This post delves into how Barbara 's MLOps capabilities make deploying AI models like ResNet18 to edge devices effortless and remote, all managed seamlessly through a single, intuitive console. Discover more.
Organizations across all industries are rapidly deploying edge computing to address challenges related to latency, cost of bandwidth, data sovereignty and control, or business continuity. Industry edge solutions address a variety of business outcomes through different use cases enabling digital transformation across industries. After initial deployments, organizations are starting to ask for vertically integrated edge computing solutions and packages more tailored to their specific needs according to the Gartner® Hype Cycle™ report for Edge Computing.
The 181 zettabytes of data generated annually by over 13 billion devices exceeds global internet bandwidth, posing challenges for cloud computing due to high costs, latency, and security concerns. Edge computing processes data locally, offering efficient, secure analysis without constant connectivity. Barbara’s Industrial Edge Management and Orchestration Platform simplifies managing this infrastructure by providing cloud-like capabilities on-premises and bridging the IT-OT gap.
One of the most transformative technologies that have emerged in recent years is software containerization, which revolutionizes the way industrial companies develop, deploy, and manage their software solutions. Kubernetes is very useful for large, cloud-dependent workloads like web applications, but it is not optimal for smaller, more industrial-oriented workloads that must operate in complex, isolated environments. In this article we explain why.
This is the second article in our series examining the challenges of Digital Transformation in industrial companies as they advance toward full IT-OT convergence. In this edition, we turn our attention to "Data Journey".
As organizations‘ appetite for seizing opportunities at the edge grow, scaling from a single use case in one facility to various uses cases in multiple locations poses a significant challenge. This article highlights the importance of implementing an Edge Management and Orchestration tool to efficiently and securely scale edge computing initiatives.