Scalability posts

Barbara Panel the Edge Management and Orchestration tool to deploy your AI models along with a centralized management to monitor all your edge devices, securely.

Most industrial companies (up to 77% according to a last-year study by IBM) are working or planning to work with AI and Machine Learning as a means to optimize their operations or enable new revenue streams. And Machine Learning Operations (MLOps) is becoming the paradigm as a work framework for the Data and Infrastructure teams involved. Understanding the MLOps workflow is crucial for those companies; but also for Barbara, who is at the forefront of Edge AI for industrial applications. So, let’s break down this workflow and see how Barbara integrates into each phase.

Embracing the future of Manufacturing with Edge AI

Deploying machine learning models across multiple locations is becoming critical for scaling AI. Whether you're building infrastructure or serving diverse clients, this guide covers key strategies, challenges, and best practices for successful multi-site model deployment.

Barbara helps grid operators deploy and maintain algorithms in real-time while complying with the highest cybersecurity standard