New playbook: when your own AI model pays. Read
NVIDIA (semiconductors) reported this on 10 Sep 2026 in company self-report (source). It belongs to the data and ontology layer.
A supply-chain allocation system where Foundry records each planner's final allocation, why they accepted or overrode the optimiser, what they expected, and what happened; those decision records train a specialised model.
On a development set, the model trained on planner decision records reached 86.7% accuracy on allocation decisions, versus 55.5% for a large general model and 17.5% for the untrained base model.
The number covers back-tested allocation decisions on one development set; planners keep final authority.
Shared definitions of your metrics and records, used by both staff and agents.
Read the guide to data and ontology.
10 minutes
to scope a supply shortage, down from 3 months and 30 people
An enterprise data layer on Palantir Foundry unifying 33 ERPs (~3.5M data connections), feeding a Sector Control Tower for executives and a Program Digital Cockpit for program teams (source).
27 days
faster time-to-sign for candidates
A recruiting and hiring agent in Microsoft Copilot Studio, grounded in the Celonis Context Model (process-mining data on how hiring actually flows), used by recruiters and hiring managers (source).
2 months
for a 1% forecast-error gain that last took a year
A Genie-based research agent on Databricks that answers finance and store-operations questions about the labour-demand forecast, with explanations, replacing data scientists answering stakeholder emails (source).