System Settings
General Settings
Display Preferences
Users & Permissions
| User | Role | Department | Last Active | Status | Actions | |
|---|---|---|---|---|---|---|
| sarah.johnson@techcorp.com | Admin | Operations | Active now | Active | ||
| john.doe@techcorp.com | Manager | Planning | 2 hours ago | Active | ||
| mike.wilson@techcorp.com | Analyst | Quality | 1 day ago | Inactive |
Enterprise Integrations
F&O
Connected
Microsoft Dynamics 365 F&O
Primary ERP system with real-time financial and operational data
Last sync: 47 seconds ago
Status: Optimal
Data points: 847K/day
BC
Connected
Microsoft Dynamics 365 BC
Business Central for SME operations and analytics
Last sync: 1 minute ago
Status: Healthy
Data points: 234K/day
SQL
Connected
Azure SQL Database
Cloud data warehouse for historical analytics
Last sync: 3 minutes ago
Status: Healthy
Storage: 2.4TB
Azure
Connected
Azure AI Services
Cognitive services and machine learning platform
Models deployed: 23
Status: Active
Compute: 847 hours/month
PBI
Ready
Power BI Premium
Advanced analytics and business intelligence platform
Ready to connect
Workspaces: Available
Teams
Available
Microsoft Teams
Collaborative notifications and AI-powered insights
Ready for notifications
Bot framework available
🧠 AI Model Management Dashboard
23
Active Models
+3 this month
96.7%
Avg Accuracy
+2.1% improved
847K
Predictions/Day
+15% capacity
$2.1M
Cost Savings
ROI: 340%
Demand Forecasting Engine
LSTM Neural Network v3.2.1ACTIVE
Accuracy
94.2%
Predictions/Hr
12,450
Data Source
D365 F&O
90%
Financial Risk Predictor
XGBoost + Monte Carlo v2.1.0ACTIVE
Accuracy
96.3%
Risk Assessments/Hr
8,920
Data Source
D365 F&O
92%
Quality Defect Detector
CNN + Computer Vision v1.8.3ACTIVE
Detection Rate
97.8%
Images/Hr
45,600
Production Lines
156
87%
Inventory Optimization
Reinforcement Learning v2.0.1ACTIVE
Optimization Rate
95.7%
Space Efficiency
83.7%
Warehouses
12
0.007
🎯 Global Performance Thresholds
Accuracy Monitoring
85%
Models below this threshold will trigger alerts
80%
Automatic retraining when accuracy drops below
Resource Allocation
80%
Maximum CPU utilization for AI processing
64GB
RAM allocated for model training and inference
Data Quality
95%
Minimum data completeness for model training
7
Sensitivity level for detecting data anomalies
⚡ AI Optimization Center
Auto-Optimization
Continuous hyperparameter tuning across all models
ACTIVE
Ensemble Optimization
Automatically balance model weights for maximum accuracy
ACTIVE
Feature Engineering
AI-powered automatic feature generation and selection
ACTIVE
Optimization Schedule
Global Hyperparameter Sweep
Comprehensive optimization across all models
Model Performance Review
Automated accuracy assessment and reporting
Feature Engineering Run
Generate and test new feature combinations
🛡️ AI Governance & Compliance
Compliance Score
98.7%
All AI models meet regulatory requirements
Audit Trail
100%
Complete audit logging for all AI decisions
Bias Detection
2 Issues
Minor bias detected in 2 models
Model Explainability
Fairness & Bias Prevention
3%
Privacy & Security
Recent Audit Log
Model deployment: Demand Forecasting v3.2.1
Sarah Johnson
Approved
Bias detection scan completed
System
2 Issues Found
Hyperparameter optimization: Financial Risk Model
AI Optimizer
Completed
Notification Preferences
System Alerts
System Maintenance
Scheduled maintenance and updates
Data Processing Errors
Failed imports or processing issues
Business Alerts
Quality Issues
Quality scores below threshold
Inventory Alerts
Low stock and reorder notifications