Tagged articles

Data+AI

9 articles · Page 1 of 1
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 24, 2026 · Industry Insights

How Ontology Platforms Bridge Data, Business, and AI as a Semantic Foundation

The article explains what an ontology platform is, why enterprises need it to close the semantic gap between data and business, evaluates core technical capabilities, reviews the market landscape, and offers a step‑by‑step selection guide for building a robust Data+AI semantic infrastructure.

Data+AILLM IntegrationSemantic Modeling
0 likes · 17 min read
How Ontology Platforms Bridge Data, Business, and AI as a Semantic Foundation
DataFunTalk
DataFunTalk
Aug 22, 2026 · Big Data

Next‑Gen MaxCompute: Full‑Modal Engine and Agentic Upgrade Overview

The article outlines MaxCompute’s evolution into a Data+AI platform with a unified model management layer, heterogeneous compute quotas, Blob‑type full‑modal storage, AI Function APIs, and an Agentic interface built on MCP, Skills, and metadata, highlighting real‑world pipelines and performance gains.

AI FunctionAgenticData+AI
0 likes · 12 min read
Next‑Gen MaxCompute: Full‑Modal Engine and Agentic Upgrade Overview
DataFunTalk
DataFunTalk
Jun 16, 2026 · Big Data

How MaxCompute Evolves Data Platforms for AI: Architecture, Features, and Real‑World Cases

The article explains how Alibaba Cloud's MaxCompute transforms a traditional data warehouse into a cloud‑native, multimodal Data+AI platform by introducing a four‑layer architecture, SQL‑based AI functions, the Python‑native MaxFrame framework, and a series of industry case studies that demonstrate performance gains and flexible resource scheduling.

Data+AIMaxComputeMaxFrame
0 likes · 11 min read
How MaxCompute Evolves Data Platforms for AI: Architecture, Features, and Real‑World Cases
DataFunTalk
DataFunTalk
May 26, 2026 · Big Data

How MaxCompute Evolves into an AI‑Ready Data Platform: Architecture, Core Capabilities, and Real‑World Cases

The article details MaxCompute's transformation into a cloud‑native, AI‑centric data warehouse, covering multi‑modal storage, model management, heterogeneous CPU/GPU scheduling, SQL AI functions, the MaxFrame Python framework, and several production case studies that demonstrate performance gains of up to 50% and elastic resource scaling to 160 000 cores.

Data+AIDistributed ComputingLarge‑model preprocessing
0 likes · 13 min read
How MaxCompute Evolves into an AI‑Ready Data Platform: Architecture, Core Capabilities, and Real‑World Cases
DataFunTalk
DataFunTalk
May 8, 2026 · Big Data

How MaxCompute Evolves into a Data+AI Platform: Architecture, Core Capabilities, and Real-World Cases

The article explains how Alibaba Cloud's MaxCompute has been transformed into a cloud‑native Data+AI platform, detailing its layered architecture, multimodal storage, model management, hybrid compute scheduling, SQL AI functions, the MaxFrame Python framework, and several enterprise case studies that demonstrate performance gains and flexible resource orchestration.

AI IntegrationData+AIMaxCompute
0 likes · 11 min read
How MaxCompute Evolves into a Data+AI Platform: Architecture, Core Capabilities, and Real-World Cases
DataFunSummit
DataFunSummit
Apr 27, 2026 · Big Data

How MaxCompute Evolves Big Data Platforms for AI: Architecture, Core Capabilities, and Real‑World Cases

The article details MaxCompute's AI‑driven evolution, covering its multilayer architecture, multimodal storage management, SQL AI functions, the Python‑based MaxFrame framework, and several industry case studies that demonstrate performance gains and flexible resource scheduling for large‑scale AI workloads.

Cloud Data WarehouseData+AIDistributed Computing
0 likes · 12 min read
How MaxCompute Evolves Big Data Platforms for AI: Architecture, Core Capabilities, and Real‑World Cases
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 26, 2025 · Big Data

How MaxCompute Evolves for Python & AI: From SDK to Native Distributed Engine

This article outlines MaxCompute's decade‑long evolution—from the early PyODPS SDK to the native Distributed Python Engine—highlights the challenges big‑data platforms face in the AI era, and showcases Data+AI solutions and real‑world case studies across multimodal processing, massive text deduplication, and autonomous‑driving data pipelines.

AI FunctionsData+AIDistributed Computing
0 likes · 15 min read
How MaxCompute Evolves for Python & AI: From SDK to Native Distributed Engine
DataFunSummit
DataFunSummit
Sep 25, 2024 · Big Data

Evolution of Big Data AI Development Paradigm and Alibaba Cloud’s Integrated Architecture

This article examines how large‑scale big‑data platforms can simplify AI application development, outlines the shift from model‑centric to data‑centric paradigms, and shares Alibaba Cloud’s practical experiences in building an integrated big‑data‑AI architecture, including MaxCompute, Hologres, MaxFrame, and vector search capabilities.

AI IntegrationData+AIHologres
0 likes · 19 min read
Evolution of Big Data AI Development Paradigm and Alibaba Cloud’s Integrated Architecture