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Embedded ML: The New Secret Weapon to IoT Success

Arun Rajasekaran Arun Rajasekaran
41:54
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Embedded ML: The New Secret Weapon to IoT Success

Arun Rajasekaran
41:54 EOC 2021
Arun Rajasekaran

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41:54

About This Session

Attempting to add-on AI and ML modeling to existing IoT networks delivers marginal results compared to when it's designed into the architecture. Organizations that have accomplished this in their IIoT/IoT architectures can support model processing in multiple stages of their solution while reducing networking throughput and latency, making everything more purposeful and even more secure.

About Arun Rajasekaran

Arun Rajasekaran
Arun is a seasoned, cross-functional engineering leader, an innovator, and a thought leader in all aspects of embedded systems: from silicon to software. Arun currently leads Market development and Business development efforts for Edge Impulse – a ground-breaking embedded machine learning development and deployment platform. Previously, as CTO of Voice BU at Poly, Arun led Technology Strategy and Technology Platforming efforts with a focus on wearable technologies. Before becoming the CTO, while his primary focus was around leading Plantronics' product development teams responsible for IoT-to-Cloud system architecture, embedded software, audio DSP, AI/ML technologies, and data insights & analytics, he was also leading Plantronics's strategic collaboration and partnership efforts with silicon, SaaS, and other ecosystem partners. Prior to Poly, Arun has held various engineering leadership positions at BlackBerry/RIMM, Ikanos/Conexant/GlobeSpan, and 3Com/USRobotics.

About Edge Impulse

Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises.
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