During this first edition of the Data & AI Circle Sverige in Stockholm, we are excited to dedicate this morning to AI for Retail. AI is already revolutionizing the retail industry across the full value chain – from store operations to assortment management, to Retail Media. To illustrate and explain how to scale AI use cases to improve sales and profitability, we have three excellent speakers coming over.
The first is Djamel Mostefa from Adeo, Head of Data & AI at Adeo. Next up, we have Alexander Percivall, Senior Partner Engineer at Google Cloud Nordics. And the last but definitely not least speaker is Elina Ashkinazi-Ildis, who is currently a Retail Partner at Artefact France and who has previously worked at Carrefour, one of the largest global retailers, where she built and ran the Carrefour-Google AI Lab.
In the second of a series of events in Stockholm, Djamel, Alexander, and Elina will dive deep into the opportunities and challenges of AI for Retail.
Agenda
Speaker(s)
Elina Ashkinazi-Ildis, Partner Consulting
Artefact France
Djamel Mostefa, Head of Data and AI
Adeo
Alexander Percivall, Senior Partner Engineer
Google Cloud Nordics
Charlotte Påhlman, Head of Business Development GMP Northern Europe
Google Marketing
Grégoire Bouyer, Partner Manager
Google Marketing
Arnold Struik, Managing Partner Europe
Artefact
Arnold is Managing Partner at Data & Consulting Artefact Europe, where he leads end-to-end data and AI-driven business transformation. With a background in strategy consulting at BCG and leadership roles at SparkOptimus and Royal Ahrend, he brings deep expertise in innovation, digital transformation, and sustainable business. He also co-founded Ahrend Hergebruik and serves on the board of Go Ahead Eagles.
Sid Mohan, Senior Director of Data Science
Artefact Northern Europe
Sid is a Senior Director of Data Science & AI at Artefact with over 7 years of experience, progressing from Senior Data Scientist to leading global initiatives in Marketing Measurement, Causal Inference, and Agentic AI. He specializes in interpretable, explainable AI and causal modeling, and has led high-impact programs across Financial Services, Luxury, Pharma, and Consumer Electronics. He also focuses on reasoning and inference for LLM-based and Agentic AI systems. Sid is recognized for his technical leadership, problem-solving mindset, and strong commitment to Responsible AI.
