Twin Talk - Industrial Data Ingestion, Curation, and Context
Offering a simple, secure, and scalable solution for delivering operational data from SCADA systems and historians to the cloud, Twin Talk revolutionizes the way industrial companies handle data. This platform enables cloud-based, event-driven, real-time architectures such as data lakes, mobile monitoring, and surveillance apps, while unlocking valuable insights from analytics, AI, and machine learning.
Energy companies are transitioning from a reactive monitoring philosophy to a proactive, preventative approach that spans across all production sites. By analyzing data from operating assets and applying modern data science techniques, these companies can achieve broader learning, reduce downtimes, and minimize environmental impacts. The real-time capabilities provided by this enterprise-wide view lead to greater production efficiencies, cost savings, and emissions reductions.
Challenge
Traditional field-based SCADA, historians, and monitoring systems are locally limited and have no internet connection, making them unsuitable for modern analytics and machine learning algorithms. These siloed environments lack the storage capacity and computing power needed for advanced analysis.
What is Twin Talk?
EOT's Twin Talk serves as a Data Integration Platform for industrial IoT, bridging the gap between operational systems (OT) and cloud (IT) solutions. It removes the barriers associated with complex, firewalled networks and IT infrastructures, providing secure, scalable access to operational data. Twin Talk empowers digital transformation executives, operators, data scientists, and business analysts to leverage AI, machine learning, and analytics tools for real-time insights and operational intelligence. This platform simplifies the transmission of sensor data from operational assets, allowing companies to focus on delivering productivity through digitization.
Use Cases:
- Predictive Maintenance
- Resource Management and Process Optimization
- Production Efficiency and Quality Control
- Asset Performance and Production Optimization
