Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

This article summarizes an interview with Calvin Seward, a research scientist at Zalando, a major European e-commerce company. The interview focuses on how Seward's team used deep learning to optimize warehouse operations. The discussion also touches upon the distinction between AI and ML, and Seward's focus on the four P's: Prestige, Products, Paper, and Patents. The article highlights the practical application of deep learning in a real-world business context, specifically within the e-commerce and fashion industries. It provides insights into the challenges and solutions related to warehouse optimization using AI.

• •The interview focuses on the application of deep learning in warehouse optimization.
• •Calvin Seward, a research scientist at Zalando, is the subject of the interview.
• •The discussion includes the distinction between AI and ML, and Seward's focus on the four P's.