Project AURIONAI Use-Cases Research & Innovation
ServiceNow (ServiceNow Research, Montreal)

ServiceNow (ServiceNow Research, Montreal)

Company. 1 model in the directory.

company
0deployments

Identity

Type
company
Country label
not in the notes
HQ country
not in the notes
Founding country
not in the notes
Parent
not in the notes
Parent country
not in the notes
Country basis
the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.

Models by Class

Models

ModelClassOpennessParametersReleased
Morgan StanleyLag-LlamaMorgan Stanley, ServiceNow (ServiceNow Research, Montreal), Universite de Montreal, Milatime seriesopen weights permissive2.45M12 Oct 2023

Scores

BenchmarkModelScoreWho ran itSetting
GIFT-EvalLag-Llama0.88 CRPS (geo-mean, normalised to Seasonal Naive)independentpretrained, test leakage Yes; rank is average CRPS rank
GIFT-EvalLag-Llama1.228 MASE (geo-mean, normalised to Seasonal Naive)independentpretrained, test leakage Yes
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.

Sources

  1. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting arxiv.org https://arxiv.org/html/2310.08278v3

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ServiceNow (ServiceNow Research, Montreal)", https://aurion.semai.id/organisations/servicenow/, records of October 2026.