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Big Data and Microservices
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Big Data and Microservices

Focused on big data architecture, AI applications, and cloud‑native microservice practices, we dissect the business logic and implementation paths behind cutting‑edge technologies. No obscure theory—only battle‑tested methodologies: from data platform construction to AI engineering deployment, and from distributed system design to enterprise digital transformation.

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Latest from Big Data and Microservices

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Big Data and Microservices
Big Data and Microservices
Sep 5, 2026 · Industry Insights

AI Daily: 8 Industry Trends from Factories to Rural Clinics (Sept 5, 2026)

This daily observation covers eight AI application trends on September 5, 2026: industrial agents moving from demos to production, banks quantifying AI value via token metrics, medical models deploying to county hospitals, agricultural AI reaching fields, low-altitude economy forming closed loops, proactive governance agents, embodied AI terminals, and policy-driven ecosystem building.

AI policyAI terminalsagricultural AI
0 likes · 42 min read
AI Daily: 8 Industry Trends from Factories to Rural Clinics (Sept 5, 2026)
Big Data and Microservices
Big Data and Microservices
Sep 4, 2026 · Industry Insights

AI Industry Daily: 8 Sectors Shift from Chat to Execution (Sept 4, 2026)

A comprehensive daily scan of AI applications across manufacturing, healthcare, finance, agriculture, low-altitude economy, governance, terminals, and policy in China, showing concrete metrics like 235k pens/day output, 99.5% defect detection, 13.88M equivalent labor hours in banking, and 1,016 pest types identified, illustrating AI's move from demos to production-scale value.

AI applicationsChinaGovernance
0 likes · 33 min read
AI Industry Daily: 8 Sectors Shift from Chat to Execution (Sept 4, 2026)
Big Data and Microservices
Big Data and Microservices
Sep 4, 2026 · Industry Insights

Enterprise AI's Hidden Battle: Why Organizational Memory Is the Ultimate Moat

Major Chinese tech giants Tencent, Alibaba, and ByteDance are embedding AI agents into their collaboration platforms not to win entry points, but to capture organizational memory—context from chats, documents, meetings, permissions, and business systems—which creates an accumulating, hard-to-replicate moat that shifts value from subjective time savings to objective business outcomes.

AI AgentsEnterprise AIbusiness context
0 likes · 15 min read
Enterprise AI's Hidden Battle: Why Organizational Memory Is the Ultimate Moat
Big Data and Microservices
Big Data and Microservices
Sep 3, 2026 · Industry Insights

AI Industry Sep 3: 8 Trends – Manufacturing 3x, Banking Tokens, Pathology AI 90+ Hospitals

On September 3, 2026, AI applications advanced across eight sectors: manufacturing saw 3x design efficiency via public computing power; banking adopted token metrics in half-year reports with ICBC's 600+ scenarios; Ruijin pathology AI reached 90+ hospitals; agriculture achieved 50-70% water savings; low-altitude economy deployed 300+ drone nests; governance used AI for proactive services; terminals launched first AI agent phone; and investment promotion shifted to ecosystem building.

AI applicationsGovernanceagriculture
0 likes · 44 min read
AI Industry Sep 3: 8 Trends – Manufacturing 3x, Banking Tokens, Pathology AI 90+ Hospitals
Big Data and Microservices
Big Data and Microservices
Sep 2, 2026 · Artificial Intelligence

How Claude’s Unified Memory and Isolated Browser Turn It Into a True Digital Colleague

Anthropic’s latest updates merge Claude’s chat and Cowork memories into a single, topic‑organized store that users can view, edit, delete, and selectively include sensitive topics, while adding an isolated Chromium‑based browser in the Cowork side panel, enhancing continuity and actionable capability but introducing privacy and compliance considerations.

AI AgentsAnthropicClaude
0 likes · 14 min read
How Claude’s Unified Memory and Isolated Browser Turn It Into a True Digital Colleague
Big Data and Microservices
Big Data and Microservices
Sep 1, 2026 · Industry Insights

AI Across Industries on Sep 1 2026: Manufacturing, Healthcare, Finance, Agriculture, Transportation, Governance and More

On September 1 2026 the AI industry observation shows eight parallel trends—from intelligent agents accelerating factory inventory to medical pathology models deployed in over 90 hospitals, 600+ financial model scenarios, data‑driven farming boosts yields, low‑altitude eVTOL flights, AI‑powered city governance, embodied robot phones and a new OPC ecosystem—illustrating AI’s shift from dialogue to execution across sectors.

AIGovernanceIndustry Applications
0 likes · 31 min read
AI Across Industries on Sep 1 2026: Manufacturing, Healthcare, Finance, Agriculture, Transportation, Governance and More
Big Data and Microservices
Big Data and Microservices
Sep 1, 2026 · Industry Insights

Doubao Work vs WorkBuddy vs Qianwen Office: Comparing Three Desktop AI Agents

The 2026 summer shift in office software sees ByteDance, Alibaba and Tencent racing to embed AI agents on desktops, with WorkBuddy's million‑daily users prompting a rapid 30‑day integration at ByteDance, while each product differentiates through ecosystem breadth, DingTalk deep integration, or Feishu context, highlighting organizational context as the lasting competitive moat.

AI AgentsDesktop AIDingTalk
0 likes · 15 min read
Doubao Work vs WorkBuddy vs Qianwen Office: Comparing Three Desktop AI Agents
Big Data and Microservices
Big Data and Microservices
Aug 31, 2026 · Industry Insights

AI Across Industries: Key Deployments and Trends on August 31, 2026

On August 31, 2026, AI technologies reshaped manufacturing, healthcare, finance, agriculture, low‑altitude rescue, public governance, consumer devices, and open‑source modeling, delivering dramatic efficiency gains, cost reductions, broader coverage, and new ecosystem dynamics across dozens of real‑world deployments.

AIIndustry ApplicationsLow‑Altitude Operations
0 likes · 16 min read
AI Across Industries: Key Deployments and Trends on August 31, 2026
Big Data and Microservices
Big Data and Microservices
Aug 31, 2026 · Artificial Intelligence

Why Claude Code Leads: A Deep Dive into Hooks, Subagents, and Dynamic Workflows

The August Agent Harness ranking highlights the rise of framework-level competition, with Claude Code topping the list thanks to its deterministic hooks, isolated subagents, and adaptive dynamic workflows, while the article dissects its six‑layer architecture, compares it to Codex CLI, Cursor and Gemini CLI, and offers practical selection guidance based on task shape and real‑world data.

AI AgentsClaude Codeagent harness
0 likes · 14 min read
Why Claude Code Leads: A Deep Dive into Hooks, Subagents, and Dynamic Workflows