AI for IOT applications has very different requirements compared to most other domains. Such applications require a very large number of AI models to achieve good performance. For example, a smart factory has many different types of machines and processes. Each unique type of machine or process will need different type of AI for predictive maintenance, anomaly detection, fault diagnosis, and bottleneck detection. If a machine is complex, we may have to model its components separately with their own AI models. The number of AI models required to manage large manufacturing organization grows exponentially. Today most vendors who are developing AI solutions for IOT, they use similar AI model design and architecture for different types of use cases. This approach results in poor performance in most cases.
RMC has developed AI4AI technology which significantly reduces the cost of AI development for IOT applications and provides the best possible performance for every use case. RMC’s AI4AI technology can auto generate good quality custom models by using use-case and device specific training data for various IOT applications. For example, RMC will auto-generate different AI models with unique architectures for predictive maintenance for different types of machines. RMC AI4AI service can also collaborate with data scientists to help improve their productivity by manyfold.