The article summarizes a Cloudwise conference talk that explains how AI data differs from traditional big data in organization, cost, and comprehension, and describes why Tongyi Lab built a unified large‑model data platform on MaxCompute, detailing its architecture and processing pipelines.
This article explores how high‑quality inference data has become a new paradigm driving AI breakthroughs, detailing Ant Group's research on inference data paradigms, financial‑sector applications, intelligent labeling and quality inspection, and the AIGD AI data synthesis platform, followed by a technical Q&A.
The article explains how breakthroughs in artificial intelligence depend on high‑quality, large‑scale, and diverse training data, outlines the data‑centric AI movement, details a six‑step workflow for building datasets, and surveys the data industry ecosystem supporting large language model development.
This article presents the background, design principles, architecture, and practical deployment of Xiaomi's AI Data Management Platform, highlighting how unified cataloging, Fileset integration, and notebook‑based development address AI data governance, cost reduction, and workflow efficiency for both structured and non‑structured data.
