CEO Talks: The transformative potential of edge computing

TTTech Industrial leaders Georg Kopetz and Herbert Hufnagl recently detailed the evolution of their industrial edge computing strategy, emphasizing the transition from early "fog computing" concepts to modern AI-driven architectures. The company’s Nerve platform serves as a software layer for industrial PCs, enabling machine builders to implement predictive maintenance and digital business models by processing data locally. This approach addresses critical requirements for real-time performance, low latency, and cybersecurity in industrial automation, positioning edge computing as a vital link in the continuum between sensors and the cloud.

TTTech’s involvement in edge computing originated from early IoT collaborations with Cisco, where the concept of "fog computing" was developed to bring cloud-like architectures closer to physical machinery. CEO Georg Kopetz explains that this shift was driven by "data gravity," requiring high compute power, real-time capabilities, and security at the local level to process massive sensor outputs. In 2024, the rise of artificial intelligence and machine learning has further accelerated this trend, as these applications demand the low latency that only edge processing can provide. Kopetz views the relationship between the cloud and the edge not as a competition, but as a seamless continuum where data is processed wherever it is most practical.

The company’s flagship edge platform, Nerve, functions as a "nervous system" for industrial machinery by providing a software layer that can be installed on any industrial PC. This allows machine builders to focus on vertical applications like asset management and visualization while Nerve handles underlying complexities such as edge hosting and real-time databases. General Manager Herbert Hufnagl highlights a specific use case in metal forming, where customers use Nerve to integrate force sensors and control system data to predict tool wear. This predictive maintenance capability allows operators to replace components before failure, significantly reducing expensive machine downtime and enhancing competitive advantage.

Technical robustness and cybersecurity are central to TTTech Industrial’s value proposition, particularly as edge devices must be connected to the internet for cloud synchronization and remote access. The company holds a process certification for the IEC 62443 cybersecurity standard and expects a full product certification for Nerve by the end of 2024. To ensure ongoing security, TTTech utilizes a software bill of materials (SBOM) connected to incident databases to monitor its thousands of software components daily. Additionally, Nerve includes a Soft-PLC component and Ethercat-Master support to facilitate high-speed sensor integration, while its management system allows non-IT experts to deploy new algorithms and AI models via the cloud.