Neurosymbolic architecture grounds AI agents in domain ontologies for regulated industries, evaluated across 600 runs in 5 sectors including Vietnamese-language domains. Ensures agent reasoning aligns with compliance requirements and domain constraints. Bridges symbolic knowledge representation with neural reasoning for safety-critical enterprise deployment.
Survey of CEOs indicates AI deployments have not yet delivered measurable impact on employment levels or productivity metrics. Challenges prevailing narratives about AI's immediate transformative business effects. Data point for enterprise AI adoption reality versus expectations.
Empirical study evaluates AI-assisted requirements engineering tools against expert judgment using INCOSE criteria in controlled systems engineering methodology. Research investigates whether AI can support quality assessment and validation of requirements without replacing professional expertise. Addresses gap in understanding AI's role within formal systems engineering processes.