Data Innovation Summit-19TH & 20TH MARCH 2020 KISTAMÄSSAN, STOCKHOLM, SWEDEN

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Towards Human Centered and Explainable Data and AI Innovation 

Data is of vital importance for innovation and economic growth in the Digital and AI Economy. The purpose of data- and AI-driven innovation is to develop new or significantly improve existing human centred products, processes, methods or services. Data Innovation Summit is the leading data and advanced analytics event in the Nordics, constructed so it equally addresses all the elements of data-driven and AI-ready business: data, people, processes, technology and provides a holistic insight to the entire spectre of the data-to- insight-to-action process from data collection to visualisation and automation.

With over 120 Nordic and international speakers on six stages, six workshop stages and plenty of learning and networking activities in the exhibition area, the 2020 summit is the place to be for all professionals and organisations working with utilisation of data for increasing profit, reinventing business models, develop data-driven products, and increasing customer satisfaction.

Bringing you the hottest and most innovative data, analytics and AI case studies on these stages

Applied Analytics Data Science and AI Stage

The sessions are both business and technical, presenting a clear business output of data science, analytics, ML and AI to enhance customer experience, improve business process, reinvent business models and create new ones. Presentations by some of the most innovative companies in the world.

Analytics and Visualisation Stage

On this year’s Business Analytics Stage, we will focus on the latest methodologies of turning real-time data from multiple sources into insight, self-service BI, visualisation of data, prescriptive analytics, and much more. As the day passes by the presentations will dive into more in-depth topics and implementation examples.

Data Engineering Stage

Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Focus on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data, data pipeline, data lineage, modeling, data flow monitoring, feature extraction and much more. 

Data Management Stage

Technical and Strategy track focusing on best practices on leveraging data as an enterprise asset and ways of collecting and distributing quality data, while protecting privacy, usage restrictions and data integrity. This year’s focus is on the CDO agenda, data & information governance, Big Data quality, master data, warehousing, Data Lake, and much more. 

Industry 4.0 and IoT Stage

On the Industry 4.0 and IoT Stage we will dive into how we can utilize IOT data to create insight and innovate through that data. We will start by looking at some innovative business examples, and then move to more technical examples on IOT data management, and utilization of advanced analytics, machine learning and blockchain.

Machine and Deep Learning Stage

Technical presentations on deploying Machine Learning, Deep Learning, Natural Language processing, Generative Adversarial Network and Artificial Intelligence in projects. Presentations by some of the leading experts, researchers and practitioners in the area. 

Short Schedule 2020

The quickest way to discover what and when is going to happen on the summit.
For more detailed information Request the Agenda or click Explore Sessions in Detail.  Day 1 | 19th of MarchDay 2 | 20th of March

7:30

Registration opens

8:00

Meet the Exhibitors

8:30

Speed Networking

9:00

Keynotes

10:00

Coffee and Networking

10:30See more

Sessions

12:20

Networking Lunch

13:30

Sessions

15:30

Technology in Practice – Round 1

16:00

Sessions

17:30

Chairman’s Closing remarks

17:40

Networking Cocktail and Booth Crawl

19:00

Data after Dark

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Keynote Speakers 2020

Cassie
Kozyrkov

Chief Decision Scientist
Google

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Nick
Desbarats

Data Visualisation Evangelist
Practical Reporting

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Patrick
van der Smagt

Head of AI Research
Volkswagen Group

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Speaker Lineup 2020

Henrik Göthberg

Founder
Dairdux

Robert Luciani

Founder & CTO
LakeTide

Fabrizio Silvestri

Research Scientist
Facebook AI

Zheng Shao

Staff Data Scientist
LinkedIn

Emily Saliba

Data Scientist
Reddit

David Dadoun

Head of Enterprise Data and Business Intelligence
Ubisoft

Dao Mi

Senior Data Engineer
Netflix

Melisa Kleen

Head of Business Intelligence
Blinkist

Ritesh Agarwal

Lead Data Scientist
Uber

Michal Gancarski

Data Engineer
Zalando

Juan Bernabe Moreno

Global Head of Advanced Analytics, AI and Data Lab
E.ON SE

Olivier Maugain

Corporate Analytics & Digital Technology Lead
Henkel

Dexter Fichuk

Data Scientist (NLP)
Shopify

Shreyansh Daftry

Research Scientist
NASA Jet Propulsion Laboratory

Sébastien Foucaud

Chief Data Officer
HRS Group

Alessandro Canossa

Associate Professor
Royal Danish Academy of Fine Arts, Schools of Architecture, Design and Conservation

Ahmad Azadvar

User Research Project Manager
Massive Entertainment – A Ubisoft Studio

Neil Hodgson

Capability Lead, Star Connect
Maersk

Simon Moritz

IoT Ecosystem Evangelist
Ericsson

Jukka-Pekka Salmenkaita

Director, AI & Machine Learning
Elisa

Tejasvi Addagada

Deputy Vice President, Axis Bank Director of Board, IQ International
Axis Bank

Mattias Andersson

Partner / Senior Analyst
Miltton

Martin Dicksved

Partner / Senior Analyst
Miltton

Morten Bunes Gustavsen

Head of Data, DNB Wealth Management & Insurance
DNB

Mikhail Popov

Senior Scientist
RISE – Research Institutes of Sweden

Mats Adamczak

Data Scientist
Paf

Samar Singla

CEO & Founder
Jugnoo

Gaurav Dixit

Head of AI & Automation Development
Ericsson

Iiris Lahti

Development Director – Data Utilization
Sanoma Media Finland

Soeren Linau

Head of Swiss Cross Domain and LHG AI Studio
Lufthansa Group

Explore the entire speaker list

FULL SPEAKER LIST

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