Data preparation and ingestion is often the first step in ML. Some of our partners have unique capabilities and automated solutions to help prepare, label, and ingest data.
Training an ML model requires experimentation, fine-tuning, and optimization to get the desired outputs. Many partners excel at ML model development for specific use cases.
Trained models are used on a variety of platforms to perform real-world predictions on new data. Many partners offer products to deploy and manage models throughout the entire ML lifecycle.