AI-Powered Video Delivery Optimization Case Study

This case study details the collaboration between Visionular, a deep-tech company specializing in AI-powered video solutions, and Akamai, a cloud service provider. The document outlines the challenges Visionular faced, including rising cloud costs, latency issues during live-streaming events, and the need for scalable multicloud workflows. It explains how Visionular sought a cloud provider that could offer predictable pricing and high-performance compute optimized for video processing. The case study presents the key reasons for choosing Akamai, such as its edge native architecture, modern hardware, and deep expertise in media delivery. It also describes the seamless migration process to Akamai’s platform, which resulted in significant cost reductions and improved performance metrics. The outcomes highlighted include a 40% reduction in compute and storage costs, lower latency for global streaming, and enhanced customer experiences. Visionular aims to democratize video experiences while leveraging AI for continuous optimization in video delivery.