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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

Light bulb shattering into fragments against a dark blue background, with the words Edge AI

Industry at the Edge

January 21, 2025

·

David Purón

5

min

Edge AI in 2025: Bold Predictions and a Reality Check

By 2025, analysts predict that 50% of enterprises will have adopted edge computing, up from just 20% in 2024. At Barbara, we’ve seen this momentum firsthand, with inquiries about Edge Computing and AI increasing fourfold in 2024 alone. While the potential of Edge AI is undeniable, its widespread adoption brings both opportunities and challenges. In this post, we dive into key predictions for Edge AI in 2025 and examine the challenges the industry must overcome to unlock its full potential.

Barbara Panel screens deploying a ResNet18 PyTorch model, with framework selection, server logs and an inference URL

Industry at the Edge

December 2, 2024

·

Enrique Ramírez

5

min

Optimizing AI Deployment on Edge Nodes with Barbara

This post explores how Barbara’s MLOps capabilities simplify the remote deployment of AI models — like ResNet18 — to edge devices, all managed effortlessly through a single, intuitive console. Discover how easy edge AI deployment can be.

Automated packaging line with cardboard boxes moving along conveyor machinery in a factory

Industry at the Edge

November 26, 2024

·

Barbara

4

min

Deploying Software PLCs at scale, with Barbara Edge Orchestration. Webinar Key Takeaways

Our recent webinar with UAO featured a live demonstration of Barbara’s platform in action, showcasing how Schneider’s SoftdPAC runtimes can be deployed across multiple industrial PCs, regardless of the hardware manufacturer, all managed remotely from a centralized platform developed by Barbara.

Architecture diagram of an edge node with OPC UA, MQTT, model serving, InfluxDB and Grafana connected to Azure Cloud

Industry at the Edge

November 4, 2024

·

Jaime Vélez

4

min

How to Deploy Models in Multiple Locations?

Deploying machine learning models across multiple locations is becoming critical for scaling AI. Whether you're building infrastructure or serving diverse clients, this guide covers key strategies, challenges, and best practices for successful multi-site model deployment.

Blue industrial valve overlaid with a glowing wireframe digital twin in a water pumping plant

Industry at the Edge

September 16, 2024

·

David Purón

4

min

The Rise of Edge-Enabled Digital Twins in Industrial Environments

According to Gartner, 13% of organizations implementing IoT projects are already leveraging digital twins, while another 62% are actively planning or developing them. Yet, industries like energy, water infrastructure, and process manufacturing face significant hurdles in adopting these powerful solutions. This article delves into potential strategies to overcome these challenges.

Smiling Barbara team member with a laptop in a bright office, with colleagues working at computers behind her

Industry at the Edge

September 3, 2024

·

Barbara

2

min

Living the Culture: How We Walk the Walk at Barbara

When I first joined Barbara as People Manager, I was eager to see how the company's values would play out in our daily operations. It’s one thing to talk about culture, but experiencing it firsthand is quite another. This is my experience

Barbara Panel dashboards shown on a desktop monitor, a laptop and a smartphone

Industry at the Edge

July 14, 2024

·

David Purón

4

min

The Role of Edge Management and Orchestration in Industrial Digitalization

The 181 zettabytes of data generated annually by over 13 billion devices exceeds global internet bandwidth, posing challenges for cloud computing due to high costs, latency, and security concerns. Edge computing processes data locally, offering efficient, secure analysis without constant connectivity. Barbara’s Industrial Edge Management and Orchestration Platform simplifies managing this infrastructure by providing cloud-like capabilities on-premises and bridging the IT-OT gap.

Barbara and Acciona logos with the text Customer Story: Deploying Adaptive AI in Distributed Water Plants

Industry at the Edge

June 10, 2024

·

Barbara

4

min

Optimizing Chemical Usage in Water Plants Through Machine Learning at the Edge

By implementing real-time optimized Machine Learning algorithms at each of its desalination plants, ACCIONA a global infrastructure operator, managed to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and leverage an edge infrastructure to implement new predictive applications for water quality control. In this article, we explore the intricacies of the project.

Crate of orange juice bottles moving along a curved roller conveyor in a beverage plant

Industry at the Edge

June 3, 2024

·

Barbara

4

min

Scaling Edge AI in Manufacturing

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.

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