Scale Your IoT Architecture with AI at the Edge

#News(IoTStack) [ via IoTGroup ]

Headings…
Architecture
Scale Your IoT Architecture with AI at the Edge
AI and Edge: An Emerging Paradigm for IoT Applications
The Final Say

Auto extracted Text……

Once primarily cloud-based, IoT architecture is moving steadily to the edge.
Traditionally, the sensitive data IoT devices gather has largely been stored in the cloud.
That is, they need to process data locally to support real-time decision-making.
AI and Edge: An Emerging Paradigm for IoT Applications
It enables seamless data collection from IoT devices and associated storage and analytics.
AI at the edge uses a compact architecture, yet it offers a powerful computing approach that works to drive local data-informed decision-making.
The smarter an edge device is, the more expensive it would be, but at the same time, it can process and store enormous amounts of data locally, reducing the need to do so elsewhere.
Edge computing is thus applicable for enterprises internationally.
According to Tractica projections, AI edge device shipments will increase from 161.4 million units in 2018 to 2.6 billion units worldwide annually by 2025.
Some common AI-enabled edge devices, in terms of unit volumes, are head-mounted displays, smart automotive sensors, consumer and commercial robots, drones and security cameras.
Already, big players such as Microsoft, Google, Amazon and others have heavily invested in experimenting with solutions for AI-enabled edge computing solutions.
Why Deploy the AI Model on Edge Devices?
With edge computing, there is no need to transfer data to the cloud for processing; hence, the issue of latency does not exist.
For some applications such as airplane monitoring, medical imaging, autonomous driving and others, real-time response is crucial as AI-based decisions are made according to the real-time performance of IoT machines.
Edge computing enables users to store, process and derive intelligence from data locally.
With real-time information from edge computing, AI can ensure continuous processes by preventing sudden machine failures or breakdowns

Read More..
AutoTextExtraction by Working BoT using SmartNews 1.02810764966 Build 26 Aug 2019