Barbara posts

In general, it is important to clearly understand your business requirements and the problem you are trying to solve when determining the best approach to automate the retraining of an active machine learning model. It is also important to continuously monitor the performance of the model and make adjustments to the retraining cadence and metrics as needed.

Barbara is currently actively participating in a series of Research and Development projects promoted by the Basque Business Development Agency (SPRI) and supported by the European Regional Development Funds (ERDF).

Under this framework of collaboration, Barbara´s cybersecurity and edge computing technology will run on Advantech devices. Likewise, Advantech will offer hardware that is pre-certified to run Barbara's secure OS, providing greater cybersecurity and usability on the installation, certification and maintenance processes of its devices.

Barbara and Mytra Control sign an agreement whereby the Barbara Industrial Edge Platform will be in charge of orchestrating the Edge projects deployed by Mytra and its customers.

In recent years, the debate between Cloud and Edge Computing has been a hot topic in the world of technology. While both technologies have their advantages and disadvantages, it can be challenging to determine which one is the best option for your application. In this article, we will take a closer look at both, their benefits and drawbacks, and ultimately answer the question: Cloud vs Edge, where should I deploy my application?

This year, STL Partners asked companies to provide more information on their financial milestones associated with edge computing, as well as for details on the practicalities of edge applications that they are enabling. By doing so, the firm was able to chart the increase in maturity of edge offerings, with more companies seeing significant revenue streams coming from their edge portfolio.