Traditional business intelligence focuses on visualising data in dashboards and answering existing questions. AI and ontologies are enabling proactive systems that anticipate needs, detect anomalies and support decisions in real time, changing how businesses use data.
Key takeaways
- Traditional BI is reactive, answering questions through dashboards; proactive systems anticipate needs.
- AI agents can automate complex processes and support real-time decisions by continually evaluating metrics and detecting anomalies.
- Ontologies formally describe concepts and their relationships, giving AI business context beyond data tables.
- Combining AI and ontologies can move BI from displaying data to understanding and responding to business events.
What this means for CEOs
Leaders should consider investing in semantic layers and ontologies to enable proactive AI-powered business intelligence and improve decision-making and operational efficiency.