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Industry at the Edge

Analysis and opinion on how software and AI are changing industrial operations, from the newsletter of the same name.

All Industry at the Edge

Security camera in a blurred warehouse aisle with detection overlays and the text Edge AI

Industry at the Edge

May 24, 2023

·

Jaime Vélez

3

min

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.

Robotic hand touching a translucent shield and padlock interface on a light grey background

Industry at the Edge

May 23, 2023

·

Jaime Vélez

5

min

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.

Illustration of a neon brain-shaped circuit above a glowing chip platform on a dark blue background

Industry at the Edge

May 20, 2023

·

Jaime Vélez

8

min

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.

Digital green dotted planet Earth curving across a dark background

Industry at the Edge

May 16, 2023

·

Jaime Vélez

4

min

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.

Electrical substation with transmission towers and power lines under a blue sky

Industry at the Edge

May 15, 2023

·

Barbara

4

min

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.

Industry at the Edge webinar banner on AI in industry, 3 May 2023, with four speakers and partner logos including Barbara

Industry at the Edge

April 25, 2023

·

Barbara

1

min

Artificial Intelligence in Industry: Main applications and its progress towards the Edge

Replay this webinar given by some of the top leaders in AI in Spain about the most important Machine Learning applications and how their deployment is getting closer to the source of data to ensure privacy and enable real-time decision making.

Gartner 2023 Emerging Technologies and Trends Impact Radar chart

Industry at the Edge

April 16, 2023

·

Barbara

6

min

The Emergence of Edge AI. A Game changer for Industries

Gartner's Emerging Technologies and Trends Impact Radar shows IT leaders where to capitalize on market opportunities. Its latest feature for 2023 points to EDGE AI as the next breakthrough technology. With the growing demand for real-time AI solutions and the need for decentralized data processing, AI at the Edge has been positioned as a critical technology this year.

Kubernetes logo connected to icons for Self-Healing, Automated Rollbacks, Auto Scaling and Load Balancing

Industry at the Edge

April 16, 2023

·

Jaime Vélez

4

min

Barbara the Kubernetes of the Edge

As organizations adopt Edge Computing and Edge AI to power real-time decision-making in industrial environments, traditional tools like Kubernetes fall short. This article explores the evolution from monolithic systems to containerized microservices, the limits of Kubernetes at the edge, and how Barbara’s platform empowers secure and scalable orchestration in distributed, offline, or resource-constrained scenarios.

Hand touching an AI chip icon beside a red padlock in a digital network interface

Industry at the Edge

April 14, 2023

·

Jaime Vélez

8

min

Confidential AI: The Edge as an Infrastructure for Private, Compliance, and Secure AI Deployment

AI is transforming the way businesses operate, but it also introduces new security concerns. Companies must protect their data from cyberattacks, comply with data protection regulations, and ensure their AI models are ethical and transparent. Deploying AI at the Edge can provide a secure infrastructure for private, compliance, and secure AI deployment.

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