Everyone is chasing generative AI and autonomous agents, but the industrial AI that already delivers, predictive maintenance and computer vision, never left the factory floor. A field reality check on hype versus what actually works, and why the best engineering starts with the problem, not the technology.
One of the most transformative technologies that have emerged in recent years is software containerization, which revolutionizes the way industrial companies develop, deploy, and manage their software solutions. Kubernetes is very useful for large, cloud-dependent workloads like web applications, but it is not optimal for smaller, more industrial-oriented workloads that must operate in complex, isolated environments. In this article we explain why.
Edge computing is crucial for most enterprises' digital transformation goals, with projects already underway across various industries and organizations. However, most deployments currently focus on individual use cases, leading to fragmented islands of edge computing technologies, processes, and skills. What should you do when these independent projects start to multiply? We will disclose the answer in this article.
Edge Computing is becoming a critical component, enabling organizations to leverage edge data in unprecedented ways. However, embarking on an Edge Computing project can be daunting, as building an edge solution requires significant time, investment, and a highly skilled team.This article explores the essentials for getting started with Edge Computing.
This is the second article in our series exploring the challenges of Digital Transformation in industrial companies on their path to full IT-OT convergence. In this edition, we focus on the Data Journey, the process of transforming raw data into intelligent, AI-driven organization.
View our on-demand webinar "How to Maximize your Edge Data". Whether you're just starting to collect data and want to maximize its potential or you're deep into your digital transformation journey and aiming to harness AI at the edge, this webinar provides actionable insights applicable to every stage of your enterprise’s edge journey.
AI empowers machines to learn from data, make smarter decisions, and adapt in real time, driving unprecedented efficiency in manufacturing. The convergence of AI and automation is reshaping the industry and accelerating innovation. In this article, we explore how organizations can successfully embark on their Edge AI journey.
Edge Computing emerges as a transformative technology in the oil and gas industry, driving efficiency and innovation in digital transformation efforts. By harnessing the power of edge computing, organizations can optimize operations, enhance safety protocols, and extract greater value from their resources.
Just as Data Teams embark on their Data Journey, Infrastructure Teams must navigate their own Digital Infrastructure Journey to enable this transformation. This article explores the challenges of IT-OT convergence in industrial companies. Stay tuned as we break down each stage of this evolution and uncover the key steps to a seamless transition.
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.
