NEW LOCATIONS: BANGALORE | MILAN | DUBAI

Online

18TH – 21ST AUGUST | CET
The biggest and the most influental Data and Advanced Analytics event in the Nordics!
‎ ‎18TH – 21ST AUGUST | CET‎ ‎‎

The biggest and the most influential Data and Advanced Analytics event in the Nordics!

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Summit at glance

100% Online

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With this new format online, Data Innovation Summit is here to help you still hear cutting-edge content, meet and engage with peers and find solutions to your most pressing challenges.

<span style="color:#005baa" class="has-inline-color">[ M1 ]</span> Applied Analytics Data Science and AI Stage
Pre-Event Workshop Days

To provide a deeper insight and focus into specific topics, we have dedicated two pre-event days exclusively for workshops. Same as last year, we are having six workshop (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering. The Crash-Courses are 100 minutes each.

<span style="color:#fdb913" class="has-inline-color">[ M2 ]</span> Applied Analytics Data Science and AI Stage
The Main Days

8 stages: Applied Analytics Data Science and AI; Analytics and Visualisation; Data Engineering; Data Management; Industry 4.0 and IoT; Machine and Deep Learning and the Ignite and Accelerate Bonus Stages – a mixture of all of the above stated. All presentations are still 20 minutes with 10 minutes of changing time between sessions. This will give the speakers an opportunity to directly dive into the topic and focus on the key learning points and for the delegates enough time to move from one stage to another. All presentations are held in English.

<span style="color:#812990" class="has-inline-color">[ M3 ]</span> Data Engineering Stage
Exclusive Online Content

Since March, we have been forging new relationships globally, searched for new case studies across regions and sectors and managed to bring a unique set of case studies curated and only available for the purpose of the event. In the new program, you will find these new exciting presentations never heard before, listed under new tracks, days, etc.

<span style="color:#ed1c24" class="has-inline-color">[ M4 ]</span> Data Management Stage
Unique Networking

Explore the list of participants, book one-to-one meetings, exchange contacts, comment, discuss together, ask questions, meet the speakers, vote or join other network activities. Through the platform you can create or join discussion sessions with senior practitioners, bring your peers together to discuss your greatest challenges, brainstorm and exchange ideas and get best practice tips through in-depth, interactive discussion groups.

<span style="color:#005baa" class="has-inline-color">[ M1 ]</span> Applied Analytics Data Science and AI Stage
Cutting Edge Content

The unparalleled collection of keynote presentations, deep dive analysis, interactive discussion groups, panel debates, TIP sessions combined, will allow you to experience case studies, success stories, behind-the-scenes access from some of the most innovative companies in the world; all enabling you to answer the questions that matter the most, and re-define your strategy.

<span style="color:#fdb913" class="has-inline-color">[ M2 ]</span> Applied Analytics Data Science and AI Stage
Benchmarking

With highly crafted sessions reflecting strategic and tactical challenges that the delegates have identified as priorities, you will have the opportunity to benchmark your Data, Analytics and AI strategy and delivery against global companies and evaluate your next steps.

<span style="color:#812990" class="has-inline-color">[ M3 ]</span> Data Engineering Stage
Online Exhibition Hall

Visit more than 70 global solution providers and gain insight into new technologies, ideas and solutions by visiting their exhibitor pages. Check out their demos and arrange meetings with the vendors you need to know more from, to ensure that you have the right tools for delivering results.

<span style="color:#ed1c24" class="has-inline-color">[ M4 ]</span> Data Management Stage
On-Demand Content

Apart from participating live during the Summit, you will also have the ability to watch on-demand all the sessions presented at the event. The platform will be open for replay in duration of two months.

Why Attend

Data Innovation Summit is 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. Gain insight into radical ideas that are already proven to provide ROI in other organisations.

Join your peers from the comfort of your home or office!
That’s right – same great content, no travel required!

Use cases from some of the most data-driven and innovative companies in the world

+100 more Data, Advanced Analytics and AI use cases

What to Expect

An incredible couple of days celebrating five years of honouring data and AI innovation and all the DAIR Legends out there working towards our 2030 AI goals.

Our Brilliant Speakers

Data Innovation Summit speakers dive directly into the topic and focus on the key learning points. Listen to case studies from the best and most innovative names in the industry. The most influential speakers, right here, from around the world, ready to share their expertise.

That’s right – most influential speakers, no travel required!

K E Y N O T E

Martin
Willcox

EMEA VP of Technology
Teradata

learn more

K E Y N O T E

David
Dadoun

Head of Enterprise Data and Business Intelligence
Ubisoft

learn more

K E Y N O T E

Nick
Desbarats

Data Visualisation Evangelist
Practical Reporting

learn more

K E Y N O T E

H.E. Younus
Al Nasser

Assistant Director General
Smart Dubai

CEO
Dubai Data Establishment

learn more

K E Y N O T E

Patrick
van der Smagt

Head of AI Research
Volkswagen Group

learn more

K E Y N O T E

Jo
O’Connor

Principal Solutions Consultant
Adobe

learn more

K E Y N O T E

Daniel
Gillblad

Co-Director
AI Innovation of Sweden

learn more

Fabrizio Silvestri

Research Scientist
Facebook AI

Zheng Shao

Staff Data Scientist
LinkedIn

Emily Saliba

Data Scientist
Reddit

Rich Dutton

Head of Machine Learning for Corporate Engineering
Google Corporate Engineering

Peter Grabowski

Austin Site Lead of Enterprise Machine Learning
Google Corporate Engineering

Annica Wallenbro Stojcevski

Business Group Lead Cloud & AI
Microsoft

Jaun Manuel Contreras

Data Science Manager
Uber

Meha Saxena

Reporting Lead Architect
Electrolux

Michal Gancarski

Data Engineer
Zalando

Dao Mi

Senior Data Engineer
Netflix

Jonathan Peck

Technical Advocate
GitHub

Abhishek ‘AJ’ Joshi

Sr. Director
VISA

Zsuzsanna Ferenczi

Marketing Director, North Europe
Hewlett Packard Enterprise

Rajesh Munavalli

Distinguished Data Scientist
PayPal

Sahar Tahvili

Senior Data Scientist
Ericsson

Max Metral

Senior Analytics Manager
Formula 1

Jigyasa Grover

Machine Learning Engineer
Twitter

Takuya Hirakuri

General Manager, Digital Strategy Dept.
Mitsubishi Corporation

Rei Kubonaga

CTO
MC Digital

Meltem Ballan

Data Science Fellow
General Motors

Frida Nellros

Head of Connected Intelligence
Scania

Ashok Ramani

Computer Vision Machine Translation and AI Platform Lead
eBay

Brian Ames

STPM
Starbucks

Melisa Kleen

Head of Business Intelligence
Blinkist

Johannes Sæthre

Sr. Manager, Performance Management Strategy & Insights
Coca-Cola European Partners

Romeo Kienzler

Chief Data Scientist
IBM

Iiris Lahti

Data Scientist
BP

Ekaterina Garbaruk Monnot

Product Manager
Spotify

Juan Bernabe Moreno

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

Francesc Joan Riera

Applied Machine Learning Engineer
The LEGO Group

+100 more speakers waiting for you!

The Behemot…. The Schedule, the schedule 📅

Data Innovation Summit is constructed so it equally addresses all the elements of data-driven and AI-ready business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential.

Explore the sessions and build you own schedule based on topics and sessions you would like attend across all stages, days and workshop rooms.

<span style="color:#005baa" class="has-inline-color">[ M1 ]</span> Applied Analytics Data Science and AI Stage
P1 Keynotes Opening & Closing

A unique set of speakers are set to open the conference this year. The list consists of experts ad practitioners working for some of the most innovative companies in the world. Their speech is lifting this year’s theme “Towards Human Centred and Explainable AI “. All Keynotes are 20 minutes and in English.

<span style="color:#fdb913" class="has-inline-color">[ M2 ]</span> Applied Analytics Data Science and AI Stage
M1 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.

<span style="color:#812990" class="has-inline-color">[ M3 ]</span> Data Engineering Stage
M2 Analytics and Visualisation Stage

On this year’s Business Analytics Stage, we will focus on the latest methodologies of turning real-timve data from multiple sources into insight, Self-Service BI, Data Visualization, Prescriptive Analytics, and much more. As the day passes by, the presentations will dive into more in-depth topics and implementation examples.

<span style="color:#ed1c24" class="has-inline-color">[ M4 ]</span> Data Management Stage
M3 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 is on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data, Data Pipeline, Data Lineage, Modeling, Data Flow Monitoring, Feature Extraction and much more.

<span style="color:#005baa" class="has-inline-color">[ M1 ]</span> Applied Analytics Data Science and AI Stage
M4 Data Management Stage

Technical and Strategy track focusing on the 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.

<span style="color:#fdb913" class="has-inline-color">[ M2 ]</span> Applied Analytics Data Science and AI Stage
M6 Industry 4.0 and IoT Stage

On the IOT Analytics and Innovation 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.‎ ‎

<span style="color:#812990" class="has-inline-color">[ M3 ]</span> Data Engineering Stage
M8 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.

<span style="color:#009bde" class="has-inline-color">[ D1 ]</span> Data Octagon Stage
🔥 IGNITE | Bonus Stage

The presentations are a mixture of practical case studies on Applied Innovation, Analytics, Data Management, Data Engineering, Data Science, Machine Learning, Deep Learning, AI, IOT and much more.



<span style="color:#005baa" class="has-inline-color">[ M1 ]</span> Applied Analytics Data Science and AI Stage
💨 Accelerate | Bonus Stage

The presentations are a mixture of practical case studies on Applied Innovation, Analytics, Data Management, Data Engineering, Data Science, Machine Learning, Deep Learning, AI, IOT and much more.



<span style="color:#fdb913" class="has-inline-color">[ M2 ]</span> Applied Analytics Data Science and AI Stage
D1 Data Octagon Stage

Live streamed program providing insight into current data practices, trends, challenges and opportunities, as well as give an overview of the latest technological breakthroughs, and glimpse into the future of Data Management, Analytics and Automation. The program consists of 45-minute panels.

<span style="color:#812990" class="has-inline-color">[ M3 ]</span> Data Engineering Stage
TiP Technology in Practice Sessions

As a delegate you will have the opportunity to meet local and global Data Management, Advanced Analytics and AI software, hardware and service providers. A specific time in the program is dedicated for tech demos and presentations. These are called Technology in Practice sessions.

<span style="color:#009bde" class="has-inline-color">[ D1 ]</span> Data Octagon Stage
W1-6 Workshop (Crash-Course) Sessions

As on the 2019 edition, for this year’s edition we have set up several rooms for short workshops and crash-courses. The sessions are 100 minutes long and will provide training into various organisational, business, and technical topics.

We know, we know… We got carried away (a bit 😁) with the amount of sessions…
So, let’s make things easier for you.
and have all the info, neatly organised 😎

Co-Host Partner

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Media Partners 2020

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Freshest” articles from
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DataOps is breaking down silos between development, data and operations
What our PdMA experts say about the future of predictive maintenance

In the past month, we’ve talked to our PdMA experts who will be presenting at the Maintenance Analytics Summit 2020 and asked them to share their views on topics related to their presentation topics, current developments in the data- and AI-driven maintenance, but also on their outlooks on what the future holds for predictive maintenance.

Problems AI can solve in banking
Behind the scenes of detecting anomalies with deep learning at Airbus

As one highly interdependable and optimised industry, one minor anomaly in the airline industry may cause tremendous consequences. This is why detecting anomalies is beneficial not only for aircraft manufacturers but also for airlines and passengers. 

Understanding players in Tom Clancy’s The Division with data science
What to consider when implementing an HR dashboard

As everyone working with HR becomes aware of the importance of data analytics and its impact on enhancing recruiting, workforce management and performance, it’s a matter of time when the question of an HR dashboard is put forward. 

Is data-driven HR telling us all we need to know about our people?
How data analytics is redefining the metal cutting industry

The manufacturing industry has been undergoing a dynamic shift towards digitalisation. Advancing technology, sensors, connectivity and the ability to store vast amounts of data has encouraged manufacturing owner-operators to converge IT and OT and utilise machine data to gain useful insights.

Interested in past recordings?

Access keynotes, sessions and more from previous editions.

Iiris Lahti

Data Driven Design in Digital Media Services

DAY 2
M1 | Applied Analytics Data Science and AI Stage

12:00 - 12:20