MicroAI Co‑Founder Yasser Khan Discusses Edge vs. Cloud AI on Embedded Executives Podcast
In this week’s Embedded Executives podcast, Yasser Khan, CEO and Co‑Founder of MicroAI, shares his perspective on the ongoing debate between performing AI at the edge versus in the cloud.
With a background in distributed systems and a decade of experience in AI deployment, Khan argues that edge computing delivers lower latency, enhanced privacy, and reduced bandwidth costs—critical factors for real‑time applications in manufacturing, autonomous vehicles, and IoT.
However, he also acknowledges the benefits of cloud‑based AI, such as scalable training, centralized model updates, and the ability to leverage vast computational resources. Khan cites recent Gartner research indicating that the edge AI market is projected to grow 35% CAGR through 2027, while cloud AI continues to dominate large‑scale data processing.
MicroAI’s mission is to bridge these worlds, offering hybrid solutions that keep sensitive inference local while harnessing the cloud for heavy‑lift analytics. Khan emphasizes that the choice between edge and cloud should be guided by application requirements, data sensitivity, and cost considerations.
For more insights, listen to the full episode on the Embedded Executives podcast series.
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