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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 17, 2026 · Industry Insights

AI's Industrial Deepening: Dark Factories, Medical Agents, Drone Networks (Sep 17, 2026)

A daily observation of AI's deepening industrial adoption across manufacturing, healthcare, finance, agriculture, low-altitude logistics, urban governance, and consumer terminals, highlighting concrete deployments like dark factories, medical AI agents, drone delivery networks, and AI-powered policy services with measurable efficiency gains.

AI AgentsAI industry applicationsEmbodied Intelligence

0 likes · 36 min read

AI's Industrial Deepening: Dark Factories, Medical Agents, Drone Networks (Sep 17, 2026)

Big Data and Microservices

Sep 17, 2026 · Industry Insights

AI's Economic Shift: From Efficiency to Incremental Value

At the 2026 Inclusion Bund Conference, 40+ embodied intelligence firms showcased robots performing real tasks—pharmacy dispensing in narrow aisles, industrial screw assembly, hazardous environment inspection—demonstrating AI's shift from efficiency gains to enabling previously impossible services, as economists argue AI's true value lies in making the uneconomic doable, purchasable, and tradable.

AI economicsEmbodied IntelligenceVLA models

0 likes · 22 min read

AI's Economic Shift: From Efficiency to Incremental Value

Big Data and Microservices

Sep 16, 2026 · Industry Insights

AI Moves from Talk to Production: Daily Industry Deployment Report (Sep 16, 2026)

This daily observation tracks AI's shift from virtual to real across nine sectors on Sep 16, 2026, highlighting Hebei's 100 manufacturing cases, Ruijin's RuiPath 2.0 pathology model, China Merchants Bank's 7,000 person-years of AI labor, Beidahuang's laser weeding robots, JD's village drone delivery, Liaoning's 12345 AI agent, and Nubia's AI agent phone.

AI industry applicationsAI terminalsManufacturing AI

0 likes · 36 min read

AI Moves from Talk to Production: Daily Industry Deployment Report (Sep 16, 2026)

Big Data and Microservices

Sep 14, 2026 · Industry Insights

AI's Leap to Physical Intelligence: 9 Sectors Scale Beyond Tech Giants (Sept 14, 2026)

Daily observation tracks AI's shift from digital to physical intelligence across nine sectors—manufacturing, healthcare, logistics, agriculture, finance, governance, rural, terminals, and investment—with concrete metrics from 2026 Bund Conference, MIIT actions, and deployments like autonomous ports and rare-disease diagnosis cutting cycles from years to weeks.

AI applicationsagricultureautonomous agents

0 likes · 25 min read

AI's Leap to Physical Intelligence: 9 Sectors Scale Beyond Tech Giants (Sept 14, 2026)

Big Data and Microservices

Sep 13, 2026 · Artificial Intelligence

Choosing an Agent Memory Layer: 7 Critical Decision Points from Write Timing to Forgetting

This guide compares six major agent memory systems—Mem0, Graphiti, Letta, Cognee, Supermemory, and Mnemovela—across seven decision points including write timing, conflict resolution, forgetting strategies, and context assembly, helping engineers select the right memory architecture for their AI agents.

AI AgentsAgent MemoryCognee

0 likes · 30 min read

Choosing an Agent Memory Layer: 7 Critical Decision Points from Write Timing to Forgetting

Big Data and Microservices

Sep 12, 2026 · Artificial Intelligence

Claude, ChatGPT, Gemini Memory Systems Compared: Entries vs States vs Data Sources

This article compares the memory architectures of Claude, ChatGPT, and Gemini, revealing how their fundamental units—discrete entries, synthesized states, and connected data sources—determine auditability, correction, and retention, with practical advice for managing AI memory.

AI memory systemsChatGPTClaude

0 likes · 23 min read

Claude, ChatGPT, Gemini Memory Systems Compared: Entries vs States vs Data Sources

Big Data and Microservices

Sep 11, 2026 · Industry Insights

AI Agents Shift from Tools to Autonomous Executors: 16 Industry Deployments (Sept 2026)

A daily observation report from September 11, 2026 reveals AI has evolved from single-point tools into autonomous execution agents across eight sectors—manufacturing, healthcare, agriculture, transportation, finance, governance, terminals, and investment promotion—with 16 concrete deployments showing measurable efficiency gains, cost reductions, and scalable models.

AI Agentsagricultureautonomous execution

0 likes · 29 min read

AI Agents Shift from Tools to Autonomous Executors: 16 Industry Deployments (Sept 2026)

Big Data and Microservices

Sep 11, 2026 · Artificial Intelligence

Models Change Fast, Memory Lasts Forever: The Real AI Moat

This article argues that AI models are transient compute resources while user memory is a persistent asset, analyzing MemVerge's MemoryBox as a local-first memory layer that separates memory from models, enables multi-model scheduling, and addresses data sovereignty amid the shift to edge AI.

AI MemoryMemVergeMemoryBox

0 likes · 15 min read

Models Change Fast, Memory Lasts Forever: The Real AI Moat

Big Data and Microservices

Sep 10, 2026 · Industry Insights

AI Agent Race Ends: Giants Unify Entry Points, Battle for Rule-Setting Power

In mid-2026, Alibaba, Tencent, ByteDance, and Baidu each consolidated multiple internal AI agent products into single unified office entry points — QwenWork, WorkBuddy, Doubao Work, and Dazi — driven by fragmented user experience, resource dispersion, and brand dilution, shifting competition from visible entry points to invisible rule-setting power over organizational context, workflows, and token distribution.

AI AgentsAlibabaBaidu

0 likes · 16 min read

AI Agent Race Ends: Giants Unify Entry Points, Battle for Rule-Setting Power

Big Data and Microservices

Sep 9, 2026 · Industry Insights

AI Industry Daily: 8 Trends from Robot Manufacturing to Smart Governance (Sep 9, 2026)

The September 9, 2026 AI industry observation highlights eight parallel trends: realistic manufacturing with Chongqing's AI pilot zone and XPeng's robot production line; healthcare deployment with multi-agent systems cutting labor 95%; finance reporting token metrics; low-altitude drone networks; governance automation reducing welfare checks from 20 days to minutes; AI terminals like Nubia's agent phone; and policy-driven service provider targets.

AI applicationsagriculturefinance

0 likes · 41 min read

AI Industry Daily: 8 Trends from Robot Manufacturing to Smart Governance (Sep 9, 2026)