Spend Intelligence Pipeline
Build a lakehouse-native pipeline for spend analytics that ingests procurement data across all vendor contracts, categorizes spend by taxonomy, detects anomalies, and forecasts future spend with confidence intervals. Outputs feed the VIOS command center.
Progress
Due: May 30, 2026
Team
5 team members
Last: NaN days ago
Recent: “Backfill job completed — all L4 categories populated” · 20600d ago
Enter Workspace→ML Model Serving Platform
Deploy and serve VIOS ML models via MLflow and Mosaic AI on Databricks. Provide low-latency inference endpoints with A/B testing, automatic scaling, and model performance monitoring for all VIOS scoring and prediction models.
Progress
Due: July 11, 2026
Team
4 team members
Last: NaN days ago
Recent: “Deployed v0.2 to dev workspace” · 20600d ago
Enter Workspace→Recent Activity
CI Pipeline Deployed v0.2 to dev workspace · Build #84
20600d agoLisa Zhang Backfill job completed — all L4 categories populated · Data Ingestion
20600d agoCI Pipeline Test suite passed: 16/16 · Coverage: 72%
20600d agoTanya Gupta feat: spend data quality validation rules · 4 files changed
20600d agoCI Pipeline Deployed v1.2 to staging workspace · Build #218
20600d ago