Erkan Teskancan
Corporate
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Telit Cinterion will showcase its deviceWISE Intelligence Suite platform at Hannover Messe 2026, demonstrating how AI and industrial data infrastructure enable autonomous operations in manufacturing environments.
## Transitioning from Data Collection to Autonomous Control
Manufacturers are now aiming to transition from passive data monitoring to systems capable of real-time decision-making. The deviceWISE platform consolidates machine, process, and operational data to create a centralized data and intelligence layer. This structure ensures continuous operational control in manufacturing and supports the development of a data ecosystem in data-intensive industries like automotive.
## AI-Powered Video Analytics
At the fair, the deviceWISE platform will be showcased alongside Lenovo's industrial edge computing systems and NVIDIA's AI infrastructure. This system processes large volumes of visual data from IoT sensors with NVIDIA Metropolis Blueprint, enabling applications such as automated monitoring and anomaly detection in production processes, quality control with visual data, and automatic event recognition. Processing these workloads at the edge reduces latency, allowing for rapid intervention.
## Unified Data Infrastructure for Industrial Intelligence
deviceWISE integrates various data sources across the factory, ensuring seamless data flow between operational technology, enterprise platforms, and connected devices. This integration supports the digital supply chain and enables AI models to make more accurate predictions.
## Digital Twin for Process Optimization
The platform offers manufacturers the ability to simulate and validate changes before implementing them, using digital twin workflows. Virtual models allow for testing scenarios and optimizing settings. Approved configurations can be securely deployed to edge or on-premise environments with Telit Cinterion’s connectivity and device management features.
## Scalable Industrial AI Solutions
The deviceWISE Intelligence Suite combines real-time data processing, AI-powered analytics, and digital twin validation, enabling manufacturers to implement autonomous and scalable operations. This platform serves as a significant example of modern manufacturing systems where industrial AI, edge computing, and data platforms are integrated.


















