IDF Components - The Building Block of EOT's Industrial Data
Twin Talk - Industrial Data Ingestion, Curation, and Contextualization Platform
EOT's Twin Talk™ serves as a Data Integration Platform for industrial IoT, bridging the gap between operational systems (OT) and cloud (IT) solutions to unlock the untapped value of operational data. This innovative solution eliminates the complexity and costs associated with traditional infrastructure, enabling executives, operators, data scientists, and business analysts to harness AI, machine learning, and analytics for real-time insights and operational intelligence. Twin Talk streamlines the secure transmission of sensor data from assets while maintaining plant safety, allowing companies to focus on enhancing productivity through digitization and driving tangible business value.
Twin Central – Intuitive Industrial Digital Twin Builder
EOT's Twin Central™ facilitates the creation of an asset-centric, single source of truth semantic data model. With Twin Central, business technologists can map, link, store, and synchronize relationships between assets and their operational, engineering, and financial metadata using a unified relationship graph. This straightforward approach enables the creation and management of an asset-centric, single source of truth and semantic data model across the enterprise. Twin Central allows for the development of digital twin data models that map, connect, link, store, and synchronize relationships between assets and their operational, engineering, and financial metadata using a unified digital twin relationship graph.
Twin Sight – Intuitive, Simple Visualization Tool and Analytics Dashboard Builder
EOT's Twin Sight™ offers a modern, rapid prototyping approach to operational dashboard authoring, accelerating the adoption of AI-based anomaly detection, production optimization, and operation monitoring across all production sites. With Twin Sight™, industrial users can leverage the power of low-code AI-driven software to modernize the visualization of asset information and data, driving the rapid creation of use-case-specific visual dashboards, templates, and reports. Twin Sight's flexibility and ease of use enable any individual within the company to access enterprise-wide operational data through a self-service model and develop dashboards and reports tailored to their specific use case and business needs.
IDF Solutions
Industrial Digital Twin
Cloud-based Data Historian
Industrial Digital Twin
An Industrial Digital Twin creates virtual replicas of physical assets and processes, enabling manufacturers to simulate various production scenarios, optimize resource allocation, and minimize waste. Predictive maintenance, production optimization, and real-time monitoring can all be enhanced through the use of digital twins.
Industrial Data Lake
Cloud-based Data Historian
Industrial Digital Twin
An Industrial Data Lake consolidates diverse data sources, providing a unified platform for advanced analytics and machine learning. This solution facilitates use cases such as predictive maintenance, production optimization, quality control, energy efficiency, and supply chain optimization by enabling manufacturers to analyze large volumes of structured and unstructured data and generate actionable insights.
Cloud-based Data Historian
Cloud-based Data Historian
Cloud-based Data Historian
A Cloud-based Data Historian stores, manages, and analyzes vast amounts of operational data more efficiently and cost-effectively. This solution supports use cases such as predictive maintenance, energy efficiency, and regulatory compliance by allowing manufacturers to track equipment performance, monitor energy consumption, and ensure adherence to industry standards.