There are several places where you can buy ready-made machine learning algorithms for an industrial IoT solution. Some of the most popular options include:
- Cloud and IoT platform providers: Many cloud-based IoT platforms, such as Rayven Dynamix, Amazon Web Services (AWS), and Microsoft Azure, offer pre-built machine learning algorithms that are built into their ready-to-deploy industrial IoT solutions. These algorithms are often pre-trained and can be easily integrated into existing systems.
- AI and Machine Learning companies: Some companies specialize in providing AI and Machine Learning solutions, they offer pre-built machine learning models that can be used for industrial IoT solutions, such as deep learning models, computer vision models, and time-series models.
- Marketplaces: Some marketplaces like Kaggle and Databolt also provide pre-trained machine learning models that can be used for industrial IoT solutions.
- Open-source libraries: There are several open-source libraries, such as TensorFlow, PyTorch, and scikit-learn, that provide pre-built machine learning algorithms that can be used for industrial IoT solutions. However, it requires a technical background and understanding of the algorithms to use them.
It's important to note that when buying ready-made machine learning algorithms, it's critical to ensure that the algorithms are compatible with your systems, can be easily integrated, and are tailored to your specific use case. Rayven Dynamix, for example, enables you to build your own machine learning algorithms using drag-and-drop or to import your own/purchased Python-based algorithms from elsewhere.
Because this area can be complicated, it’s with considering the level of support and ongoing maintenance that’s required to improve your machine learning algorithms performance - only the most advanced and long-running ones can be considered fire and forget, and will take time to get there.