There are several places where you can buy ready-made machine learning algorithms for an industrial application. Some of the most popular options include:
- Cloud and IoT platform providers: Many cloud-based IoT platforms, such as Rayven, 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 specialise in providing AI and Machine Learning solutions, they offer pre-built machine learning models that can be used for 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. Our low-code iPaaS, Data, ETL, IoT, ETL, Workflow Automation, BI, App Development + PaaS platform, 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.
Speak to us today to find out how we can help you.
