If you look at these coordinated teams of organized operators and theft, self-checkout is the land of opportunity. So we’ve got to stay one step ahead of them and we’re going to accomplish that through AI.

– Mike Lamb, Vice President, Asset Protection & Safety, Kroger

We take a human-centered approach to how we solve our problems, and we believe that AI is really the opportunity, whether it’s generative AI or traditional AI, to solve these problems in a different way.

– Cari Covent, Head of AI and Emerging Technology, Canadian Tire Corporation

We aim to provide our customers with the best shopping experience. Our catalog contains over 150,000 products with 100 items being added every week. To ensure we can offer personalized recommendations at scale, we leverage machine learning for high-quality recommendations throughout the customer journey.

– Rick Bruins, Machine Learning Engineer, ASOS

To have the collaboration between our two companies, to be able to come back with our feedback and say here's what we found, here’s what worked great, and here’s what needs improvement, and by combining all those things together, we’ve had a very successful partnership.

– Kurtis Van Horn, Co-founder and Senior Vice President of Logistics, Implementation, and Production, AWM

Metropolis microservices are brought to life with reference applications that understand the traffic flow, create heat maps, and more. With Metropolis microservices, it’s easy to build, test and scale deployments from edge to cloud with enhanced resilience.

– Ying Feng, Director of Data Science and Analytics, PepsiCo

NVIDIA is pushing the boundaries, and people like us partner with them to try to open doors to inspire people.

– Benoit Pagotto, Co-Founder at RTFKT, Brands & Partnerships, Nike