How to scale AI products from idea to production

Do you want to learn more about how to scale AI products from idea to production? In this talk, we will deep dive into one of the successful AI products from H&M Group: online sale price recommendations. You will learn about the evolution of this business critical product, from starting small to winning big. We will also share how we managed to answer the right question and how we build a team of top performers working together efficiently with the right strategy and technology.

• Four years in the making – how to scale and keep an AI product relevant in a fast-moving company
• How the right mindset and way of working can enhance the product team to do great things
• How technology is a key to having a successful product, but only if you let the problem lead the solution and not the other way around

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Linda Virkkala – Product Owner – AI Foundation | H & M

Linda Virkkala is a Product owner within the AI Foundation in H&M Group. Her responsibility is to create an awesome product that utilizes machine learning and data to enhance the H&M business. This includes leading the cross-functional team with a clear vision, roadmap and ways of working to bring out the best in her team members and solve the trickiest business problems. Prior to joining H&M Group she was working as a consultant at Accenture within Data & Analytics, where she gained experience from data analysis, visualization and big data in sectors like banking and telco.

Misbah Uddin – Competence Lead, Machine Learning | H & M

Misbah Uddin is a machine learning engineer and a competence lead at H&M. When he is not working on the next generation MLOps platform for H&M, he is helping H&M to recruit, grow, sponsor, and mentor top engineers and data experts. Prior to working in H&M, he has worked as a software engineer focusing on search engines in different industries. Before that, he was an academic researcher and earned a Phd in telecommunications from KTH The Royal Institute of Technology.