“The need for secure data collaboration is more critical than ever, with the need to protect sensitive information, yet share data with partners and other collaborators to improve machine learning models with collective data,” said Kathy Lange, research director at IDC.
“Often, enterprises cannot collect enough of their own data to cover a broad spectrum of outcomes, particularly in healthcare applications, disease outbreaks, or even in financial applications, like fraud or cybersecurity,” Lange added.
Incremental training to help with agility
The incremental training ability added to Clean Rooms will help enterprises build upon existing model artifacts, AWS said.
Model artifacts are the key outputs from the training process — such as files and data — that are required to deploy and operationalize a machine learning model in real-world applications.
