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Digital Tech Summit 2022

25-26 OCTOBER 2022

Digital Tech Summit 2022​

Digital Tech Summit is the largest academic based technology and ­business event in the Nordic countries. Our vision is to create the leading research-based tech meeting space in the Nordic Countries in order to interact and debate the most recent discoveries, participate in matchmaking events, and generate new ideas.

Digital Tech Summit is the largest academic based technology and ­business event in the Nordic countries. Our vision is to create the leading research-based tech meeting space in the Nordic Countries in order to interact and debate the most recent discoveries, participate in matchmaking events, and generate new ideas.

Conference, exhibition, deep tech and network event

Digital Tech Summit is part conference, part exhibition and part networking event with a broad range of keynote-speakers, sessions, debates and events.

At Digital Tech Summit research and industry join forces, when over 5,000 decision-makers, CEOs, researchers, companies, engineers, students, startups, investors, policymakers and more come together to discuss and share the “what, when, how and why” of the digital technologies and transformations.

  • You can attend as a visitor, whether you are professional, hobbyist or just curious.
  • For companies we offer a large exhibition area, where you can showcase your skills.
  • Students can join the event for free to broaden both horizon and network.
  • If you are a startup, we have a dedicated startup-area, and we invite you to participate actively to maximize your output.
Categories
Bridge project

Edge-based AI Systems for Predictive Maintenance

DIREC project

Edge -based AI systems for predictive maintenance

Summary

Downtime of equipment is costly and a source of safety, security and legal issues. Today, organisations adopt a conservative schedule of preventive maintenance independent of the condition of equipment. This results in unnecessary service costs and occasional interruptions of production due to unexpected failures. 

Therefore, it is imperative in many domains to transition from regular maintenance to predictive maintenance. The report ‘An AI Nation: Harnessing the Opportunity of Artificial Intelligence in Denmark’ estimates that enabling predictive maintenance via AI has a 14-19 billion potential for the private sector in Denmark. 

Together with industrial partners, this project aims to uncover how AI and data-driven methods can solve the problem, so that companies have the least possible wasted time when production is at a standstill. 

Project period: 2020-2024
Budget: DKK 12,24 million

The research aim of the project is methods and tools that enable industry to develop new solutions with accurate AI-based maintenance predictions on edge-based software platforms.

The resulting applications must be deployed to collect and process large amounts of data locally. This data feeds high accuracy predictive models deployed at the edge, adapted to changing local conditions, and maintained with minimum intervention from operators.

These models should cover abstractions allowing the understanding of relevant dependencies in the data. The key research problem is to devise architectures and solutions that scale to the entire fleets of equipment with accurate AI predictions.

This also requires that resources in terms of processing power, storage and communication, are optimised in order to obtain low-power and real-time performance, leading to a resource efficiency vs prediction accuracy trade-off. The project will establish a bridge to enable Danish companies to develop and use AI-based predictive maintenance within several domains.

Scientific value

The scientific value of the project is new methods and tools and associated knowledge of their performance and properties in field tests. These are important contributions to provide excellent knowledge to Danish companies and education programs within AI and IoT.

Capacity building

For capacity building the value of the project is to educate 3 PhD students (including 1 Industrial PhD) and 1 Post Doc in close collaboration with industry. The open source availability of general project outcomes and industry collaboration enable several exploitation paths. In addition, for the master-level the projects will offer an industry program to 15 students at 3 universities.

Business and societal value

The business and societal value is on a national level estimated to a 14-19 billion potential for the Danish private sector. In the project we target both the medical, robotic, industrial and energy sectors. These are Danish frontrunners in adopting the technology and creating inspiration for wider adoption by the Danish private sector. For the public sector enabling equipment with higher operation efficiency will positively impact the efficiency of the sector.

Impact

It is estimated that enabling predictive maintenance via AI has a 14-19 billion potential for the private sector in Denmark. 

News / coverage

Participants

Project Manager

Mikkel Baun Kjærgaard

Professor

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute

E: mbkj@mmmi.sdu.dk

Philippe Bonnet

Professor

IT University of Copenhagen
Department of Computer Science

Xenofon Fafoutis

Associate Professor

Technical University of Denmark
Dept. of Applied Mathematics and Computer Science

Jan Madsen

Professor

Technical University of Denmark
DTU Compute

Rasmus Larsen

AI Specialist

The Alexandra Institute

Alexandre Alapetite

Software Solutions Architect

The Alexandra Institute

Felix Blaga

Founder

Octavic

Kasper Hjort Bertelsen

PhD Student

IT University of Copenhagen
Department of Computer Science

Emil Stubbe Kolvig-Raun

PhD Student

Universal Robots

Ahmad Rzgar Hamid

PhD Student

University of Southern Denmark
The Maersk-McKinney Moller Institute

Emil Njor

PhD Student

Technical University of Denmark

Morten Boris Højgaard

Head of Incubation and Partnerships

Universal Robots

Miguel Enrique Campusano Araya

Assistant Professor

University of Southern Denmark

Partners

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Previous events

Danish HCI Day 2022

13 October 2022

Danish HCI Day 2022

In collaboration with DIREC, Aarhus University will host a Danish HCI day on October 13, following NordiCHI in Aarhus. Everybody in the Danish HCI community is invited to participate.

The schedule is tentatively as follows:

09.15  Hello and welcome
09.30  Keynote (to be announced)
10.15   One minute-madness
11.00  Group discussions
12.00  Lunch
13.00  Rework talk (to be decided)
13.45  Group discussions continued
14.45  Coffee
15.15   Wrap-up in plenary

The plan is that all submit 1 slide and prepare to talk for 60 seconds. The work is then discussed in groups mixed of young and old from across the departments.

More details to come, but please make plans to stay in Aarhus a day longer when you register for NordiCHI 2022