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.
IOT Analytics and Industry 4.0 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.
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.
BIGGER • EXTENDED • MORE INSIGHTFUL • GLOBAL
Timo Elliott on
Data Innovation Summit 2018
What is new?
As in the 2019 edition, we are continuing with the two-day setup. To accommodate the 2200 delegates expected on this edition and still provide a great experience, we are utilizing the full capacity of the venue including the lower floor of the venue where this year’s workshops (crash course sessions) will take place. We are continuing with the same successful expo setup as last year that not only provides a natural movement flow between stages, but also accommodates the ambition of the conference to cover the entire spectrum of data innovation organisational and topic complexity. The agenda is yet again spread across two days, in a total of 6 stages plus plenum room, 6 new workshop rooms, new “Data after Dark” networking feature on the first day and new Clinic Room for deeper dive in conversations. More than 100 presentations, 30 workshops, 20 panels will take place during the event. As last year, the event is a hybrid with on-stage program and on-line live program streamed directly on our social media channels (Twitter & YouTube).
This edition will again focus on data-first and AI-ready practical technical and business case studies. The program has 6 stages: Applied Analytics Data Science and AI; Analytics and Visualisation; Data Engineering; Data Management; IOT Analytics and Industry 4.0; Machine and Deep Learning. All presentation are still 18 minutes with 10 minutes 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.
Data Clinic Area
Too often delegates want to meet the speakers after their presentations and ask questions. For this purpose, we are building the Clinic Area. A semi unconference model area with round table sitting where you can not only meet the speakers after their presentation and exchange experience, but also take part in the round table discussions organised by other delegates and partners. The program is partially set by us, and partially organised by the delegates.
Six Workshop Rooms
To provide a deeper insight into specific topics, on request by the delegates, as last year we will have six workshop (crash-course) rooms, 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 and limited to maximum of 40 participants. Although free of charge, the places are on first-come first-served basis and require pre-booking. Once the room capacity is reached, a waiting list will be open. The room capacity is indicated in the agenda, web page and the event app.
Live streamed program providing insights into current data practices, trends, challenges and opportunities, as well as give overview of the latest technological breakthroughs, and glimpse into the future of data management, analytics and automation. The program consists of 30 to 45-minute panels and 20 minutes Tech News and it will be streamed live online on Hyperight Youtube and Twitter channel.
Over and over again delegates are asking for more networking time. On this edition we are introducing new features that will increase the opportunity for you to meet and network with the delegates. We will start the conference with a 30 minute speed networking session and time to explore the venue set up. You will also have the opportunity to meet the exhibitors, find a coffee buddy, enjoy a night out with your peers and new contacts, and have a coffee with them the day after.
In the expo area you will have the opportunity to meet local and global data management, analytics and automation software, hardware and service provider. A time in the program is dedicated for live demos and presentation on the exhibitor booths.
Which stage fits you best? Explore the interactive expo map and discover what’s where on the event
Meet the most innovative companies in the world
Anna Felländer on
Data Innovation Summit 2019
Speaker Companies 2020
Get access to a cutting edge and premium content
Doug Cutting – Creator of Hadoop on
Data Innovation Summit 2019
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.
Meet the Exhibitors
Coffee and Networking
Technology in Practice – Round 1
Chairman’s Closing remarks
Networking Cocktail and Booth Crawl
Data after Dark
Chairman’s Opening remarks
Data Café – Find a coffee buddy
Technology in Practice – Round 2
Chairman’s Closing remarks
Meet some of the biggest names in the industry
Errol Koolmeister on
Data Innovation Summit 2016
Keynote Speakers 2020
Data Visualisation Evangelist
Patrick van der Smagt
Head of AI Research