Gartner defines AI governance platforms as tools designed to ensure organizations adhere to organization policy, regulations and industry standards across common responsible AI principles. These platforms allow leaders responsible for AI and other technical or business leaders to streamline governance processes organization wide and serve as a central repository for trust, risk and security controls. They also automate workflow approvals for new AI use cases, applications and to streamline governance processes organization wide. AI governance platforms support a wide range of AI techniques across built, blended, embedded and bring-your-own-AI applications.
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.