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State of Industrial DevOps Workforce Fireside Chats Session 1: From PLC's to AI
Join us for the this on demand installment of our groundbreaking webinar series, based on the findings from the 1st Annual State of Industrial DevOps Workforce Report, as we embark on a journey through the evolution of industrial automation, from the early days of Programmable Logic Controllers (PLCs) to the transformative potential of Artificial Intelligence (AI). We will be joined by former Gartner analyst, Rick Franzosa! Rick Franzosa, an analyst with Gormally Franzosa Associates, has over forty years’ experience in manufacturing software technology. He was most recently a Gartner analyst in the Supply Chain Operations team, where he focused on manufacturing operations technology systems research. He worked with vice presidents and directors of manufacturing, business process experts and enterprise architecture and IT roles supporting manufacturing operations. He also worked with providers of technologies and services for manufacturing operations. Prior to joining Gartner in 2014, Mr. Franzosa worked in the software industry with manufacturing operations software companies. His roles included almost all facets of the software business, including software development, sales, marketing, consulting, implementation and client support. Prior to that, his experience included work in design engineering, test engineering and manufacturing engineering in the aerospace and defense industry. He is currently working independently, sharing his experience with organizations that are pursuing manufacturing software technology evolution.
Industrial DevOps: The Foundation for the AI Factory of the Future
In today’s rapidly evolving industrial landscape, the convergence of artificial intelligence (AI), and advanced automation is transforming how we manufacture and distribute goods. At the heart of this transformation lies a critical enabler: Industrial DevOps. Industrial DevOps extends the principles of traditional DevOps — continuous integration, continuous delivery, and collaboration between development and operations — to the unique demands of industrial environments. This approach is essential for building the “AI factory of the future,” where intelligent machines and systems work seamlessly together to optimize production, enhance efficiency, and drive innovation.
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Copia Copilot Deminar 3/21
Are you ready to unlock the full potential of Copia Copilot? Join us for an on demand Deminar where we'll delve into the intricacies of Copia Copilot's code interpretation and Q&A capabilities. Discover how this powerful AI-driven tool can help reimagine the way you interact with and understand industrial code. Who should attend? This Deminar is ideal for Controls Engineers, Automation Engineers, and anyone involved in industrial code management, development, maintenance, or troubleshooting.
NIS2 Enforcement: Fines and Warnings
The EU’s Network and Information Security Directive (NIS2), effective from January 16, 2023, aims to enhance cybersecurity across critical sectors within the EU. A key aspect of NIS2 is its enforcement mechanism, which includes substantial fines for non-compliance. While the specific implementation and penalties vary across member states, the directive sets a framework for significant financial consequences. This article explores the fines or warnings under NIS2, and how Copia can help.
Westfalia Technologies
Westfalia Technologies, a leader in automated storage and retrieval systems, partnered with Copia Automation to revolutionize their code management and collaboration. Facing challenges with complex PLC code, scaling engineering workflows, and ensuring reliable backups, Westfalia implemented Copia's Industrial DevOps Platform. The result? Enhanced code quality, streamlined documentation, increased operational efficiency, and strengthened customer deliverables, positioning Westfalia for continued growth and innovation.
1st Annual State of Industrial DevOps Workforce 2025
Our 1st Annual State of Industrial DevOps Workforce Report: People, Process, and the AI-Powered Future reveals that manufacturers lose an average of 45 hours every month debugging code. That's a huge drain on productivity, and it's often due to reliance on outdated tools like Excel for code management. This report dives deep into the hidden costs of these inefficient practices, highlighting the skills gap, the challenges of knowledge transfer, and the critical need for modernization in the face of global economic uncertainty. It also offers practical strategies for improvement.
