At T-Systems, we know that the key to unlocking the potential of data analytics lies in a constant, reliable stream of machine data. By harnessing the insights hidden within this data, we can gain a deeper understanding of the status of machinery, identify potential issues before they become critical, and optimize operations for maximum efficiency.
T-Systems has built a comprehensive toolkit designed to help businesses rapidly build platforms for machine data. With its out-of-the-box standard IoT capabilities, data integration becomes a seamless process, enabling teams to focus on developing industry-specific analytics use cases. By combining the accelerator with our expertise in data and AI, we can help you:
Take the fast track to digital success. Our agile approach delivers early, tangible results, leveraging pre-built components for rapid implementation. So, where do we start? Our business model consultation, guided by the Business Model Canvas, helps you identify valuable use cases and maximize ROI. Experience the power of:
T-Systems’ approach leverages industry-standard technologies and open-source frameworks to ensure maximum flexibility and future-proof your solutions. At the same time, we utilize the power of data-driven cloud services and specialized services such as Microsoft Azure, Amazon AWS, Google Cloud, and Databricks. This gives you the freedom to choose the best platform for your specific needs, without sacrificing compatibility or performance.
Smartification meets Artificial Intelligence (AI): AI and the Internet of Things (IoT) are indisputably among the most significant technological developments of recent years. But the combination of the two into the “Artificial Intelligence of Things” (AIoT) opens new horizons and offers a lot of potential for innovative application scenarios.
