Edge AI Summit


Edge AI Summit

26.12.2018 09:00
26.12.2018 18:00
United States , San Francisco, California


It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected.

Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.

The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.

The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe.


Satyen Yadav GM, IoT Devices, Edge Computing, ML at the Edge Amazon
Haseeb Budhani Co-Founder & CEO, Rafay Systems
Jemsheer Thayyullathil Chief Engineer, Viking Range
Moji Solgi Director, AI & Machine Learning, Axon
Maria Karaivanova Principal, Madrona Venture

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