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I am always fascinated when I hear from customers about the innovative ways they are using ADISRA SmartView in their industrial applications. Every story offers a unique glimpse into how our software helps solve real-world challenges, often in ways we had not even anticipated. One area that continues to evolve is integrating vision systems, computer […]

In the dynamic world of industrial automation, data is generated continuously from machine status and production throughput, as well as alarms, safety indicators, and energy consumption.  But collecting data is just the beginning.  To truly gain value from this information, organizations must turn raw data into meaningful insights. That is where visualization, dashboards, and reporting

What if you could get clear, straightforward answers to your biggest HMI/SCADA questions?  This week, we are taking a different approach—rather than our usual deep dives, we are addressing the most frequently asked questions about ADISRA SmartView. But that is not all.  This conversation has sparked something more significant:  we’re hosting a live webinar on

Blog written by Connor Gadbois and Marcia Gadbois Cybersecurity threats are becoming increasingly sophisticated and pervasive in today’s rapidly evolving digital landscape. For asset owners and operators of critical infrastructure, staying ahead of emerging threats and technological advancements is not just a priority—it is a fundamental responsibility. Gartner projects a 15% increase in cybersecurity spending

I recently came across the Coca-Cola Europacific recall from January 2025, which impacted batches of Coca-Cola, Fanta, Sprite, Minute Maid, and Fuze Tea in Belgium, Luxembourg, and the Netherlands.  The recall was prompted by the detection of elevated chlorate levels in bottles and cans produced at a facility in Belgium.  The affected products were identified

In today’s interconnected world, ADISRA SmartView has long provided powerful capabilities like Web API (Application Programming Interface) support and OpenWeather API drivers to enhance automation and enable data-driven decision-making.  While APIs have been integral to computing for decades, modern web APIs leverage HTTP to provide seamless access to machine-readable data in JSON or XML format.

I recently reflected on a one-day seminar by Edward R. Tufte on The Visual Display of Quantitative Information*.  One principle stood out:  “Above all else, show the data.”  Tufte emphasized that the primary goal of data visualization is to present information with clarity and precision, free from unnecessary clutter or distractions.  This insight led me

Denis Panjuta is the founder of AI Academy, his post (link) prompted me to reflect on the different layers of AI and how they are depicted in literature, articles, and films.  It’s fascinating to see how our perception of AI continues to evolve, influencing both public understanding and industry expectations.  In my field—industrial automation—AI is

After spending more years than I would like to count working with Human Machine Interface (HMI) and Supervisory Control and Data Acquisition (SCADA) software, I began reflecting on how advancements in artificial intelligence (AI), the Industrial Internet of Things (IIoT), cloud computing, the convergence of IT and OT, and the shift from desktops to mobile

Last week, we explored the Six Big Losses and their impact on production line efficiency and productivity.  There is a critical intersection between energy efficiency and productivity, however, that manufacturers cannot overlook. Rising energy costs and regulatory challenges in today’s environment can heavily impact a company’s bottom line—and consumers, suppliers, and vendors increasingly demand sustainably

A recurring theme when speaking with customers is their drive to enhance production efficiency.  The key metric in this pursuit is Overall Equipment Effectiveness (OEE), which measures the performance of equipment and manufacturing processes.  Central to OEE is the concept of the “Six Major Losses,” a foundational element of Total Quality Management (TQM) and Total