AIOTGS-25 #A

Technical and Foundations Breakout

Sponsored by

Intro:
This hands-on technical session dives deep into the tools and frameworks that power today’s most advanced AI and machine learning systems. Participants will gain firsthand experience in building, deploying, and scaling intelligent applications using cloud-native services and infrastructure. Whether you’re optimizing models or integrating AI into full-stack systems, this session provides the foundation and tools you need.

With real-world examples and expert insights, this breakout focuses on bridging theoretical knowledge with production-ready solutions. Attendees will walk away with a better understanding of how to solve complex challenges using scalable AI architecture and best practices from some of the world’s leading tech organizations.

What to Expect:

• Step-by-step demos on deploying AI/ML models in the cloud

• Real-world case studies across conversational AI, IoT, and video analytics

• Best practices for scalable architecture using AWS services

• Tools for building intelligent data pipelines

• Techniques for moving from prototype to production

Who Should Attend:

• Developers and software engineers

• Machine learning engineers

• Cloud architects

• AI enthusiasts and students

• Technical product managers

Speakers:

• Tyler Merritt – CTO, UneeQ | At Last! We've taught the machines to speak our language. Conversational AI personified.

• Sam Sehnert – CTO, Custom D | From IoT Streams to AI Insights: Building Intelligent Data Platforms

• Greg Breen – Senior IoT Specialist Solutions Architect, AWS | Video-based driver monitoring with AWS IoT and AI/ML

• Sanjeev Sharma – Engineering Director, Parrot Analytics | Building GenAI Apps: From Foundational Concepts to Production-Ready Solutions for Innovation and Productivity