Design machines that enable close human-machine collaboration and make production even more precise, intelligent and cost-efficient.
This vision of Industry 5.0 holds unprecedented potential for mechanical engineers. However, conventional machine learning processes aimed at implementing new future-proof business models encounter some challenges in practice.
The solution? Federated Learning adopts a decentralized approach to machine learning and facilitates progress while simultaneously preserving the data sovereignty of your customers.
Read our five case studies to discover how your industry can reap the benefits of Federated Learning. In this guide, we show you how decentralized machine learning strategies can help you transform into a digital solutions provider.
