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Description
Iterative is an AI tool that offers a suite of developer tools for machine learning (ML) to manage and operationalize ML models, datasets, and experiments. With Iterative, ML teams can supercharge collaboration and productivity by automating data science workflows across the entire ML model development lifecycle. The tool allows users to manage data by versioning data stored across any cloud and managing labels and annotations. It also enables developers to develop models with experiment versioning and tracking, automate training on any cloud with live reports, and collaborate by building and sharing dashboards of experiments and managing models from development to production and retirement. Additionally, Iterative provides specific tools within its suite, including DVC for data and experiment versioning, MLEM for simplified model deployments, CML for training ML experiments using CI/CD automation, Studio for team collaboration and visualization, and TPI, a Terraform plugin built for machine learning. Iterative"s AI tools help accelerate time-to-market, improve collaboration among teams, and centralize visibility and governance across ML projects.