In today’s demanding landscape, engineering leaders are tasked with delivering cutting-edge software solutions while balancing costs and protecting user privacy. This talk explores how Edge AI enables mobile, web, and desktop applications to run powerful AI models directly on devices—without reliance on cloud infrastructure or internet connectivity.

We’ll dive into real-world examples, showcasing models like Gemma 2 and Llama, and demonstrate how to optimize, fine-tune, deploy, and integrate them for privacy-focused, cost-effective solutions tailored to your specific needs. Learn how Edge AI eliminates the need for expensive cloud services, ensures data security by keeping it on-device, and delivers real-time performance for smarter, more efficient applications.

This session will also cover key strategies for decision-making, trade-offs, and architecture planning, providing actionable insights to future-proof your tech stack while enhancing developer experience and achieving outstanding results under tight constraints.

Ideal for engineering managers, senior ICs, and technical leaders, this talk offers a practical guide to balancing innovation with resource optimization in 2025 and beyond.