Scalability posts

Intelligent Power Grid with Barbara Edge AI

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

Industry at the Edge

Barbara has joined the E4S Alliance, contributing to the expansion of the Grid Digitalization Ecosystem

Barbara joins E4S (the Edge for Smart Secondary Substations Alliance to endow the Digital Grid with distributed intelligence based on its groundbreaking Edge AI Platform infrastructure.

Partnerships

Overcoming the Challenges of Deploying Computer Vision Models at Scale

Deploying computer vision models in production is a complex endeavor that requires a holistic approach that inlcude data, models, infrastructure, and processes. By addressing the challenges of data acquisition, model selection, infrastructure, CI/CD, monitoring, and ethical considerations, organizations can successfully deploy computer vision models at scale.

Industry at the Edge

MLOps at the Edge: Advantages and Challenges of Deploying Machine Learning Models in Edge Computing Environments

Discover the benefits of implementing MLOps at the Edge for faster data processing, improved security, and reduced latency. Learn how to overcome the challenges of deploying machine learning models in Edge devices.

Industry at the Edge

Federated Data Spaces: A key piece for scaling innovation in the Industry

Federated Data Spaces refer to the idea of multiple linked data spaces, allowing data to be shared between different organizations, domains or even countries, exerting a multiplier effect of new use cases and innovation in the Industry.

Industry at the Edge