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This talk explores the unique challenges and opportunities of deploying AI at the edge, focusing on how edge AI devices differ from cloud-based solutions. Learn how integrated platforms for data, connectivity, and over-the-air software delivery can address the complexities of deploying and updating both firmware and ML models across remote, cellular-connected devices. Discover how these dynamic MLOps and CI/CD architectures enable new types of intelligence and solve real-world problems. Presented by Marek Poliks of PARTICLE, this one-hour discussion examines practical approaches to tackling the evolving landscape of edge AI implementation.
Syllabus
EDGE AI TALKS: REAL WORLD AI - TACKLING DYNAMIC MLOPS CHALLENGES
Taught by
EDGE AI FOUNDATION