Production AI agents are blocked by fragmented knowledge and legacy systems, pushing synthetic enterprise data and RL training frameworks into the spotlight.
SAP's Synthesis Through Simulation framework generates enterprise synthetic data by having an LLM agent operate against APIs that enforce simulated policies, without accessing database schemas. Structural validity emerges by construction, not extract...
SAP has open-sourced Synthesis Through Simulation, a framework that generates synthetic enterprise data through interaction between LLM agents and APIs in simulated environments. The approach removes the need for database schemas, guaranteeing struct...
Microsoft Research Asia has released Agent Lightning 1.0, a roughly 3,500-line RL framework that trains agents using the same harness deployed in production, eliminating the need to reimplement the agent inside the training framework. It runs on Kube...
Mirror Particle is launching at TechCrunch Disrupt Startup Battlefield with a world model built from scratch to predict human behavior, arguing that LLM roleplay falls short for market research and brand strategy. AI-RADAR links this move to the grow...
MIT Technology Review Insights surveyed 300 executives and found that only 34% of agentic AI projects reach production. The root cause is not model capacity but fragmented data, legacy systems, and weak semantic context. Production leaders show stron...
