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For enterprise leaders embarking on their AI journey, it is essential to understand the key dimensions of AI development—including types of AI problems, traditional (narrow) vs. generative (foundational) models, and the associated implications for risk, cost, success rates, governance, and data requirements. In Part 3 of this book, we will cover three key topics, traditional machine learning, generative AI, and responsible AI for both traditional and generative AI use cases.

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Traditional Machine Learning (Narrow AI)

  • 章节

  • 发表日期：

    2026年

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  • Rahat Yasir,
  • Kasam Shaikh

摘要

For enterprise leaders embarking on their AI journey, it is essential to understand the key dimensions of AI development—including types of AI problems, traditional (narrow) vs. generative (foundational) models, and the associated implications for risk, cost, success rates, governance, and data requirements. In Part 3 of this book, we will cover three key topics, traditional machine learning, generative AI, and responsible AI for both traditional and generative AI use cases.