Building AI-driven products – learnings from H&M and Oda

Madeleine Moritz

Product Owner

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H&M

Beginning her professional career in digital marketing, Madeleine has always been enthusiastic about the power of understanding customer needs, today and tomorrow. Her H&M journey started as a business controller, working closely with key functions such as buying and sales to ensure that the customer can find what they want, when and where they want it. She quickly learnt the value of turning data into actionable insights. With a passion for continuous improvement and an eagerness to drive change, Madeleine was drawn to tech development, where she could combine her favorite things, business and tech! Today, Madeleine works as a product owner for a machine learning product targeting price optimization, and she uses her experience to ensure that business needs are always the most central part of all development. She believes that with a cross-functional dream team anything is possible!

Kjetil Åmdal-Sævik

AI Strategy & Data Science Lead

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Oda

Throughout his working life, Kjetil has been drawn to the possibilities of solving problems with data and algorithms. He started his career in consulting, and moved on to leading a data science team within the consumer electronics sector, before he finally found himself at Oda to be a part of building the future of online grocery shopping and logistics with AI. Beginning as a hands-on data scientist in the company, he worked with product recommendations, forecasting, and supply chain optimization algorithms. Later he stepped into a management role, focusing on helping and mentoring both junior and senior data scientists across the company. In parallel, he spent a year as an MLOps Engineer working on infrastructure and internal tooling for data science and ML. He now has a leading role in helping the company at large and its data scientists truly unleash the potential in data and AI on the strategic level, but he still likes to write some code now and then!