Fashion Forecasting: Arti Zeighami on Implementing AI at H&M Group

Arti Zeighami’s interest in artificial intelligence started when he read science fiction as a teen. Yet as head of advanced analytics and AI for global retailer H&M Group, his leadership style focuses on reality: first building a business case and a proof of concept, and then undergoing an agile process of iteration and scaling, failure and success, measurement and improvement. In this episode, Arti talks about weaving AI into the value chain in the fashion industry — specifically around personalization, pricing, merchandising and forecasting. He has coined the term amplified intelligence — where humans and machines work together — and in this episode shares stories and practical tips on how teams can get started and scale successfully. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/audio-series/me-myself-and-ai. Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group. Its engineer is David Lishansky, and its coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Arti Zeighami is a senior executive and a business leader at H&M Group. As chief data and analytics officer, he is responsible for all AI, analytics, and data capabilities across all of the company’s brands. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.