Scholarlink

Artificial intelligence (AI) is no longer an experimental edge technology—it has become central to enterprise strategy. Today’s organizations are seeking to embed AI into the fabric of their operations, from customer service and fraud detection to compliance and personalization. This demand has shifted expectations: modern platforms must support not only data analytics but also native AI and ML capabilities that operate directly where data resides.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Lakehouse AI and Retrieval-Augmented Generation (RAG)

  • 章节

  • 发表日期：

    2025年

查看全文
  • Rajaniesh Kaushikk

摘要

Artificial intelligence (AI) is no longer an experimental edge technology—it has become central to enterprise strategy. Today’s organizations are seeking to embed AI into the fabric of their operations, from customer service and fraud detection to compliance and personalization. This demand has shifted expectations: modern platforms must support not only data analytics but also native AI and ML capabilities that operate directly where data resides.