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On-device ML in E-commerce: Use Cases and Benefits

Organizations can realize the previously untapped potential of utilizing edge devices to deliver truly real-time ML-driven personalization. NimbleEdge has created a solution that captures real-time user interest and delivers one-to-one personalization to the user in a cost-efficient way at scale through our on-device managed ecosystem that replaces the ML cloud stack.

How NimbleEdge Cuts Cloud Costs of Real-time ML on Mobile by ~50%

Enterprises are increasingly deploying Machine Learning (ML) to enhance user experience and streamline business operations. However, deploying real-time ML in mobile apps at scale remains an expensive endeavor due to the large associated cloud costs. Learn how NimbleEdge helps organizations reduce cloud costs by ~50% for real-time ML systems on mobile apps.