Data intelligence firm S2W (488280.KQ) is expanding its non-security business by upgrading SAIP, an ontology-based platform that links internal corporate data with operational knowledge to support artificial intelligence decision-making.
S2W said on the 1st that it has strengthened SAIP's ability to analyze corporate data from inside and outside a company together with domain knowledge such as industry-specific business rules and procedures. SAIP uses ontologies and knowledge graphs to connect company data stored in different formats, allowing AI to analyze both the relationships among data and their business context.
With the upgrade, the company said data and documents that businesses already use — including enterprise resource planning (ERP) systems, data warehouses (DW) and Excel and PowerPoint files — can be connected to SAIP without separate format conversion. The platform also now reflects changes in source data in the ontology itself.
S2W also enhanced explainable AI features that let users see the basis for an analysis and the factors that influenced it. Users can trace back how a result was produced and assess whether it is valid. That verification structure provides a foundation for applying AI analysis to work that demands a high degree of reliability and accuracy.
S2W has supplied SAIP to Hyundai Steel and Lotte Members, and plans to use the upgrade to widen its target industries beyond manufacturing, retail and finance to defense, energy and telecommunications.
"With this upgrade, we have strengthened SAIP's usability and reliability, and we will broaden its application to a range of industries that require complex decision-making," said Park Keun-tae, chief technology officer at S2W.
