Getting Started with 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.
Cut Cloud Costs for Real-Time ML on Mobile Apps by ~50% with NimbleEdge
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.