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Manual screening and interview coordination slowed hiring cycles and led to inconsistent candidate evaluation.
Deployed AI agents to automate resume screening, candidate communication, and interview scheduling, improving consistency and standardizing evaluation across all applicants.
AI agents automate hiring, resume screening, and candidate evaluation with precision.
Frequent equipment failures and inefficient maintenance schedules caused downtime and revenue loss.
Implemented AutoML models to predict equipment failures using historical sensor data. Enabled proactive maintenance scheduling with real-time anomaly detection.
Predict equipment failures and optimize maintenance using AutoML-driven insights.
Disconnected data systems led to poor demand forecasting and inefficient inventory management.
Built a unified data fabric to integrate disparate data sources. Enabled real-time analytics and AI-driven demand forecasting.
Improve demand forecasting and inventory planning with real-time data fabric systems.
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