AI on the Edge - Challenges, Benefits, and Implementation Strategies

Explore the intersection of Internet of Things (IoT) and artificial intelligence in this 40-minute webinar from Canonical Ubuntu. Delve into the challenges and benefits of implementing AI on edge devices, from healthcare instruments to autonomous vehicles. Learn about building end-to-end architectures for AI at the edge, addressing issues like latency, security, and network connections. Discover how to identify high-ROI use cases and define suitable architectures, considering both data center and edge components. Examine the role of open source solutions in enabling edge devices and navigate the wide variety of available options. Gain insights on securing ML infrastructure, scaling embedded ML projects, and leveraging AI at the edge for cost optimization, real-time insights, and task automation. Understand common use cases, implementation strategies, and the significance of open source in the Edge AI landscape.