Blog

Release Notes

Barbara platform release 2.8.0: New AI frameworks, improved network management and much more

One of the key goals of the Barbara platform is to support data scientists and AI engineers in deploying their algorithms with minimal friction. In line with this, our latest release, version 2.8.0, introduces several new features, including support for additional development frameworks like ONNX and Pytorch, as well as GPU support, among others. However, these are just a few of the enhancements in the 2.8.0 release. Let’s take a closer look at all the updates.

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Edge AI for Computer Vision: What Industry Needs to Know About Optimizing Operations with Edge Computer Vision

In today's fast-paced and competitive landscape, optimizing operations is crucial for success. With the advent of cutting-edge technologies like Edge Computer Vision, businesses can gain a significant advantage by leveraging real-time data analysis and decision-making. In this article, we will explore what industries need to know about optimizing operations with Edge Computer Vision and how this transformative technology can propel their growth.

Industry at the Edge

What Companies Need to do to be EU AI Compliance

Artificial Intelligence (AI) is revolutionizing all industries, providing new opportunities and challenges for growth and innovation. However, with great power comes greater responsibility. The European Union (EU) has recognized the urgent need for ethical and transparent AI practices to protect individuals' rights and to ensure fair and accountable use of AI technologies. This article aims to guide companies on what they must do to comply with EU AI regulations.

Technology

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

‍‍In today's fast-paced business landscape, artificial intelligence (AI) and machine learning (ML) have become instrumental in many business processes. MLOps is a rapidly growing field that is revolutionizing the way Machine Learning models are being deployed and managed. By using MLOps in the Edge, organizations can take advantage of the benefits of local processing, increased security and privacy, and reduced bandwidth usage. This article delves into the advantages and challenges of deploying ML in the Edge.

Technology

MLOps state-of-the-art 2023 survey

Be part of MLOps at the Edge. This survey is an opportunity to be part of the 1st global MLOps report for ML/ AI teams. If you want to stay abreast of AI deployment at scale, join and take part in this survey.

Barbara

Green AI and the Critical Role of Edge Computing in its Success

With the rapid growth of artificial intelligence, the environmental impact of AI is a hot topic. Green AI aims to create sustainable, energy-efficient, and environmentally-friendly AI systems. However, achieving this goal requires a combination of different technologies and one of the most critical ones is Edge Computing. In this article, we'll explore Green AI, its importance, and the critical role of Edge Computing in its success.

Barbara

Transmission Substation Virtualization Use Case by Barbara

The main goal of virtualization is to provide a new operational environment, which is not bound to any computer hardware or operating system. Hardware components are typically designed to be robust and reliable, but they can also be expensive and difficult to modify or upgrade. Separating hardware from software allows for the software to be updated or modified without affecting the hardware.

Smart Grid
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Resources

Industrial Energy Efficiency Plan 2023

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How Edge Computing is changing the Industrial sector

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The state of cybersecurity in industry (only available in Spanish)

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