Addressing Societal Challenges with Big Data – the annual DABAI conference 2018 – Københavns Universitet

DIKU will be hosting this year’s DABAI conference, where you will meet the people of DABAI – the largest big data center in Denmark – and gain insight into how big data analytics can create value for industry and society and become a key to better education, improving health care, reducing fraud, new strategies for addressing flood risk challenges etc.

After the official programme there will be networking, drinks and snacks.

Programme

(Find more information about the talks below)

09:30 Registration
10:00 Welcome
Head of Department Mads Nielsen, DIKU
10:05 Presentation of DABAI
CEO, Professor Ole Lehrmann Madsen, DABAI, The Alexandra Institute
10:20 The Danish Governments TechPlomacy Initiative
Mette Schiøtz Sørensen, Senior Tech Advisor, Ministry of Foreign Affairs
10:50 Teacher support through performance predictions, at primary school level
Johannes Kristjansson, Head of Innovation, Clio Online and PhD Student Stephan Sloth Lorenzen, DIKU
11:10 Coffee break
11:25 Machine Learning and advanced analytics in The Danish Business Authority
Carsten Ingerslev, Head of Office, Danish Business Authority
11:45 Big Data in the Public Sector - Challenges and Perspectives
Søren Ilsøe, Director Insight Strategy Analytics & Information Management, Deloitte
12:05 Lunch
13:05 Optimising Patient Flow - Learning from big data
Mikkel Harbo, Director, Business Development & Operation, Systematic
Kaj Grønbæk, Professor, Aarhus University
13:25 Optimizing personalized learning in primary schools
Founder & CEO Kasper Holst Hansen, EduLab and PhD Student Christian Hansen, DIKU
13:45 Climate change, big data and algorithms
Morten Revsbæk, Chief Executive Officer, Co-founder, SCALGO
14:05 Coffee break
14:20 Visma Advanced Analytics - where research meets business
Torben Ryttersgaard, CEO, Visma Consulting A/S
14:40 Big Data Driven Business Development in Danish Industry
Christian Hannibal, DI Digital
15:10 Coffee break
15:30 Reducing risk and increasing customer experience using machine learning
Tue Lehn-Schiøler, Chief Data Scientist, Danske Bank
15:50 Panel debate: Big Data - Big Opportunities - Big Challenges
Carsten Ingerslev, Erhvervsstyrelsen - Mette Sørensen, Udenrigsministeriet - Torben Ryttersgaard, CEO Visma Consulting A/S - Søren Ilsøe, Director Insight Strategy Analytics & Information Management, Deloitte
16:20 Close of conference
Head of Department Mads Nielsen, DIKU
16:30 Networking, drinks and snacks

The Danish Governments TechPlomacy Initiative
Mette Schiøtz Sørensen, Senior Tech Advisor, Ministry of Foreign Affairs

The race to become a world leader in technology based on the use of data is fierce. Increasingly the center of gravity is shifting towards Asia, and technological solutions are developed in countries that may not share our perception of privacy and cyber security. Mette Sørensen, senior tech advisor to the Danish tech ambassador, will present how the Danish government through technological diplomacy aims to corporate strategically with the tech sector and governments to address societal challenges of data use and technology.

Teacher support through performance predictions, at primary school level
Johannes Kristjansson, Head of Innovation, Clio Online and PhD Student Stephan Sloth Lorenzen, DIKU

Clio Online is the market leader in teaching material for the elementary schools in DK. Jóhannes will talk about the benefits and challenges that big data analytics faces in a market involving children and how the current implementation will help teachers make more informed choises about what teaching material to use.

Machine Learning and advanced analytics in The Danish Business Authority
Carsten Ingerslev, Head of Office, The Danish Business Authority

Carsten Ingerslev will present how advanced analytics and machine learning is used in production for accounting policies on financial statements, and the implementation of scalable ML infrastructure for future projects.

Big Data in the Public Sector - Challenges and Perspectives
Søren Ilsøe, Director Insight Strategy Analytics & Information Management, Deloitte

The public sector in Denmark has over the years been very supportive in using new technologies (e.g. cloud, big data, ML/AI, RPA) for digital transformation and services. It has been the ambition for the Danish State to make digitization an important tool in order to make the public sector more productive, modern and citizen-focused. The ability to use the vast amounts of data in the public sector has become a highly prioritized topic – not the least in areas of taxation, health, cross-public and public-private cooperation to bring data into more effective use. What have been the challenges and successes of building a large data environment in the public sector? What are the perspectives for data use in the future?

Optimising Patient Flow - Learning from big data
Mikkel Harbo, Director, Business Development & Operation, Systematic
Kaj Grønbæk, Professor, Aarhus University

In this session we will present examples of applying Machine Learning and Visual Analytics – in a hospital setting. We will show how the activity and flow of patients, visitors and employees are visualised and analysed – based on smartphone data. And we will present how service activity - and patient admission and discharge data is used to respectively balance workload and bed capacity in Danish hospitals.

Climate change, big data and algorithms
Morten Revsbæk, Chief Executive Officer, Co-founder, SCALGO

Morten Revsbæk will present how SCALGO is combining advanced algorithms with trillions of geometric data points, to help societies combat the effects of climate change and to build a growing business.

Visma Advanced Analytics - where research meets business
Torben Ryttersgaard, CEO, Visma Consulting A/S

Torben Ryttersgaard will give an introduction to how Visma Consulting addresses digital transformation - using knowledge from DABAI on big data, machine learning and national language resources - and make it available for value creation and business development.

Big Data Driven Business Development in Danish Industry
Christian Hannibal, DI Digital

Christian Hannibal will talk about the use of big data within Danish companies. Christian has been in charge of a digital task-taskforce within the confederation of Danish Industry with the purpose of inspiring more Danish companies to embrace advanced digital technologies. But what are the main learnings and what are the barriers for using big data?

Reducing risk and increasing customer experience using machine learning
Tue Lehn-Schiøler, Chief data Scientist, Danske Bank

Tue Lehn-Schiøler will give an introduction to how Danske Bank is employing machine learning to enhance the customer experience and reduce risks to the bank. In particular he will explain the infrastructure, the modelling philosophy and give some concrete examples of how models are build.