincing case for passing the Turing Test, at least for the domain of scheduling meetings.

As AI starts to become a ubiquitous part of any service, the risk of abuse and unwanted effects will also increase. We have seen data being misused in recent examples such as the Cambridge Analytica’s use of Facebook data, and this motivates improvements in regulations. But it is also important that any future rules or regulation does not hinder innovation.

For example it will be interesting to see what will happen with the new GDPR legislation. Hopefully, it will not lead to companies being afraid of using data but instead make sure that data processes are safe and privacy is preserved and respected. That is what this year’s event is all about: how can we accelerate data and AI innovation while navigating through technological advancements, organisational structures and regulations?

Based on the last years’ delegates’ recommendation, combined with our recent research, we have created an agenda that will fit the need of every organisation and practitioner. Across four stages we will focus on applied data science case studies, technical presentations on infrastructure for data and AI, as well as a full stage dedicated to management, organisational strategy and ethics.

Furthermore we have moved the event to a much bigger venue, refreshed the agenda with new learning models like the Campfire sessions, and dedicated time for more hands-on workshops, demos, panels and networking activities.

With this, I am glad to welcome you to the third edition of the annual Nordic Data Science and Machine Learning Summit. Don’t forget to bring your team. We have a lot to discuss.

Prices

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Full Access
GROUP TICKET

2-4 Participants

5580 SEK

  • 4 hours Workshop
  • 1,5 Day Conference
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  • Full Access
    SINGLE TICKET

    7910 SEK

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    BRANDED TICKET

    5+ Participants

    5180 SEK

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  • Conference Only

    Conference Only
    GROUP TICKET

    2-4 Participants

    4190 SEK

  • 1,5 Day Conference
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  • Conference Only
    SINGLE TICKET

    6520 SEK

  • 1,5 Day Conference
  • Food & Refreshments
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  • Conference Only
    BRANDED TICKET

    5+ Participants

    3790 SEK

  • 1,5 Day Conference
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  • Whitepapers

    Europe Data and Analytics Salary Guide 2017
    The European salary guide from Harnham examines the hiring and remuneration trends for the data and analytics market across the region. From Germany to Gibraltar, we have your questions covered no matter where you are hiring or seeking a new role.

    Confidently Anticipate and Drive Better Business Outcomes
    The instrumentation of nearly everything is creating a rising tide of data, both structured and unstructured. Every enterprise realizes data is a priceless strategic asset and a resource for competitive advantage. But data by itself is of little use.

    Big Data, Big Challenges, and Big Opportunities
    Traditional business intelligence (BI) tools provide limited explanations of why something happened, because most BI solutions are geared more for reporting and dashboarding workflows that focus on the past. As a result, users are left to create their own insights from slicing, dicing, and drilling through the data themselves

    Machine Learning Automation: Beyond Algorithms
    What happens if automated techniques that pro - vide results as good as models handcrafted by data scientists come to the market. As we've seen with the industrial revolution and the advent of the assembly line, when disruptive technologies enter the market, productivity rises dramatically and pent-up demand drives rapid expansion. We are seeing this with our customers, who are using automation techniques to answer many more business questions than before with the same amount of staff and skills.

    Gallery

    Pictures from Nordic Data Science and Machine Learning Summit 2017

    Videos


    Laurent Tessier - SAP
    Jonne Heikkinen - Solita Oy
    Bernard Otupal - Dell EMC
    Leif Nordlund - Nvidia Nordics
    Stefan Carlsson - KTH
    Robert Luciani - LakeTide
    Ossi Lindroos - Solita Oy
    Mikael Klingvall - Vattenfall
    Thiago Guerrera Martins - Yahoo
    Helge Johannessen Bjorland - Telenor
    Daniel Tidstrom - Nordnet
    Boxun Zhang - Spotify

    Contact us

    • Hyperight AB
    • info@hyperight.com
    • +46 (0) 840 80 4497