Join us for a high-impact meetup featuring six innovative companies that have successfully implemented Gen AI solutions in production environments using Amazon Bedrock.
This is your opportunity to learn directly from technical leaders who have navigated the challenges of deploying generative AI at scale.
In this focused session, you'll gain insights from Wiz, Bridgewise, Cato Networks, Moovit, Komodor and Skai-Kenshoo as they showcase their very own production implementations. Each company will present their architecture decisions, integration challenges, and business outcome.
- Learn proven implementation strategies from companies that have successfully deployed generative AI in production.
- Understand the technical considerations for scaling Amazon Bedrock in enterprise environments.
- Discover how these companies overcame common obstacles in AI deployment.
- Network with fellow Tech Leads, Engineers, Data Scientists and AI practitioners tackling similar challenges.
- Technical Decision Makers looking to empower their GenAI strategy.
- AI Engineers looking for production-tested architectural patterns.
- AI Enthusiasts looking for practical advisory on implementing real world GenAI solutions.
- DevOps professionals managing AI deployment pipelines.
Don't miss this rare opportunity to bypass the hype and access practical, actionable insights from technical teams who have successfully brought generative AI to production. Space is limited – register today!
Moovit, a Mobileye subsidiary and top Mobility as a Service provider, develops the leading urban mobility app used by millions. This session explores how Moovit implements Generative AI to innovate and improve urban transportation operations, showcasing our successful integration of AI from concept to deployment.
Sharon Dahan, Cheif Architect at Moovit
This session explores Wiz’s journey in transforming complex queries into simple natural language interactions using Amazon Bedrock. We’ll share how combining prompt engineering with RAG implementation helped achieve query accuracy in production. The session covers key challenges, technical solutions, and practical insights for teams looking to implement similar AI-powered search capabilities in their production environments.
Erez Harush, AI Research Lead at Wiz
Discover how we transformed customer operations using Amazon Bedrock's GenAI capabilities. We'll showcase two key innovations: an automated security insight engine and intelligent free-text search conversion. Learn about our journey from concept to production, including why we chose Amazon Bedrock and how we overcame implementation challenges to enhance security, search, and user experience.
Naor Kalbo, Principal Researcher at Cato Networks
Daniel Pienica, Data Scientist at Cato Networks
An interactive panel discussion where you can engage directly with the speakers in an "Ask Me Anything" format. Get candid answers about their Amazon Bedrock implementations, technical challenges, and lessons learned from their production deployments. This is your chance to dive deep into specific aspects of GenAI implementation with experts who have successfully navigated this journey.
