#real-time-decision-making

#real-time-decision-making

The system combines an ontology model, semantic models, and AI agents to convert business data into real-time decision-making. According to Microsoft, organizations are drowning in data without understanding the semantics. For example, an airline does not think in terms of tables and schedules, but in terms of flights, passengers, and delays. However, that meaning lives in people's minds. Teams use their own definitions and reports. AI systems can read data, but they lack the business context to make reliable decisions.