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Continuous Training and Deployment for Machine Learning (ML) at the Edge

Continuous Training and Deployment for Machine Learning (ML) at the Edge

Running machine learning (ML) inference in Edge devices close to where the data is generated offers several important advantages over running inference remotely in the cloud. These include real-time processing, lower cost, the ability to work without connectivity and with increased privacy. However, today, implementing an end-to-end ML system for edge inference and continuous deployment…
JFrog Connect: Ready for What’s Next for DevSecOps, Edge and IoT

JFrog Connect: Ready for What’s Next for DevSecOps, Edge and IoT

Today at swampUP, our annual DevOps conference, JFrog CTO Yoav Landman unveiled the next step toward making the Liquid Software vision of continuous, secure updates a truly universal reality.  We’ve introduced JFrog Connect, a new solution designed to help developers update, manage, monitor, and secure remote Linux & Internet of Things (IoT) devices at scale.…