Integrate Squark’s Machine Learning AI Platform with Other Systems & Platforms
Customers start with Squark’s no-code interface. Some then move to use the API to create and deploy AI solutions that deeply integrate into their data architectures, including data mesh and data fabric. Reasons to consider the API model:
- Integrate with other platforms, like Domo, Snowflake, or Azure.
- Programmatically call any of Squark’s core components as endpoints, microservices or within your existing business processes, data pipelines, or applications.
- Retrieve the results from any point in the process. For example, export training data after it has been feature engineered to compare against the original datasets and more. ”
- Send API predictions and forecasts to other downstream systems in your AI pipeline to “AI at the Edge.”
- Export the model code in Java or Python for deployment in other AI and big data systems.
