•1 min read•from InfoQ
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.
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Tagged with
#AI Agents
#Data Layer
#LLMs
#Token Overhead
#Context Windows
#Data Mesh
#Semantic Ontologies
#Database Architectures
#Low-Latency
#MCP
#Transactional Systems
#Enterprise Data
#Deterministic Logic
#Non-Deterministic
#Precision
#Security
#Cost Optimization
#TOTVS
#Dynamic Tool Selection
#Semantic Models