• Timeless patterns, smarter tools: AI agents may seem revolutionary, but they are built on timeless integration patterns like those in ESBs and ETLs, enhanced with smarter capabilities like dynamic parsing and semantic routing.
• Evolving roles and teams: They unify application and data integration efforts, dissolving silos. Traditional roles like middleware specialists, ETL developers, and data scientists evolve into agentic workflow engineers and applied AI specialists.