In an industrial context, a data culture is the organizational ability to transform process measurements into repeatable and auditable decisions. Consolidating this practice requires structured routines, clearly defined

In the food industry, the pursuit of quality, safety, and product variability requires processes that are increasingly flexible, agile, and tightly controlled. In this context, the concept of

Data visualization is a vital domain for a range of applications, from analytics and data science in manufacturing environments to presenting information on web dashboards. Different programming languages

Not every automated machine fits within a Machine-to-Machine (M2M) communication system. While the presence of a PLC is essential for operation, it is not sufficient on its own. To be

Industrial data architecture is a set of technologies, processes, and standards that organize and manage all types of variables generated in manufacturing environments. Through a well-designed architecture, it is possible

For communication between a manufacturing asset and a data acquisition sensor to be effective and deliver benefits, it is crucial to have an in-depth understanding of the equipment

A study released in 2022 by the National Confederation of Industry (CNI) indicates that 69% of manufacturing companies have already adopted at least one digital technology from a list of

A time series is a sequence of data points, or observations, that are indexed and arranged in chronological order. Typically, these data are collected at successive, equally spaced

In the manufacturing industry, the use of programming codes is essential to automate processes and enable them to operate efficiently at different scales. Within this context, APIs (Application Programming