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Smart energy

Combine raw data (equipment and network, seismic and weather, social media and geolocation sensors) and stored data (performance and maintenance reports, demographics) to monitor operations and avoid hazards and equipment failures, deliver real-time pricing and optimization of energy utilization and consumption, and automatize processes to address the skills gap.

Example Applications

  • · Real-time visualization
  • · Automated reports
  • · Alerts for system health
  • · Self-healing networks and equipment
  • · Automated shutdowns
  • · Automated scheduling and staffing for maintenance and repairs
  • · Continuous load into any number of destinations, simultaneously: Hadoop, NoSQL platforms, Oracle, SQLServer, and RDBMS platforms such as Teradata