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.
The EMR AI Assistant is an intelligent tool from Alibaba Cloud that streamlines EMR cluster management by offering quick resource queries, operation invocation, anomaly diagnosis, and conversational support, with detailed usage steps, policy code, and practical examples for big‑data operations.
This article outlines Alibaba Cloud's AI‑driven "Smart Sentinel" system, which tackles the three major challenges of large‑scale cloud operations—hard‑to‑detect anomalies, alarm storms, and difficult root‑cause analysis—by deploying multi‑layered detection, intelligent alarm grading, and an end‑to‑end automated response loop.
Huolala, a leading smart logistics platform serving over 14 markets and millions of users, detailed its massive Elasticsearch deployment—over 1.5 万 CPU cores, 40 billion records, 4 PB data—highlighting multi‑AZ design, serverless migration, and a comprehensive management platform that boosted performance, reduced costs, and enabled AI‑driven services.
Leapmotor’s rapid growth to one million production cars drove a shift from daily batch data to minute‑level real‑time analytics, prompting the adoption of Flink as the core engine of a multi‑layered big‑data platform that handles massive IoT signals, supports fault diagnosis, and integrates batch and streaming workloads on the cloud.
Li Auto’s data team tackled the explosion of vehicle‑telemetry data—over a trillion rows and millions of signals per second—by redesigning their data foundation with Alibaba Cloud’s Hologres and Flink, achieving sub‑second latency, elastic scaling, high availability, and significant cost reductions across real‑time and offline workloads.
Since its 2016 launch, Alibaba Cloud EMR has transformed from a basic open‑source Hadoop service into a high‑performance, AI‑enabled big‑data platform, delivering optimized I/O, vectorized processing, and integrated AI functions such as natural‑language SQL, StarRocks and Spark enhancements, while supporting diverse industry workloads.
The article details Alibaba Cloud's MaxCompute transformation into an AI‑native data warehouse, highlighting its serverless elasticity, multimodal data management, unified model lifecycle, AI Function integration, and new distributed Python engine that together address the bursty, high‑complexity data and compute challenges of the generative AI era.
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.
NBA China and Alibaba Cloud teamed up to launch an AI‑driven fan interaction platform that captures fans in real time, generates personalized AI figurines, and delivers a seamless online‑offline experience powered by advanced AIGC models and a high‑concurrency cloud architecture.
This article explains the opportunities and challenges of Mixture of Experts (MoE) models, introduces expert parallelism as a solution to scaling and deployment bottlenecks, and provides a step‑by‑step guide for deploying MoE models with Alibaba Cloud PAI‑EAS, including configuration tips and code examples.
