Edge AI explained
The Rise of Edge AI The era of cloud computing initially saw a strong emphasis on centralized data processing and storage. However, the emergence of Edge AI has become increasingly crucial for several key reasons: Reduced Latency & Faster Decision-Making: Edge computing enables local data processing and storage, significantly reducing latency and enabling faster, more responsive decision-making. This is particularly critical for applications requiring real-time responses, such as autonomous vehicles or industrial automation. Enhanced Data Privacy & Security: Edge AI allows for data processing and analysis to occur locally, minimizing the need to transmit sensitive data to the cloud. This enhances data privacy and security, addressing concerns related to data breaches and unauthorized access. Improved Bandwidth Efficiency: By processing data at the edge, the need to transmit large volumes of data to the cloud is significantly reduced. This improves bandwidth… Read More »Edge AI explained