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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

Sep 9, 2026 · Artificial Intelligence

Office AI Agent Pitfalls: 4 Checklists for Instructions, Permissions, Costs & Compute

This guide identifies five common pitfalls when deploying office AI agents—vague instructions, unstable long-chain tasks, local sleep interruptions, opaque token pricing, and data leakage—and provides four practical checklists covering instruction design, compute stability, cost control, and permission governance to turn error-prone interns into reliable coworkers.

AI AgentCost ManagementData Security

0 likes · 14 min read

Office AI Agent Pitfalls: 4 Checklists for Instructions, Permissions, Costs & Compute

Big Data and Microservices

Sep 8, 2026 · Industry Insights

From Chat to Action: 8 AI Industry Applications Driving Value & Inclusion in 2026

This daily observation covers eight AI application trends across manufacturing, healthcare, finance, agriculture, low-altitude economy, governance, terminals, and investment on September 8, 2026, highlighting AI's shift from conversational tools to productive execution and its expansion from elite enterprises to widespread county-level adoption with concrete metrics.

2026 trendsAI applicationsagriculture

0 likes · 37 min read

From Chat to Action: 8 AI Industry Applications Driving Value & Inclusion in 2026

Big Data and Microservices

Sep 8, 2026 · Industry Insights

WorkBuddy, Doubao, Qwen, Kimi: Which AI Office Agent Tier Actually Covers Your Workflow?

This article compares pricing tiers, credit consumption, and hidden costs of four Chinese AI office agents—WorkBuddy, Doubao, Qwen, and Kimi—using real-world test data to reveal which paid tier truly sustains daily workflows without unexpected overages.

AI office agentscredit systementerprise SaaS

0 likes · 14 min read

WorkBuddy, Doubao, Qwen, Kimi: Which AI Office Agent Tier Actually Covers Your Workflow?

Big Data and Microservices

Sep 7, 2026 · Industry Insights

AI Moves from Talk to Production: 9 Sectors Show 50% Efficiency Gains (Sep 7, 2026)

This daily observation tracks AI's shift from conversational to productive across nine sectors on September 7, 2026, highlighting 50% manufacturing efficiency gains, 90% medical report accuracy, 98.6% banking compliance adoption, and large-scale low-altitude logistics deployments, signaling AI's transition to execution at scale.

AI applicationsfinancehealthcare

0 likes · 42 min read

AI Moves from Talk to Production: 9 Sectors Show 50% Efficiency Gains (Sep 7, 2026)

Big Data and Microservices

Sep 7, 2026 · Industry Insights

How WorkBuddy Hit 20M MAU in Months: Two All-Nighters, Engineering Over Model Strength

Tencent's WorkBuddy grew from a weekend prototype to 20M MAU by prioritizing zero-friction onboarding, rapid iteration, and Hunyuan Hy3 integration that lifted task success from 72% to 90%, achieving 65-75% DAU/MAU retention, but now faces compute bottlenecks and cost-center pressures.

AI AgentCompute BottleneckDAU/MAU Retention

0 likes · 13 min read

How WorkBuddy Hit 20M MAU in Months: Two All-Nighters, Engineering Over Model Strength

Big Data and Microservices

Sep 6, 2026 · Artificial Intelligence

Kimi Work Teardown: Goal Mode, WebBridge & 300 Parallel Agents

Deep dive into Moonshot AI's Kimi Work desktop agent: 24/7 Goal-mode execution, browser automation via logged-in sessions, 300-agent parallel swarms, native financial/academic data integration, and hard limits — 62 tokens/sec, 51% hallucination rate, 50-round memory decay, and a 48-hour compute crunch that halted new subscriptions.

AI AgentsAgent SwarmCompute Constraints

0 likes · 14 min read

Kimi Work Teardown: Goal Mode, WebBridge & 300 Parallel Agents

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

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 applicationsChinaPolicy

0 likes · 33 min read

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

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 AgentsBusiness ContextData Flywheel

0 likes · 15 min read

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

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 applicationsagriculturefinance

0 likes · 44 min read

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