The RoboTUNN research project is revolutionizing subway tunnel inspections by using robotics and artificial intelligence. Its goal is to autonomously detect damages and create digital twins that enable predictive maintenance. StatSoft plays a key role in data integration and the development of AI models for predictive maintenance. The project is funded by the mFUND initiative.
In industrial manufacturing, the analysis of image data enhances monitoring and optimizes defect detection. Standardized processes allow the use of machine learning (ML) to handle complex image signals. For more challenging tasks, AI models like Convolutional Neural Networks (CNN) offer more effective solutions. Discover how pre-trained models boost efficiency and the benefits this technology brings to real-world applications.
In an era where we discuss digitalization, automation, value creation from data, and the widespread use of generative AI, Microsoft Excel remains the preferred tool for data analysis, reporting, and decision-making in many companies. But why is that? The Advantages of Excel Excel is a standard product in almost every office worldwide. It impresses with […]
Spotfire can easily integrate analytical processes designed in Statistica (so called workspaces). This enables advanced analytics, machine learning and much more to be used and made available to all users of Spotfire dashboards.
Those traditional statistical methods are excellent tools, but they have certain limitations regarding their ability to respond to highly complex relationships in the data. This is where AI and ML come in.
StatSoft offers a Statistica component that allows for automated, efficient and reliable transfer of analytical results into Word reports.
Physical maintenance can lead to costly interruptions in the manufacturing process. By means of predictive analytics, repair and maintenance can be scheduled based on real-time predicted failure probabilities.
Stability testing, also known as shelf-life assessment, stand as a pivotal stage in the pharmaceutical development, crucial for verifying the identity, potency and purity of ingredients within a formulation. We explain how stability studies can be implemented.