Part 10/12:
Beyond traditional machine learning, machine reasoning (or AI-powered decision-making based on knowledge bases) promises more intelligent, context-aware systems. By integrating symbolic knowledge (ontologies) with learning algorithms, AI systems will better understand domain-specific nuances, enabling more precise and reliable decisions.
For instance:
Network optimization based on business intent rather than just data patterns.
Knowledge-based decision systems that combine AI predictions with domain expertise, offering explainability and trust.
This hybrid approach aims to create autonomous, intent-based systems capable of managing complex environments in healthcare, manufacturing, finance, and beyond.