AI technology stack: Platforms, applications and model types - AI Governance Professional training
AI governance and risk management professionals need a foundational understanding of various AI models and systems they may encounter in their business operations. An AI model typically comprises input data, a pattern-matching algorithm and an output classification. Complex tasks may require a combination of multiple AI models to achieve desired outcomes. The increased rate of AI adoption places significant additional demand on computing resources and supporting infrastructure. Recognizing AI models and systems and identifying the increased technological requirements will help professionals build an AI system that meets organizational needs. Topics The topics in this lesson align to the following performance indicators on the AIGP certification body of knowledge: AI platforms and applications Software used to develop, test, deploy and refresh AI applications How an AI system is used AI models and systems Governance professionals need to be familiar with common AI models and systems the
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