We've just launched an to Barbara 2.7.5, a version focused entirely on enhancing your user experience and a big step in our journey to make Barbara the most UX-friendly Edge AI platform in the market.

When implementing a data-based strategy, it all starts with the Data. One of the typical sources to extract data are IoT devices. Knowing which IoT communication protocols exist and how to use them for data communication is essential as they are the ones that make data gathering from them possible.

The food and beverage industry stands on the brink of a new era, driven by the transformative power of Artificial Intelligence in the Edge. By processing data on-site, businesses can immediately adjust operations, predict maintenance issues, and ensure product quality, directly impacting their bottom line. In this article we explore the challenges of embracing Edge AI in the Food 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.

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.

Many companies find themselves underprepared for the complexities involved in expanding their projects within the Edge. Proof of concepts (POCs) typically focus on one or a few locations, but if successful, they must scale to hundreds or even thousands of locations. This article highlights key considerations for technology leaders navigating the Edge AI landscape.