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Cloud-based video encoding services are gaining momentum owing to their scalability, flexibility, and cost-effectiveness. These services allow for dynamic allocation of resources to handle varying workloads, from live streaming to on-demand video processing. The shift toward cloud encoding also facilitates remote work and collaboration, a critical capability in today's increasingly digital and distributed work environments.
Artificial Intelligence (AI) and Machine Learning (ML) are being integrated into video encoding processes to optimize encoding settings, enhance video quality, and reduce file sizes. AI algorithms can analyze video content in real-time to make intelligent decisions about compression, bit allocation, and resolution adjustments, improving efficiency and viewer experience.