From Proof of Concept to Production: Making AI Work in Your Product

At the mid-point of 2026, most software companies have already begun their AI journey. Yet despite significant activity, many remain stuck between experimentation and production. While early use cases demonstrate promise, turning them into reliable, scalable and customer-ready features introduces new challenges around evaluation, latency, cost and trust.

Bridging that gap – moving from pilot to production, and laying the foundations for scalable, AI-native products – remains a key focus for many. So what does success on that journey look like? What are best-in-class firms doing well, and what can you learn from them? And how do you put the right architecture, infrastructure and governance strategies in place to enable long-term progress?

Join AWS and a community of your peers to find out, and explore how to gain the clarity, consistency and control needed to successfully move from proof of concept to production when it comes to AI.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from global data centers. Millions of customers, including the fastest-growing startups, largest enterprises, and leading government agencies, leverage AWS to reduce costs, enhance agility, and accelerate innovation. Since 2006, we've transformed industries and lives by working backwards from our customers' needs to provide tailored cloud infrastructure solutions.