Digital Tech Summit 2021

Be inspired. Get connected. Transform.

Be inspired. Get connected. Transform.

copenhagen from above

What is Digital tech Summit?

KPMG Denmark is a partner of Digital Tech Summit - one of Scandinavia's most important tech events. All of the universities in Denmark have joined forces with the IT industry and Teknologiens Mediehus to create a meeting point for the latest research and the companies driving digital development in Denmark and Scandinavia. Together, they will ensure that Denmark's strong research position in the field of digital technologies will lead to business for the country's leading companies and growth in small and medium-sized companies and unicorns, and will promote innovation and start-up activities in society.   

Digital Tech Summit will help participants strengthen their network, get up to date with the latest knowledge in digital technologies and be inspired by over 200 speakers and 70 exhibitors who will be attending the event. We now have the pleasure of inviting you to Digital Tech Summit.

Artificial intelligence, quantum computers and machine learning are technologies that are changing our world and becoming the major game-changer for Danish companies. Being a leader in digital technologies will be crucial not only for individual companies, but also for Denmark's competitiveness as a whole.

This year's special theme is how digitalisation and digital transformation can contribute to solving major societal challenges related to sustainability, health and growth.

Welcome to the KPMG session at Digital tech Summit

KPMG Denmark’s Newtech team will give a presentation under the topic “Unleash the value of your data through ML and AI” on the first day of the summit, 30 November at 16:00 – 16:30 at the KPMG Hall. After the session participants will have an opportunity to meet our speakers and continue conversation.

In case you are not able to attend our session at Digital tech Summit, you are welcome to our event, where we will discuss, how do you achieve successful implementation with your Machine Learning initiatives and how do you avoid the Machine Learning pitfalls that many companies encounter in their journey. Read more below and register.

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