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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

Tickets

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.

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Inspiring speakers and collaborators from

Moderator

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

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?

What can we expect from the future?

Lars Tvede, Entrepreneur

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.

How can AI improve your skin?

Daniel Jensen, CEO Nøie

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.

(Art)ificial intelligence

Ida Kvetny, Interdisciplinary artist

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.

Learning something new: using machine learning for scenarios with no historical data

Søren Vedel, Head of data and data science in Twill and Head of AIML products at Maersk

The objective of data science is to enable or guide better decisions for critical problems, but
traditional approaches typically fail for any situation which has not been encountered before. This talk will present active learning (also known as online learning), a class of machine learning which can obtain labeled data interactively, and present practical challenges identified during our implementation of this approach in Maersk.

How to succeed with GenAI for business presentations

Casper Guldager Senior Manager
Ellen Gregersen Junior Associate
@KPMG NewTech

Each day, a new generative AI tool pops up. They promise to revolutionize how we work, think, and create. But while AI might make us all productivity superheroes, we must also ask ourselves a critical question: How do we collaborate with these powerful technologies in a way that enables innovation rather than reinforcing human laziness?

Join us on a journey through our approach to crafting business presentations with the help of AI. From ideation through execution to presenting, we'll show you how to foster business success through close creative collaboration with AI.

Building scalable AI solutions

Michal Koltun Head of Data Science & AI

Nikolaj Thiesen Nielsen Product Owner
@ DSV

Learn from the real-world experience of DSV on how to scale your Machine Learning efforts in complex environments. Discover how they transformed an idea into a worldwide, advanced ML-based digital product in just 1.5 years, saving time and improving quality in the Procure to Pay process. Get inspired and leave with concrete advice on how to make your ML dreams a reality.

Succeed with AI by building AI products for users

Dan Rose, CEO & Founder TodAI

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.

How to make automation intelligent

Cecilia Clinch,
Chief Business Officer Nordics
Susanna Hellström Gefwert
Director Automation Engineering
ROBOYO

Wondering what "intelligent automation" means? Many organizations struggle to get value from their automation efforts because they automate without rethinking their processes.

In this short TED-talk format, Cecilia and Susanna have gathered real-life experience on the most common failures organizations do in their desire to implement and scale intelligent automation. Get hands on tips what to do to help your organization entering the next stage by understanding;

Why AS-IS processes is not intelligent and how to change that
Why you’re not gaining value from your efforts
The importance of combining AI + IA and knowing your data
The End 2 End journey requires a technical toolbox-thinking

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.

Build Your Own AI App in No Time

Martin Bern, AI Solution Manager @ TodAI

Develop a personalized AI application using your own data, even without data science expertise. Join Martin as he demonstrates how to utilize the Applied.ai platform and shares his experiences in crafting AI apps. This engaging and informative session is perfect for those interested in no-code AI and rapid prototyping. Don't miss this chance to learn how you can turn your AI concepts into reality swiftly and efficiently.

How to take on AI leadership and win the battle of digital trust
- and five other things the Board most likely should know about applied AI

Karen Lauberg Lauritsen
CEO & Managing Director

Lauberg Consulting

You?

Technology Shapes Behavior

Bo Steffan Nielsson, Behavioral Design Architect

Bo will elaborate on how AI can help organizational development by using new technologies to read perceptions and create culture indicators (CPI) to help leaders make better decisions based on knowledge and insights to be able to install more empathic choices.

Hosted in the beautiful setting
of Planetarium in Copenhagen

Gl. Kongevej 10, 1610 København V

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.

How I Learned to Stop Worrying and Love Generative AI

Anamaria Todor, Principal Solutions Architect @AWS

In this thought-provoking presentation, Ana will delve into the rapidly expanding realm of generative AI technology. With a focus on the latest advancements in text-to-image and large language models, Ana seeks to separate the hype from reality, and provide a comprehensive understanding of the most promising applications of this transformative technology. Additionally, the talk explores the significance of these developments for data scientists and technical professionals, providing valuable insights into the impact of generative AI on their roles.

Do we even need AI Ethics?

Therese Moreau, TechJournalist Version 2

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.

AWS DeepRacer

Competition

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

Practicing Clean Code in

Data Science

Jonas Høgh, Data Scientist @ Ekstra Blandet

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.

Building Scandinavia’s greatest card fraud detection model

Jonathan Schmidt Product Owner, Fraud Machine Learning
@ Nets A/S, Nexi Group

Eleven months ago, I was assigned ownership of Scandinavia’s most complex card fraud detection model, and asked to overhaul it within 20 months.

The team I joined was under-staffed, working on unrelated deliveries, and had little to no documentation of the mode’s operation.

While the work isn’t complete yet, we are now in a significantly better place.

This talk will be about how we got there, by combining technical, business and process perspectives.

Managing Millions of Models

Claus Dahl Manager of the Machine Learning Assets team @ Visma

Visma’s ML Assets serve hundreds of thousands of customers serving over 1 million individual ML models in the process. Scaling the ML train-eval loop to this size has it’s own set of problems. In this talk we’ll dive into some of the techniques and concepts we use to manage ML quality for our model fleet.

TBD

Ekaterina Sirazitdinova, Senior Data Scientist @ NVIDIA

Day 2: April 20

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.

Chasing the Unicorn: The tale of the Full Stack AI Developer

Sara Banderby, Arrow

In the quest for getting the perfect resource to connect ALL dots, often the data scientist is expected to know everything cross the discipline of AI. In reality, most data scientist struggle to embrace the full stack. However from a tool and model perspective many tasks are already available to jump the fence or utilize the shortcuts – but how?

In this session Sara provides insights in various elements of the stack and give ideas on how to approach and connect these tools, and how one might get one step closer to becoming the unicorn.

Graph ML; An intro to how everything is connected

Emil Pedersen, Staff Data Scientist Spotify

Do you sometimes feel that your models are dumb? That they don't really understand or use all the information in your data?
That they have a hard time to answer some of the questions that really matter to your business and customers?
That was how I felt a year ago!

That sent me down the path of Graph Neural Nets (GNNs). This is the talk I wished I heard a year ago. A high level intro to how graphs mix in with machine learning and 3 broad types of GNN methods that can be used for a range of different tasks - likely also something in your business.

It is good to have basic experience with machine learning, but you do not need to have heard about mathematical graphs or graph machine learning before - it will all be covered in this intro session.

Conquer Production Day with Confidence: A State-of-the-Art MLOps Workshop

Morten Lantow - Lead Data Scientist, MLOps @DSV

Join us for this Machine Learning Operations (MLOps) workshop, where we help you overcome the fear of production by going from lab to production utilizing state of the art MLOps methods! In this intensive and structured session, you will learn to identify signs of MLOps maturity and analyze real-world war stories to distinguish good, bad, and ugly practices.

Collaborate with peers to diagnose the underlying causes of three real-world war stories around MLOps. You will then be presented with a set of solutions from the MLOps toolbox and learn how to map these issues to architectural and cultural solutions, which will help you generate real-world value using the best practice MLOps technologies.

This hands-on and interactive workshop provides the opportunity to engage with specialists and peers in the field, allowing you to gain a deeper understanding of MLOps and the confidence to conquer production day. Don't miss out on this exciting and informative workshop!

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 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.

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

Last years' participants said

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

Inspiring speakers and collaborators from

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.

Hosted in the beautiful setting
of Planetarium in Copenhagen

Day 2: April 20

Data Science Methodology

Day 2: April 20

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.

Program

April 19
AI & Business

April 20
Data Science Methodology