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.
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.
What is „Six Sigma“? Six Sigma is a structured, data-oriented method to reduce defects, waste and quality issues of any kind in production, services, management and further business activities. Six Sigma is a trademark of Motorola, that shaped the term in the eighties. The method is based on a combination of established techniques of quality assurance, […]