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23rd of March 2017, Stockholm International Fairs, Stockholm
Data Innovation Summit
Innovate through your data
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DATA INNOVATION SUMMIT


DATA ANALYTICS - DATA SCIENCE - DATA GOVERNANCE - CUSTOMER ANALYTICS - DATA QUALITY - DATA ARCHITECTURE






Speakers


Speakers are what make events stand out. Data Innovation Summit is bringing the most innovative minds, practitioners, experts and thinkers on three stages to inspire and present to the delegates new innovative ways to work and innovate through their data.





Meet our 2017 Speakers
EDUCATE - ENGAGE - EXCITE - EMPOWER


Henrik Gothberg
Henrik Göthberg
Director Group Financial Systems

Vattenfall

Muthu_S_Tesla_DIS_2017
Muthu S.
Program Manager, Data Science and Analytics

Tesla Motors

Giovani_Leoni_IKEA_DIS_2017
Giovanni Leoni
Business Analytics Change Leader

IKEA

Andrea_Burbank_Pinterest_DIS_2017
Andrea Burbank
Data Scientist

Pinterest

Carl_Svard_Schibsted_DIS_2017
Carl Svärd
Data Scientist

Schibsted Media Group

Rosenhain_Federico
Federico Rosenhain
Chief Data Officer

Banco Hipotecario

Johan Magnusson
Johan Magnusson
PhD, Associate Professor

University of Gothenburg

Toni Jarimo
Toni Jarimo
Director, Marketing and Web Analytics

Kesko

Alejandra Neyra
Alejandra Neyra
Data Analyst / CRM Manager

Council of International Schools

Ruth Sommar
Ruth Sommar
IIW Model Manager

Folksam

Serge de Gheldere
Serge de Gheldere
CEO

Futureproofed

Wilhelm Landerholm
Wilhelm Landerholm
Numerati/Data Scientist

Queue AB

Jorge Davila­ Chacon
Jorge Davila­ Chacon
Data Scientist

Collect AI GmbH

Lars Albertsson
Lars Albertsson
Founder & Data Engineer

Mapflat

Luke Whelan
Luke Whelan
Business Analytics Lead

Linkedin

Luke Whelan
Dr. Kashif Rasul
Data Scientist

Zalando SE

Morten Bunes Gustavsen
Morten Bunes Gustavsen
Head of Quantitative Strategies

DNB Asset Management

Karsten Fyhn
Karsten Fyhn
Advisory Key Expert in Data Science

Siemens Wind Power A/S

Mikhail Zhilkin
Mikhail Zhilkin
Senior Data Scientist

King

Mina Bostrom Nakicenovic
Mina Boström Nakicenovic
Development Manager

FIS Front Arena

Magnus Eriksson
Magnus Eriksson
Data Scientist

Paradox Interactive

Erik Dahlberg
Erik Dahlberg
Senior Data Scientist

Klarna

Anwar Sulaiman
Anwar Sulaiman
Data Governance Officer

NetEnt

Henrik Falldin
Henrik Fälldin
Data Analytics Specialist, Digital Engineering

Skanska UK

Shirish Tatikonda
Shirish Tatikonda
Principal Data Engineer

Target Corporation

Markus Ritkola
Markus Rytkölä
Senior Director PreSales

Qlik

Martin Hehrne
Martin Hehrne
Measurement Lead

Facebook

Jonne Heikkinen
Jonne Heikkinen
Data Science Manager

Solita

Chris Selland
Chris Selland
Vice President Worldwide Alliances, OEM & SME

HPE Software

Styrbjorn Torbacke
Styrbjörn Torbacke
Managing Director

Zoined Oy

Jesper Leth
Jesper Leth
Application Engineer

Stibo Systems

Diego Galar
Diego Galar
Professor

Luleå University of Technology

Peter Wellan
Peter Wallin
Head of Group Analytics

Hoist Finance

Kurt Muehmel
Kurt Muehmel
VP Sales & Partnership, EMEA

Dataiku

Jeremy Hillier
Jeremy Hillier
Product Manager

Valo

Full schedule

Shortest way to explore what will happen on the Data Innovation Summit 2017


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Bringing the DATA world to SWEDEN

It is such a pleasure to see that Data Innovation is becoming a topic of discussion in many organisations and that the interest for the event is getting higher. The 2016 edition of the event was fantastic but now it is time to take it to next level. Our aspiration is to make the summit one of the leading events on this topic globally, and a natural place where new ideas and technology will be presented. The recent interest from international practitioners and technology providers makes us confident that we are on the right track.

For the 2017 edition of the summit we are increasing the investment in the event and bringing some new amazing presenters, technology providers and several new features. We are moving the event to a new and spectacular venue and increasing the number of tracks and presentations while providing more time for organic networking and in-depth discussion. The new event app will enable more informative and digital experience and maximize the engagement before and during the event. As in the 2016 edition of the event we will continue with the short 15 min presentation, something that we see now it has been widely adopted by our peers as a new standard for a presentation duration and time management. We are also bringing a new exciting and transparent way to experience the potential of the technology and services presented by the exhibitors on-site.

In terms of content the 2016 edition lays down the foundation for data-driven innovation. It brought light to the macro drivers, the challenges, the implications and the solutions. The 2017 edition will bring more practical case studies on “how” and real examples of putting data innovation into practice. There will be three stages.The Innovation Stage will focus on clear examples of Data Innovation and its impact to the business or society, the Analytics Stage will focus on practical case studies on implementation of analytics and data science capabilities and technology in an organization, and the Data Management stage will focus on Data Management as a foundation for data innovation.

It gives me a great pleasure to welcome you all to the 2017 edition of Data Innovation Summit. It is going to be bigger, more educational, more practical, more exciting and more engaging.

Join us. We have a lot to discuss.

PS: As we are now working on the speaker and partner list, if you are working on a data-driven project or technology that will change the way how organisations approach business and decision making, contact us, we would love to hear about it.

40+
speakers

on stage

12
hours

of premium content

300
minutes

of pure networking

300+
participants

expected

Founding Partner

  • sponsor-0.
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  • Teradata.
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Partners 2017

  • Solita analytics.
  • sponsor-0.
  • dynamoanalytics.
  • sponsor-0.
  • Hortonworks.
  • knowit.
  • sponsor-0.
  • dataiku.
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  • alteryx.
  • harnahm.
  • sponsor-0.
  • acando.
  • sponsor-0.
  • ibm.
  • webstep.
  • sponsor-0.
  • cloudera.
  • sponsor-0.
  • talend.
  • valo.
  • sponsor-0.
  • Futjitsu.
  • sponsor-0.
  • Affecto.
  • Information builders.
  • sponsor-0.
  • Bureau van dijk.
  • sponsor-0.
  • Neos.
  • .
Official 2017 Media Partners

  • sponsor-0.
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  • Iu magazine.
  • sponsor-0.
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2017 Speaker Companies

2017 Supporting Partners

About the venue - Stockholm International Fairs

Stockholmsmässan (Stockholm International Fairs) is the largest meeting place in Scandinavia hosting around 70 leading exhibitions and hundreds of national and international congresses, conferences and corporate events every year.
Both buses and commuter trains stop at Älvsjö Station, which is right next to Stockholmsmässan. The journey by commuter train from Stockholm Central Station to Stockholmsmässan takes just ten minutes. Fast and environmentally friendly, now that’s an unbeatable combination.


Learn more

Pricetable

All prices are per delegate and excluding VAT.
These prices and packages are not applicable for solution providers.


Group

2660 SEK

  • Full entrance
  • Refreshments included
  • Documentations included
  • Follow-up seminars included
Buy now

Branded

2390 SEK

  • Minimum 5 people
  • Full conference package
  • Follow-up seminars included
  • Branded as a supporting company
Buy Now
Download the official event application



Enjoy your event!


Download
Gallery
Video
Think Big Velocity Services
Think Big Velocity Services
Volvo Cars uses the Internet of Things to enhance their customer’s driving experience and enable new business opportunities globally
Volvo Cars uses the Internet of Things to enhance their customer’s driving experience and enable new business opportunities globally
Siemens: Capitalizing on Digitization, the Internet of Things, Automation and the Cloud
Siemens: Capitalizing on Digitization, the Internet of Things, Automation and the Cloud
Siemens: Building a Smart City with Internet of Things
Siemens: Building a Smart City with Internet of Things
The Solitude of the Data Team Manager
The Solitude of the Data Team Manager" by Florian Douetteau, Dataiku
Voyage Prive and Dataiku: Smart User Segmentation for Targeted Recommendations
Voyage Prive and Dataiku: Smart User Segmentation for Targeted Recommendations
The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products
Interview with Julian Scholz, Exasol
Interview with Julian Scholz, Exasol
Why should all businesses explore Data Driven Innovation?
Why should all businesses explore Data Driven Innovation?
How to start and embed analytics in your company DNA
How to start and embed analytics in your company DNA
Advanced data techniques, data discovery & real-time data applications
Advanced data techniques, data discovery & real-time data applications
Challenges and Benefits of Data Visualization & Data Governance
Challenges and Benefits of Data Visualization & Data Governance
Data Science and Analytics in Industry - Interview with Diego Galar
Data Science and Analytics in Industry - Interview with Diego Galar
The era of cognitive business - Interview with Torben Noer from IBM
The era of cognitive business - Interview with Torben Noer from IBM
The emerging discipline of Data Science
The emerging discipline of Data Science
The importance of Governing BI and Analytics - Interview with James Richardson
The importance of Governing BI and Analytics - Interview with James Richardson
Data Monetization Strategies - Interview with Rado Kotorov
Data Monetization Strategies - Interview with Rado Kotorov
Prescriptive Analytics & ITL Processing - Interview with Ashwin Desikan
Prescriptive Analytics & ITL Processing - Interview with Ashwin Desikan
Prerequisites for Data Innovation - Interview with Johan Magnusson
Prerequisites for Data Innovation - Interview with Johan Magnusson
Driving value from data - Interview with Katarina Hansson
Driving value from data - Interview with Katarina Hansson
Data driven tools & insights in the disruptive television business
Data driven tools & insights in the disruptive television business
 A Data Scientist perspective on disruptive television business
A Data Scientist perspective on disruptive television business
Data & analytics as drivers for business development & innovation
Data & analytics as drivers for business development & innovation
Big data & analytics = big problems?
Big data & analytics = big problems?
Modern on-premise and cloud based data centers
Modern on-premise and cloud based data centers
The business value of Apache Hadoop
The business value of Apache Hadoop
Customer Analytics Innovation: reimagining customer journey
Customer Analytics Innovation: reimagining customer journey
The Secret Weapon of Digital Advertisers
The Secret Weapon of Digital Advertisers
An introduction to Data Warehouse Automation
An introduction to Data Warehouse Automation
Interview with Magnus Carlsson, Acando Sweden
Interview with Magnus Carlsson, Acando Sweden
IInterview with Jonas Karlsson, Idevio
IInterview with Jonas Karlsson, Idevio
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The IOT is all about data - not about technology for technology's sake
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Advanced Analytics, The Modern Marketer's Best Friend
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Data Science For Banking & Insurance
Established tech giants and startups alike have been clamoring for a seat at the table in the banking and insurance industries. Adapting to this new reality means using the tools of the newcomers’ trade - data science, big data, and algorithms - and supplementing those technologies with the unique assets and strengths of traditional banking and insurance companies.

The 5 Key Challenges to Building a Successful Data Lab
Companies that create their own data labs face a number of obstacles as they ramp-up their operations. Many of these challenges are centered on the need for collaboration between IT and Business profiles. Common mistakes, such as using static data or not thoroughly planning a solution’s implementation, can trip up a young data lab before it completes its first proof-of-concept.

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Agile Data Warehouse Development: Realising business value quickly at Tesco
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Using Sensor Data from Trucks to Improve Profitability
A leading automotive company needed to combine sensor data with operational data to deliver compelling offers, provide greater customer service and improve profitability.

Thinking Big Data - Think PaaS: Leveraging the cloud delivery model for Big Data
A Nordic survey on Big Data and Hadoop1 indicated that 92 percent of IT managers of 300 major companies in the Nordics believe that actionable insights acquired from new data analytics would give their company a competitive advantage. More than half (63 percent) saw a need to collect these new types of data, yet many were constrained by traditional databases and systems, ill-equipped to store, process and analyze this data.

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