World Model · podcast knowledge graph

AI at the Edge is a different operating environment

2026-03-25 · 47 min · episode 350 · 6 entities

episode page audio

Asserted relationships

  • → hosted by Daniel Whitenack and Chris Benson person
    0.55
    evidence rules-v5
    Feed author/publisher: Daniel Whitenack and Chris Benson
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • → hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

Entities found in this episode

companys 4

  • mentioned Practical AI LLC company
    0.70
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC

persons 2

Episode description as stored
What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today. Featuring: Brandon Shibley – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Links: Read our Ultimate Guide to Edge AI Download your copy of O'Reilly's AI at the Edge   Check out the Edge Impulse blog Sign-up for an expert led trial of Edge Impulse Upcoming Events:  Register for upcoming webinars here !