SAP's simulation framework, on-premise clinical AI and compliance-focused voice agents highlight demand for enterprise AI that keeps data local and auditable.
A 9-billion-parameter model, trained once on 2,506 conversations generated from 297 procedures, faces unseen debt collection procedures. Documented checks rise from 67-71% to 93-100%, while grounded checks already pass. An audit of the shared specifi...
OpenMed 3.0 is an Apache-2.0 open-source AI toolkit for the medical sector, designed to operate exclusively on-premise. Its core philosophy is to keep patient data on local machines, without any reliance on cloud services or external APIs, ensuring p...
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...
