AI/ML Technology for Enterprise Applications
Our mission is to develop AI for enterprise applications on Oracle’s platform, focusing on intelligent agents, automation, adaptive solutions, semantic search, and explainable AI
AI/ML Technology for Enterprise Applications
AI/ML Technology for Enterprise Applications
Our mission is to develop AI for enterprise applications on Oracle’s platform, focusing on intelligent agents, automation, adaptive solutions, semantic search, and explainable AI
Project Overview
Oracle Labs is pioneering advanced AI/ML technologies to power enterprise applications through Oracle’s unified platform. Our research spans agent standardization, multi-agent systems for distributed, intelligent automation; agent composition for dynamic, adaptive solutions; and next-generation semantic search pipelines optimizing RAG and information retrieval across domains. Key initiatives include Intermediate representation for AI Agents, LLM-backed data science agents to democratize analytics, development agents to streamline software engineering, financial crime investigation agents for automated compliance, and intelligent data ingestion to accelerate onboarding and integration. We tackle challenges in extracting knowledge from unstructured data with graph-based RAG, ensuring AI agent explainability, and mitigating unintended bias in large language models and agentic systems. By integrating cutting-edge ML, agentic workflows, and explainable AI, Oracle Labs aims to deliver scalable, responsible, and user-centric solutions - empowering both technical and non-technical users to harness actionable insights and build intelligent, adaptive enterprise systems with enhanced fairness, robustness, and efficiency.
Hesam Fathi Moghadam is a Senior Research Manager for Oracle Labs, working on the AutoMLx project.
Education:
MS, Stanford University, 2011
BASc, University of Waterloo, 2007