If you haven’t heard of edge AI yet, it’s time to take notice. This emerging technology is set to revolutionize how AI processing is handled, with promises of enhanced efficiency and rapid response times.

Baris Sarer, the global leader of Deloitte’s AI practice for technology, media, and telecom, explains the paradigm shift that edge AI brings. Instead of relying solely on cloud servers, which require data to be transferred back and forth, edge AI allows for the deployment of AI models directly on user devices. These devices may include smartphones, PCs, IoT devices, and other local hardware, enabling data generation and processing to occur on-site.

This local processing capability allows for real-time decision-making, significantly reducing the latency and costs typical of public cloud connections. Moreover, it addresses privacy concerns by keeping data processing closer to the source, increasing security and efficiency.

As this technology continues to develop, businesses may find that integrating edge AI can lead to a stronger competitive edge, allowing them to respond faster and more effectively in today’s data-driven landscape.

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