AI has transformative potential in processing sensor data, enabling enhanced decision-making and operational efficiency. It can analyse vast amounts of static or time-series data to optimize your operations. Machine learning algorithms can identify events with higher speed and precision, extracting more value than with manual techniques. AI-powered systems enable real-time monitoring of operations, detecting anomalies and ensuring safety. Predictive analytics can improve efficiency by forecasting events and optimizing operational parameters. By integrating AI, operations become more cost-effective, sustainable, and adaptive to industry challenges.
At Sensys we have considerable experience across multiple data types appying AI. It's not the only approach to data processing, we hate black box processes even more than you do. We realise the limitations of AI and prefer hybrid approaches that always consider the underlying physics.
We also match the machine learning to the sensor, and edge processing. This ensures that there is optimal scale between algorithm requirements and processing capability.