As organizations' appetite for seizing opportunities at the edge grows, data-driven industries must carefully select the right infrastructure to seamlessly scale from initial implementations to large-scale deployments across multiple facilities.This article explores why an Edge Management and Orchestration tool is essential for efficiently and securely scaling edge computing initiatives.

For industrial companies embracing AI, understanding the MLOps workflow is key to turning use cases into real-world results. In this post, we show how Barbara integrates seamlessly into each stage of the workflow especially where the edge plays a critical role.

Edge AI brings machine learning capabilities directly to edge devices, allowing real-time data processing and decision-making at the source without relying on cloud connectivity. This unlocks faster, smarter, and more autonomous operations across the shop floor. In this article we explore the challenges of embracing Edge AI in the Food & Beverage Industry.

The integration of Artificial Intelligence (AI) in automotive manufacturing is not a new concept. However, the shift towards the Edge where AI algorithms operate on the data generated at the source rather than being sent to a centralised server, is a game-changer. In this article we explore the main challenges of embracing Edge AI and why moving AI to the edge brings unprecedented levels of efficiency, safety, and sustainability to car manufacturers.

Barbara and Gridfy have joined forces to bring AI Flexibility algorithms to the Edge.‍‍ Gridfy has developed and implemented the AI flexibility algorithm located in one of Cuerva´s substations while Barbara has provided the Edge Infrastructure that deploys and orchestrates Artificial Intelligence at the Edge.

In industrial manufacturing, the cement industry is notable for its considerable environmental impact and high energy usage. Amid increasing environmental concerns and a drive towards sustainability, edge computing presents innovative solutions to improve supply chain efficiency, sustainability, energy conservation, and product traceability.

In the age of AI, the chemical industry finds itself on the brink of a major shift, propelled by the demands for enhanced efficiency, sustainability, and innovation.‍ Edge AI emerges as a key technological enabler, offering unparalleled capabilities for real-time monitoring and control, predictive maintenance, supply chain management, and enhancing sustainability and energy waste optimization.

In an era where sustainable and efficient energy solutions are more critical than ever, Barbara's recent partnership with other 33 companies in the ODEON project will contribute to the journey towards a greener, smarter energy future.

One more year, Barbara has been chosen as one of the top 100 Edge Computing Companies to watch in 2024 based on its accomplishments in 2023 and the exciting developments coming this year.