Industrial AI Platform Enables Autonomous Factory Operations

Telit Cinterion will present its deviceWISE Intelligence Suite at Hannover Messe 2026 (April 20–24, Hannover, Germany), demonstrating how industrial data platforms and AI infrastructure enable autonomous operations in manufacturing environments.

Transitioning from data collection to autonomous control
Manufacturers are increasingly seeking to move beyond passive data monitoring toward systems capable of real-time decision-making. The deviceWISE platform addresses this shift by acting as a centralized data and intelligence layer, aggregating and synchronizing machine, process, and enterprise data streams.

By structuring and contextualizing this data, the platform enables continuous operational control and supports the development of an automotive data ecosystem and similar data-intensive industrial environments. This architecture allows manufacturers to transition from reactive responses to predictive and autonomous operations.

AI-driven video analytics at the industrial edge
At the event, deviceWISE will be demonstrated in combination with Lenovo’s industrial edge computing systems and NVIDIA’s AI infrastructure. The setup processes large volumes of visual data from IoT sensors using AI models built on NVIDIA Metropolis Blueprint for video search and summarization.

These video analytics capabilities enable automated monitoring and interpretation of production processes, supporting applications such as:

By executing these workloads at the edge, the system reduces latency and enables immediate action, which is critical for time-sensitive industrial processes.

Unified data backbone for industrial intelligence
The deviceWISE Intelligence Suite functions as a unified data backbone, integrating heterogeneous data sources across the factory floor. This includes operational technology (OT) systems, enterprise platforms, and connected devices.

Such integration supports a digital supply chain by ensuring consistent data flow between production and higher-level systems. It also enables AI models to access comprehensive datasets, improving the accuracy of predictions and recommendations.

Digital twin validation for process optimization
The platform incorporates digital twin workflows that allow manufacturers to simulate and validate operational changes before implementation. These virtual models replicate real-world processes, enabling teams to test scenarios, optimize configurations, and reduce the risk of disruptions.

Once validated, configurations can be deployed securely to edge or on-premises environments using Telit Cinterion’s connectivity and device management capabilities. This approach supports controlled scaling of AI-driven applications across production systems.

Enabling scalable industrial AI deployment
The deviceWISE Intelligence Suite reflects a broader trend toward integrating AI, edge computing, and industrial data platforms into cohesive systems. By combining real-time data processing, AI-driven analytics, and digital twin validation, the platform enables manufacturers to implement scalable and autonomous operations.

Edited by Romila DSilva, Induportals Editor, with AI assistance.