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By Chuck Kelley and Marcia Gadbois Over the past several weeks, we have unpacked the data landscape in industrial automation, from foundational database architectures to the ETL journey that turns raw signals into usable information, and the modern practices that keep it all manageable.  Each piece has built on the last, tracing how data evolves […]

By Chuck Kelley & Marcia Gadbois Continuing our journey into modern data management architectures, this week’s blog takes a closer look at five key approaches shaping how organizations handle information today: data fabric, data mesh, event-driven architecture, stream processing, and unified namespace. In our previous post, Foundation of Industrial Data:  Architectures, we noted that an

By Chuck Kelley and Marcia Gadbois In last week’s blog, we explored the foundational architectures behind data storage and the benefits of various architectures.  This week, we continue our journey from raw data to actionable insights by exploring how to extract, transform, and load (ETL) data for meaningful use, particularly in industrial automation. The global ETL

By Chuck Kelley & Marcia Gadbois Every day, approximately 402.74 million terabytes of data are generated, much of it driven by industrial automation.  What was once considered an emerging trend, the Industrial Internet of Things (IIoT), has now become the foundation of modern manufacturing.  Also known as Industry 4.0 or smart manufacturing, IIoT refers to

In a world where industrial operations are becoming more connected, more intelligent, and more demanding, and cost saving is more imperative to the business,  having the right tools and knowing how to use them is critical.  That is where ADISRA SmartView comes in. Whether you are a long-time user or just starting to explore what

In today’s hyper-competitive global market, efficiency, quality, and customer satisfaction are no longer aspirational; they are essential for survival.  Organizations striving to deliver more value at greater speed are turning to Lean Six Sigma as a proven framework for operational excellence, continuous improvement, and sustainable growth. But 2025 is not business as usual.  With the

We are excited to welcome our new distributor from South Africa to the ADISRA family! CMW Automation’s deep expertise and local insight will help expand the reach of ADISRA’s products. ADISRA’s innovative products and CMW Automation’s strong track record in industrial automation and HMI/SCADA solutions make it a winning partnership. Together, we are confident that

Overall Equipment Effectiveness (OEE) is a fundamental key performance indicator (KPI) in manufacturing that measures the effectiveness of a production operation.  It is calculated by multiplying three core factors:  Availability, Performance, and Quality.  Software tools like ADISRA InsightView help manufacturers monitor and analyze these dimensions in real time, enabling continuous improvement and process optimization. Modern

At ADISRA, we believe that great software deserves great support. As more system integrators, engineers, and plant managers adopt ADISRA SmartView to build modern HMI/SCADA applications, we have received a steady stream of questions, ranging from beginner setup tips to advanced features like database integration, scripting, and rule-based expert system logic. In this follow-up Q&A

We are excited to announce the release of ADISRA SmartView V4.1.3 on June 30th, 2025, our most robust and customer-driven version yet.  It is designed to elevate industrial automation experiences.   This latest update delivers enhancements across the board, with a special focus on expanding our powerful rule-based expert system, strengthening security, improving performance, enhancing driver

Precision is everything in industrial automation, from meeting strict manufacturing tolerances to ensuring accurate custody transfers in the Oil & Gas sector.  These high-stakes environments demand technologies that are not only powerful but also trustworthy.  That is why the accuracy and reliability of artificial intelligence (AI), particularly large language models (LLMs) like generative AI and