Category - Nordic Data Science and Machine Learning Summit 2021

Nordic Data Science and Machine Learning Summit 2021

Chairman’s Opening Remarks and Keynote – Errol Koolmeister, H&M Group

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

Panel: Harnessing the full power of Data Science and ML Functions – Trends, Challenges and Opportunities

Panel on Harnessing the full power of Data Science and ML Functions – Trends, Challenges and Opportunities with Anders Arpteg, Head of Research at Peltarion; Robert Luciani, CEO at Foxrane; Daniel Tidström...

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

The Data Cloud and connected ecosystems of data – Fredrik Göransson, Snowflake

Working with data is great, but connecting data is greater. For Data Science and Machine Learning, access to all the data is the fuel of models and insights. Snowflake and the Data Cloud is an ecosystem of connected...

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

A glimpse behind the bank counter: how AI is changing Swedbank – Simon Whelan, Swedbank

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

Predicting customer behaviour in a low-frequency retail environment – Stephen Allwright, Elkjøp Nordic AS

Elkjøp Nordic is the largest electronics retailer in the Nordics with millions of regular customers spread across four countries. Understanding the behaviour of those customers is crucial to the business and allows us...

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

Follow the money: How to transform your organization into a cognitive company – Ernst Ahlberg, Stena Line

What does it take to build a cognitive company? What is required to succeed and how to get there. Key Takeaways Follow the moneyUnderstand the maturity level of your organizationStart small and build confidenceOwnership...

May 18, 2021

Nordic Data Science and Machine Learning Summit 2021

Recommendation System with Deep Learning and PyTorch – Hagay Lupesko, Facebook

We’ll dive into recommendation systems to understand the business problem and how deep learning can play a key role in solving this problem. We will go over a hands on example of creating and training a recommendation...

May 19, 2021

Nordic Data Science and Machine Learning Summit 2021

Panel: Trends and hypes in Machine Learning Model Factories & Management

Panel on Trends and hypes in Machine Learning Model Factories & Management with Errol Koolmeister, Head of AI Engineering at H&M Group; Nastaran Ghadar, Engineering Manager at Twitter; Anders Arpteg, Head of...

May 19, 2021

Nordic Data Science and Machine Learning Summit 2021

Machine Learning from classification to insight challenges in production – Stephan Schwarz, Mercedes-Benz AG

The session gives an overview on some typical fields to use machine learning in production. Based on a case study (stud welding) we show typical methods like classification and root cause analysis. Further first...

May 19, 2021

Nordic Data Science and Machine Learning Summit 2021

Building data team resilience in a turbulent world with MLOps – Shaun McGirr, Dataiku

2020 showed us the limits of a passive approach to change. Whether data teams were automating simple reports or running complex systems of machine learning models, too much changed at once to avoid significant...

May 19, 2021

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Category - Nordic Data Science and Machine Learning Summit 2021

Chairman’s Opening Remarks and Keynote – Errol Koolmeister, H&M Group

Panel: Harnessing the full power of Data Science and ML Functions – Trends, Challenges and Opportunities

The Data Cloud and connected ecosystems of data – Fredrik Göransson, Snowflake

A glimpse behind the bank counter: how AI is changing Swedbank – Simon Whelan, Swedbank

Predicting customer behaviour in a low-frequency retail environment – Stephen Allwright, Elkjøp Nordic AS

Follow the money: How to transform your organization into a cognitive company – Ernst Ahlberg, Stena Line

Recommendation System with Deep Learning and PyTorch – Hagay Lupesko, Facebook

Panel: Trends and hypes in Machine Learning Model Factories & Management

Machine Learning from classification to insight challenges in production – Stephan Schwarz, Mercedes-Benz AG

Building data team resilience in a turbulent world with MLOps – Shaun McGirr, Dataiku

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