Big Data in the Era of Smart Industry

Digitization of Production Processes According to projections for Smart Industry, by 2025, industrial enterprises will be able to implement a highly interconnected and automated production network. This scenario will be characterized by a vast amount of data generated by connected devices in real time along the entire production chain. For example, it is estimated that industrial machines will be capable of generating several terabytes of data per hour, providing crucial information on equipment performance, product quality, and plant status.

Remote Monitoring Systems: Use Cases Many companies are already investing in innovative solutions to address the challenges of the new industrial era. For example, through the implementation of smart sensors and remote monitoring systems, detailed data on machine operational efficiency can be collected, and potential failures can be predicted in advance, enabling preventive maintenance interventions. In summary, the Smart Industry world offers enormous opportunities for industrial enterprises but requires advanced data management and cutting-edge technologies to maximize the value derived from the digitization of production processes.

Mative's Solution to Big Data The main challenge is not only in data collection but also in its effective management and analysis. Mative handles the massive data flow through robust and scalable information systems to process, store, and analyze information in real time. To extract value from data and make predictive and optimized decisions, try our Synapsis ML machine learning algorithm.