Play

Analytics & Data Science 2023

Trial and Error Method: Approaching Big Data Project for Mini EEV Lifetime Prediction – Egor Kolpakov, Danfoss

Data Innovation Summit 2019 2019

Connecting One Million Elevators and Escalators to the Cloud – Matti Laakso, KONE Corporation

Data Innovation Summit 2024 2024

News Classification with LLMs: Building Reliable Evaluation Datasets – Trine Engelund, JP/Politiken Media Group

Data Innovation Summit 2022 2022

Product Review with HP – Paulius Danėnas & Niels Van Rees, Intellerts

Data Platforms & Engineering 2026

Talking to Data – Generating Analytical Insights – Sebastian Herold & Timur Yüre, Zalando SE

Data Innovation Summit 2019 2019

PANEL: Review: Data Science and ML – Jonnie Rönnqvist, Tomas Hermansson and Hillevi Anderkrans

Data Innovation Summit 2021 2021

Data Science at Scale across Industries: Lessons Learned – Maxime Allard, IBM

Data Innovation Summit 2019 2019

PANEL: Data Management Trends and Challenges 2019 – Niall O’Doherty, Steve Neat and Tom Green

Analytics & Data Science 2025

Elevate Insights: How Data Science Drives Predictive Analytics at KONE – Terhi Markkanen, KONE

Nordic Women and Data Summit 2018 2018

Implementation of Information Governance in SEB – Annika Gedda & Salla Franzén, SEB

Data Innovation Summit 2024 2024

Introducing DBRX: New State-of-the-Art Open LLM – Toby Balfre, Databricks

Nordic Data Science and Machine Learning Summit 2023 2023

Keynote: It’s All Fake! How Dangerous are High-quality Data Collections in Generative AI & Deep Fake? – Love Börjeson, National Library of Sweden

Data Innovation Summit 2018 2018

Teams, Tools & Practices For Scalable & Resilient Data Value – Erik Zeitler & Per Ullberg

Data Innovation Summit 2024 2024

Role of AI in Data Management Evolution – Rakesh Singh, ABN AMRO Bank N.V.

Data Strategy & Governance 2026

How to fix the data problem to enable AI transformation – Maria Zelkovskaya, Danone

Data Innovation Summit 2016 2017

Prerequisites For Data Innovation: Model Mayhem – Johan Magnusson

Data Innovation Summit 2019 2019

Binary is Better for Everything – Robert Luciani, Hao Huang and Velisarios Miloulis, Laketide

Nordic Data Science and Machine Learning Summit 2023 2023

AI Act and Its Implications to Data Science, ML & AI Practices – Fredrik Heintz, Linköping University

Nordic Data Science and Machine Learning Summit 2019 2019

Building in-house recommendation engines – Celine Xu, Axel Johnson

Data Platforms & Engineering 2026

Driving Innovation in Master Data Management at Scania: Transforming Cloud Data into Intelligent Data Products – Joe Arun Mathews & Robert Ciborowski – Scania CV AB