AI & ML: Engineering & Construction

Engineering and Construction Industry:

  • Project schedule optimizers can consider millions of alternatives for project delivery and continuously enhance overall project planning.
  • Image recognition and classification can assess video data collected on worksites to identify unsafe worker behavior and aggregate this data to inform future training and education priorities.
  • Enhanced analytics platforms can collect and analyze data from sensors to understand signals and patterns to deploy real-time solutions, cut costs, prioritize preventative maintenance, and prevent unplanned downtime.
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Artificial Intelligence Chip

Areas in Engineering and Construction that can benefit are:

Supply Chain Forecasting, Performance, Risk Mitigation, and Automation

  • Materials and Equipment Inventory Management
  • Anomaly detection – Detect visual damages, count and classify items
  • Demand Forecast – Solve under and overstocking
  • Delivery Prediction
  • Real-time route optimization
  • Scheduling maintenance
  • Streamlined inventory management

 

Contract Management

  • Contract Processing
  • Contract Risk assessment
  • Contract Recommendation

 

Document Management

 

Improve Data quality

  • Automatic classification and processing
  • Data Analytics

 

HR management

  • Automated Real-Time compliance management