Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-deterministic LLMs across precision, security, and cost. Nardon details using data mesh, low-latency database architectures, semantic ontologies, and dynamic MCP tool selection to optimize context windows and reduce token overhead in transactional systems. By Fabiane Nardon
لماذا يهم هذا الخبر؟
سيظهر الملخص التحليلي هنا بعد اكتمال معالجة الذكاء الاصطناعي.
سياق الخبر
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-deterministic LLMs across precision, security, and cost. Nardon details using data mesh, low-latency database architectures, semantic ontologies, and dynamic MCP tool selection to optimize context windows and reduce token overhead in transactional systems. By Fabiane Nardon
فتح الخبر الأصلي