Organized by:

Make AI practical, understandable, and inspire how to get value from AI in business.

Join us for two days of AI-focused knowledge sharing. Listen to inspiring speakers talk about best practices from Nordic companies that have worked with AI. Get important insights like: Where did they start? What went wrong? How did they move on?

Get inspired, network and learn how you can improve the value in your business, using AI.

Inspiring speakers from

Last years' participants said

‘’ TodAI hosts inspiring conferences about AI, and for a non-technical profile like me, I like that a lot of the speakers focused on how to work with AI strategically’’

Michaela Andersen
COO @ AI Innovation house

Day 1: April 19

AI & Business

AI how can we adopt, use and get value from AI in our business?
How did other companies apply AI, where did they fail and how did they succeed?

Lars Tvede, Entrepreneur

What can we expect from the future?

Award-winning serial entrepreneur, a successful financial investor and bestselling author. Lars Tvede's company Supertrends AG uses AI, text mining, statistics and crowdsourcing to map and visualise global innovation – crowdsourced from the entrepreneurs and scientists who are creating the future.

Daniel Jensen, CEO Nøie

How can AI improve your skin?

What if we could use AI to improve our skin?

By collecting clinical data on the characteristics of a person’s skin and lifestyle factors in online surveys and combining it with dermatological knowledge, feedback from users, and statistical modelling, NØIE has invented a unique method to customise skincare.

Ida Kvetny, Interdisciplinary artist

(Art)ificial intelligence

Ida Kvetny is an interdisciplinary artist based in Copenhagen, Denmark. Through virtual reality, Kvetny merges the digital with her works in paint and clay, and thus creates a multimodal visual world. Herein, the unconscious occupies a privileged space, where her intuitive approach to image creation leads to places unreachable by rationality.

Dan Rose, CEO & Founder TodAI

Succeed with AI by building AI products for users

Most AI projects fail to meet the expectations set by the business. Less value, higher costs and getting stuck in beta are typical situations.
Luckily there's a cure. The anatomy of AI solutions is like products, as users' ability to adopt, use and stay with the solution is the primary goal. This talk takes you through how to treat AI as product-building to get faster adoption and more value in less time.

Casper Guldager, Senior Manager @KPMG New Tech

TBD

Moderator

Barbara Isaksen
AI Consultant @TodAI & Women in AI Ambassador Denmark

Day 1: April 19

Breakout sessions

Before the conference you'll be able to choose a breakout session for an interactive workshop with one of the inspiring speakers and organizations.

Applied AI

Martin Bern from TodAI talks about building the easy to use AI tool: Applied

TBD

Want to host a breakout session? Contact Event Responsible Barbara Isaksen at barbara.isaksen@todai.ai

TBD

Want to host a breakout session? Contact Event Responsible Barbara Isaksen at barbara.isaksen@todai.ai

Day 2: April 20

Data Science Methodology

How do we go about managing projects and build AI that operates and

predicts at high quality and high scale.

Anamaria Todor, Principal Solutions Architect @AWS

TBD

Anamaria has worked in various technical roles from freelancer, full-stack developer, to data engineer, technical lead and CTO at various companies in Denmark, focusing on the gaming and advertising industries. She has been at AWS for over 3 years, working as a Principal Solutions Architect, focusing mainly on Life Sciences and on AI/ML . When she’s not working or playing video games, she’s coaching girls and female professionals in understanding and finding their path through technology.

Therese Moreau, TechJournalist Version 2

Do we even need AI Ethics?

Therese has been given access to the documentation of some of the Danish state's AI projects. The projects include how the state predicts long-term unemployment, and when there is a need to intervene in childcare cases. The common determinator is cases where ML has been used for ethically challenging domains. Therese gives her take on the quality and design of the public solutions.

Competition

AWS DeepRacer

AWS DeepRacer is the fastest way to get rolling on your machine learning journey. Developers of all skill levels, including those with no prior machine learning experience, can take advantage of DeepRacer by completing hands-on training to build reinforcement models to race for prizes and glory. The DeepRacer ecosystem teaches you the fundamentals of reinforcement learning with educational resources, an easy-to-use console, and real self driving RC cars.

Participate in the AWS DeepRacer competition at Applied AI Nordics.

Sign-up opens soon

Jonas Høgh, Data Scientist @ Ekstra Blandet

Practicing Clean Code in

Data Science

Jonas works as a Data Scientist at Ekstra Bladet, focusing on Natural language processing and Machine Learning, and is a board member of Danish Data Science Community.

In his humorous talk, Jonas will share his best tips on what to do when presented with completely unreadable code and his take on how to practice Clean Code, as a Data scientist, in the best way possible.

Ekaterina Sirazitdinova, Senior Data Scientist @ NVIDIA

TBD

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Nicolai Frost, Staff Machine Learning Engineer @ Corti

TBD

Breakout sessions

Sara Banderby

Arrow

Emil Pedersen

Staff Data Scientist

TBD

Want to host a breakout session? Contact Event Responsible Barbara Isaksen at barbara.isaksen@todai.ai

Program

Program

April 19
AI & Business

08.00

Breakfast & networking

09.00

Welcome

09.15

Keynote speakers

10.30

Break-out sessions

11.30

Lunch

12.30

Keynote speakers

15.30

Networking

April 20
Data Science Methodology

08.00

Breakfast & networking

09.00

Welcome

09.15

Keynote speakers

10.30

Break-out sessions

11.30

Lunch

12.30

Keynote speakers

15.30

Networking

Why attend

Why you should attend

Knowledge and Inspiration

We have invited a diverse set of experienced speakers to give their opinion on trending AI-related topics. The talks will also be centered around specific cases but from a business perspective more than a technical one.

Grow your business

By having this (case-focused) setup, we ensure that you gain insight into a variety of, perhaps recognizable, challenges and how to solve them using AI. At the end of the event/conference, you will be equipped with concrete examples and ideas on how to use AI to increase the value of your business.

Expand your network

Strenghten your network by connecting with a broad spectre of other AI-curious profiles. This event is for everyone, from the CEO to the Data scientist, so there will be great opportunity to broaden your perspective.

Hosted in the beautiful setting
of Experimentarium in Hellerup

Tuborg Havnevej 7, 2900 Hellerup

Meet at the conference

Get in touch

TodAI
Ewaldsgade 9, 2200 København N

kontakt@todai.ai
+45 29 27 99 86

Want to be a sponsor?

Contact
Dan.rose@todai.ai

Want to volunteer?

Become an Exhibitor

Contact
Dan.rose@todai.ai

Contact
Barbara.isaksen@todai.ai

Speakers

Program

Why attend

Contact

Organized by:

Sponsored by:

Make AI practical, understandable, and inspire how to get value from AI in business.

Inspiring speakers from

Last years' participants said

Day 1: April 19

AI & Business

AI how can we adopt, use and get value from AI in our business?
How did other companies apply AI, where did they fail and how did they succeed?

Day 1: April 19

Breakout sessions

Before the conference you'll be able to choose a breakout session for an interactive workshop with one of the inspiring speakers and organizations.

Day 2: April 20

Data Science Methodology

Breakout sessions

Program

April 19
AI & Business

April 20
Data Science Methodology