Progress Semaphore 5.10 delivers AI-assisted, quality-oriented knowledge modeling

Progress, the trusted provider of AI-powered infrastructure software, is unveiling the latest iteration of Progress Semaphore, the metadata management and semantic AI platform for transforming complex enterprise information into actionable intelligence. Semaphore 5.10 continues to help enterprises make sense of their knowledge estates, offering intuitive, AI-assisted knowledge modeling, extended mapping capabilities, and classification filtering.

Despite knowledge being an asset to any business, enterprises are combating complex, highly siloed, inaccessible unstructured data. Progress’ Semaphore platform is engineered to enable organizations to tap into their knowledgebases, automatically extracting and classifying both unstructured and structured data to produce rich semantic metadata.

Semaphore 5.10 offers the following capabilities:

• AI Model Builder: An AI- and large language model (LLM)-powered tool for simplifying the knowledge modeling experience, accelerating the creation and enrichment of semantic knowledge models.
• Filtering of classification results by publish set: Classification Server instances can be shared across different project groups, driving more efficient filtering and viewing of classification results.
• Mapping relations within the current model: Users can now capture the similarities between models, creating visibility into how different pieces fit together and facilitating knowledge sharing across the enterprise.
• Easy import and export of Shapes Constraint Language (SHACL): SHACL—which improves data quality and consistency by defining rules and validations for data models—can now be imported and exported within a user-friendly interface, streamlining processes and reducing time-to-value.

“The latest release of Semaphore platform demonstrates our unwavering commitment to innovation, core capabilities, and user-friendly experiences,” said John Ainsworth, executive vice president, general manager, application and data platform, Progress. “In a landscape of rapid technological shifts and exponential data growth, adaptability is paramount. Our platform flexes alongside evolving business needs, incorporating market and customer feedback to deliver high-performing, scalable solutions.”

For more information about this news, visit www.progress.com.