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.
BIGGER • EXTENDED • MORE INSIGHTFUL • GLOBAL
Which stage fits you best? Explore the interactive expo map and discover what’s where on the event
Speaker Companies 2020
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
Keynote Speakers 2020
Speaker Lineup 2020
Royal Danish Academy of Fine Arts, Schools of Architecture, Design and Conservation
Head of Data Intelligence
Head of Enterprise Data Management