Alibaba Cloud Big Data AI Platform
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Alibaba Cloud Big Data AI Platform

The Alibaba Cloud Big Data AI Platform builds on Alibaba’s leading cloud infrastructure, big‑data and AI engineering capabilities, scenario algorithms, and extensive industry experience to offer enterprises and developers a one‑stop, cloud‑native big‑data and AI capability suite. It boosts AI development efficiency, enables large‑scale AI deployment across industries, and drives business value.

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Recent Articles

Latest from Alibaba Cloud Big Data AI Platform

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Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 20, 2026 · Cloud Computing

How Alibaba Cloud’s Agentic Search Redefines Enterprise AI Search

The article analyzes Alibaba Cloud Elasticsearch’s shift from keyword‑based to Agent‑native search, detailing the Agent Native architecture, hybrid retrieval 2.0, FalconSeek engine performance gains of up to 300%, cost reductions of 40‑70%, and the ecosystem of ES Skills, cloud‑native enhancements, and observability that together enable a scalable AI search platform for enterprises.

AI SearchAgentic ArchitectureCloud Computing
0 likes · 13 min read
How Alibaba Cloud’s Agentic Search Redefines Enterprise AI Search
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 17, 2026 · Big Data

What Spark 4.0 Brings: VARIANT Type, Native SQL UDFs, and Serverless Enhancements

Apache Spark 4.0 introduces a high‑performance VARIANT data type for semi‑structured JSON, native SQL UDFs that eliminate Python UDF bottlenecks, a richer Python DataSource API, a new pipeline syntax, upgraded Structured Streaming state management, and Alibaba Cloud EMR Serverless optimizations that together deliver up to 30% speed gains and seamless migration from Spark 3.x.

Apache SparkPython APISQL UDF
0 likes · 12 min read
What Spark 4.0 Brings: VARIANT Type, Native SQL UDFs, and Serverless Enhancements
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 16, 2026 · Artificial Intelligence

Build a Full End‑to‑End Embodied AI Workflow with Isaac Lab Arena

This notebook walks through a complete pipeline—from configuring Isaac Lab Arena environments and downloading datasets, to using Mimic for large‑scale data augmentation, fine‑tuning a GR00T‑N1.5 policy, and performing closed‑loop evaluation—demonstrating how to develop and validate embodied AI tasks on PAI‑DSW.

Data AugmentationGR00TIsaac Lab
0 likes · 14 min read
Build a Full End‑to‑End Embodied AI Workflow with Isaac Lab Arena
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 13, 2026 · Artificial Intelligence

How to Build a Scalable Multimodal Data Pipeline with Alibaba Cloud PAI and DataJuicer

This article details a step‑by‑step guide for constructing a high‑performance multimodal data pipeline—covering video segmentation, duration filtering, frame extraction, safety and aesthetic scoring, and caption generation—using Alibaba Cloud PAI, Paimon, DataJuicer, and distributed frameworks like Ray and Daft, with real‑world performance metrics.

AIAlibaba CloudDaft
0 likes · 30 min read
How to Build a Scalable Multimodal Data Pipeline with Alibaba Cloud PAI and DataJuicer
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 10, 2026 · Artificial Intelligence

How to Supercharge Small LLM Agents with ReAct Data Construction and EasyDistill

This guide explains how to build high‑quality agent training data using ReAct trajectories, synthesize difficult samples with a data‑flywheel, and distill the knowledge into small LLMs on Alibaba Cloud PAI, covering teacher model deployment, EasyDistill installation, data generation, task solving, rubric filtering, and final model deployment.

AgentEasyDistillLLM
0 likes · 14 min read
How to Supercharge Small LLM Agents with ReAct Data Construction and EasyDistill
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 9, 2026 · Artificial Intelligence

How Data Flywheels Accelerate Small Agentic Model Training

This article details a data‑flywheel framework for training compact agentic language models, describing synthetic task generation, mock environment simulation, rubric‑based reward design, iterative hard‑sample augmentation, and experimental results that show consistent performance gains across benchmarks.

Data AugmentationModel EvaluationReward Design
0 likes · 17 min read
How Data Flywheels Accelerate Small Agentic Model Training
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 8, 2026 · Artificial Intelligence

Running Distributed Reinforcement Learning with Isaac Lab’s Newton Engine and Rerun Visualizer on PAI

This guide explains how to use the Newton physics engine and the lightweight Rerun visualizer with Isaac Lab on the PAI platform, covering environment setup, visualizer selection, single‑ and multi‑GPU reinforcement‑learning training, and performance analysis via TensorBoard.

Distributed TrainingIsaac LabNewton engine
0 likes · 9 min read
Running Distributed Reinforcement Learning with Isaac Lab’s Newton Engine and Rerun Visualizer on PAI
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 3, 2026 · Artificial Intelligence

How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark

Alibaba Cloud’s AI Search team introduces Ops‑Agentic‑Search, an enterprise‑grade AI agent framework that tackles core challenges of hallucination, task failure, and long‑term consistency, leverages the GAIA benchmark to demonstrate a 92.36% accuracy—matching human experts—and outlines its technical architecture, key mechanisms, use cases, and future open‑source contributions.

Enterprise AIGAIA benchmarkOpenSearch
0 likes · 11 min read
How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 2, 2026 · Artificial Intelligence

How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark

The article explains the shift of AI agents from passive responders to proactive executors, outlines the challenges of hallucination, task failure, and consistency, introduces the GAIA benchmark, and details how Alibaba Cloud's Ops‑Agentic‑Search achieved a 92.36% accuracy—matching human experts—through global planning, reflection, dynamic context management, and a self‑evolving skills system.

AI agentEnterprise AIGAIA benchmark
0 likes · 12 min read
How Alibaba Cloud’s Ops‑Agentic‑Search Reached Human‑Level Performance on the GAIA Benchmark
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Mar 31, 2026 · Artificial Intelligence

How to Build a Production‑Ready AI Memory System with Mem0 and Elasticsearch

This guide explains how to overcome the stateless nature of large language models by using the Mem0 framework together with Elasticsearch to create a persistent, vector‑searchable memory layer, covering architecture, real‑world scenarios, step‑by‑step deployment, and integration with the OpenClaw agent framework.

AI memoryElasticSearchLLM
0 likes · 15 min read
How to Build a Production‑Ready AI Memory System with Mem0 and Elasticsearch