The article analyzes why AI has struggled to enter core enterprise decision processes, proposes that the missing piece is accountable, context‑aware AI, and details how DecideX’s decision‑intelligence platform addresses this gap through a layered architecture, real‑world case studies, and a 5A implementation methodology.
The article analyzes why fast‑moving consumer goods lose most of their natural traffic after purchase, shows that only 5‑10% of scanned users become private‑domain assets, and demonstrates how a one‑code‑per‑item system—through bC linkage, IP flow conversion, and data‑driven segmentation—transforms a simple reward tool into a sustainable repurchase engine, citing real‑world cases from Dongpeng, Kangshifu, and Wanglaoji.
The article presents a six‑module framework that transforms abstract FMCG strategies into concrete, digitized actions by reducing cognitive load, standardizing SOPs, building closed‑loop feedback, empowering frontline staff, focusing resources, and shaping execution culture.
The article reveals how the beverage industry's long‑standing practice of stockpiling inventory to meet sales targets creates a vicious cycle of price gaps, low terminal turnover, cash‑flow strain for distributors, and rampant channel‑hopping, and it proposes data‑driven, consumer‑focused reforms illustrated by Yuanqi Forest and Dongpeng Energy Drink.
The article examines how Xiaohongshu, Kuaishou and Meituan adopted Yunqi Lakehouse’s General Incremental Computing and Single‑Engine architecture to achieve near‑real‑time data warehouses, cutting resource usage to as low as 1/20 of full‑batch jobs, reducing data latency from days to minutes, and improving query performance.
After 320,000 Chinese liquor stores shut down, Guotai’s warehouse‑store alliance connects traditional shops to an instant‑retail flow pool, rebuilds profit structures with guaranteed margins and subsidies, and deploys digital traceability and data dashboards to transform them into fulfillment nodes for on‑demand delivery.
The whitepaper reveals how enterprises can transform unstructured PDFs, scans, and schematics into AI‑ready, structured knowledge by tackling twelve common document‑parsing obstacles—such as complex tables, multi‑column layouts, and handwritten text—and illustrates each solution with detailed case studies from securities, engineering, IoT, semiconductor, and pharmaceutical leaders.
The article compares the five‑code integration used by Dongpeng beverage and Luzhou Laojiao, showing that while both rely on the same technical foundation, Dongpeng applies it to boost sales through consumer pull tactics, whereas Laojiao uses it to restructure channel governance and improve data transparency, delivering distinct business outcomes.
The article analyzes why the traditional "buy‑low‑sell‑high" model for baijiu wholesalers has become structurally obsolete, details how information parity, e‑commerce subsidies and fake‑liquor scandals have eroded pricing power, and showcases three owners who use live‑streaming, private‑domain sales, custom products and mini‑programs to turn the off‑season into a replicable, digital‑driven survival model.
The article analyzes the rapid shift of major consumer brands moving into instant retail, forcing traditional distributors to transform from middlemen to local service hubs, and outlines three critical challenges—capability rebuilding, profit redistribution, and digitalization—while offering strategic paths and concrete case studies to navigate this new landscape.
The article argues that monolithic architecture is not inherently flawed; the real issue is a “big ball of mud” lacking clear module boundaries, and it explains how the MonolithFirst principle, an architecture spectrum, modular‑monolith design rules, and real‑world case studies guide teams to choose the right structure.
The article dissects the rise of the “Goose Leg Aunt” fraud by examining supply constraints, the vendor's substitution decision, cognitive‑dissonance rationalizations, the fraud‑triangle framework, neural adaptation to lying, and how massive online traffic shattered the low‑supervision equilibrium that had kept the deception hidden.
The 2026 China E‑commerce AI whitepaper, based on surveys of more than 900 merchants, reveals that AI has moved from isolated tools to integrated workflow agents, boosting product design, market testing, decision‑making and operational efficiency, and outlines a four‑level AI integration framework for future growth.
The article examines Guangdong Shiwang Distillery's new 50‑acre, 3,000‑ton cellar and its parallel rollout of a one‑code digital marketing platform that combines N‑yuan exchange, consumer red‑packet campaigns, multi‑use terminal codes and dual‑purpose cap codes, delivering measurable sales lifts and deep consumer engagement.
The 2026 FMCG market sees a digital exchange‑purchase revolution where one‑yuan coupons, QR‑code‑linked incentives, and real‑time data integration boost repurchase rates, shelf coverage, and marketing ROI, as demonstrated by Dongpeng, Harbin Beer, and Master Kong case studies.
The white‑spirit industry’s long‑standing parallel‑trade problem cannot be solved by fines alone; Luzhou Laojiao’s 5‑code traceability system and consumer‑driven rebate model demonstrate that aligning distributor incentives with actual bottle openings can dramatically raise scan rates, stabilize prices, and curb channel leakage.
The guide defines the AI Champion role as the internal catalyst who turns AI from a personal toy into a stable productivity lever, outlines six core responsibilities, required capabilities, success and failure case studies, and provides a detailed weekly‑to‑monthly practice framework for enterprise AI transformation.
Most fast‑moving consumer goods brands struggle to link C‑end QR‑code scans to actual sales, yet when used as a growth‑validation mechanism it provides real‑time, granular data, low‑risk experimentation, and a reusable data asset that drives sustainable revenue uplift.
A 22‑year‑old college student used a simple cat meme to gain the trust of a mysterious hacker, uncovered critical DNS and ADB vulnerabilities in the Kimwolf residential‑proxy botnet, and collaborated with security experts to dismantle a network that once controlled nearly two million devices.
The article details how a three‑layer multimodal AI agent framework—covering AI quality inspection, multimodal content generation, and QA interaction—transforms private‑domain marketing by automating content creation, boosting conversion efficiency, and achieving measurable cost and performance gains.
The article presents a comprehensive 2026 enterprise AI literacy framework—adapting the U.S. DOL AI Literacy standards—to guide Chinese companies through five competency modules, seven delivery principles, AI Champion role design, a three‑layer rollout, and real‑world success and failure case studies, with measurable productivity gains and budgeting guidance.
The article analyzes why fast‑moving consumer goods sales have stalled, how most firms mis‑start AI projects by focusing on content creation, and how data‑driven AI applications—illustrated by case studies achieving 210% campaign lift, 98% forecasting accuracy, and 30% inventory turnover reduction—can truly transform the industry.
The article examines how holiday marketing has shifted from simple visual overlays to emotionally resonant designs, outlining a four‑step process—cultural analysis, element refinement, emotional storytelling, and commercial scenario—and showcases Mid‑Autumn, Christmas, and Spring Festival case studies with measurable performance gains.
The article presents a six‑layer Agentic AI governance framework that details concrete operations, implementation steps, and real‑world success and failure cases, guiding enterprises to maximize autonomy and productivity while keeping risks within acceptable limits.
The article analyzes how the shift to marketing digitalization forces traditional IT departments to move from peripheral support roles to strategic growth engines, detailing the three core challenges they face, the value‑redefinition framework, and three concrete pathways—including infrastructure, low‑code enablement, and data‑driven decision making—illustrated with real‑world case studies such as Dongpeng Energy Drink and Luzhou Laojiao.
The author recounts an interview where the question "How do you use AI in your work?" was answered with a concrete, step‑by‑step AI‑assisted workflow that turned a tool outage into a stable, reusable process, demonstrating the value of problem definition over mere tool mentions.
The article analyses three long‑standing FMCG channel problems—opaque product flow, multi‑level fee interception, and low‑adoption digital systems—and shows how a multi‑level “one‑code‑per‑item” framework, combined with BC linkage and business‑process adaptation, delivers real‑time transparency, direct fee delivery and up to 90% reduction in leakage, illustrated by case studies from Dongpeng, BaiXiang and Yanjing.
The article warns that Chinese fast‑moving consumer goods giants face strategic suicide if they pour core legacy products into the instant‑retail channel without segmentation, as the market’s rapid growth triggers price collapse, channel conflict, brand dilution, and loss of user assets, demanding a paradigm shift to digital‑centric, user‑focused operations.
This article analyzes the twin challenges of cap fraud and opaque terminal data faced by low‑budget white‑label beverage brands, explains why heavyweight five‑code solutions are unsuitable, and presents a sub‑¥100,000 lightweight one‑code system with step‑by‑step deployment, flexible marketing modes, and a real‑world case study showing cost savings, data accuracy, and sales uplift.
This article analyzes real workplace deployments of Agentic AI—autonomous planning, tool use, multi‑step execution, and long‑term memory—showing ROI from 171% to 836%, highlighting clear goals, workflow embedding, behavior graphs, human guardrails, and both successful and failed examples.
Facing a stagnant market in 2026, leading Chinese liquor makers are breaking channel deadlocks and efficiency bottlenecks through three coordinated reforms—organizational slimming and empowerment, precise marketing reach, and win‑win vendor collaboration—underpinned by digitalization as the core enabler.
The whitepaper analyzes the data‑driven transformation of the new‑energy battery sector, outlines four core challenges—massive data streams, fast‑changing R&D demands, long manufacturing cycles, and multi‑dimensional quality standards—and demonstrates how SelectDB’s unified lake‑warehouse architecture delivers million‑level throughput, second‑level latency, up to 30× query speedup, and 60% cost reduction across real‑world case studies.
Dongpeng’s 2025 report shows its "补水啦" beverage generated 32.7 billion yuan in revenue, a feat driven not by product alone but by a decade‑long digital channel infrastructure—including a five‑code system, real‑time sales tracking, one‑yuan exchange promotions, and data‑powered scenario marketing—that rivals can’t quickly replicate.
The article analyzes the unique challenges of evaluating AI products—output uncertainty, subjective criteria, over‑fitting risk, high cost, and vague metrics—compares traditional testing with AI testing, proposes a five‑step evaluation workflow, defines concrete metrics such as pass rate and efficiency gain, and illustrates the process with a real‑world sales‑script generation case study, concluding with five key success factors and future trends.
Agentic AI is emerging as the next evolution of large‑language‑model applications, with horizontal use cases maturing and vertical deployments still nascent; this article examines market trends, five key implementation pain points, and how AWS’s Strands Agents SDK and Amazon Bedrock AgentCore address them through real‑world finance and biomedical case studies.
Webminal, a free online Linux learning platform, has survived for fifteen years on a single 8 GB CentOS server, serving over half a million users by using a minimalist stack—including Python 2.7, Flask, Shellinabox, User Mode Linux and eBPF—while deliberately avoiding modern container orchestration and commercial monetisation.
The article examines three recent industrial product design projects—a capsule coffee machine, a phone case, and a smart coffee prototype—to show that mature designs prioritize establishing a clear internal order and functional integration before pursuing distinctive visual styles.
This article walks through a real‑world case where a teacher's mixed‑format exam papers are automatically converted into a structured template using Openclaw, detailing the training process, results, challenges faced by non‑IT users, and the supportive community built around the tool.
The author argues that AI is not a mere tool but a productivity multiplier that can turn a single person into a “super‑individual,” illustrating this with personal workflow automation and a yoga studio’s transformation, and explains why many fail to benefit due to weak models, unclear use‑cases, and lack of integration into daily work.
This article outlines MaxCompute's 15‑year transformation from a traditional structured‑compute engine to an AI‑native data warehouse, detailing its data, heterogeneous compute, and model capabilities, showcasing three core ability pillars, real‑world case studies, and future development directions.
This article walks through a real‑world AI‑driven image generation system for cross‑border e‑commerce, detailing business pain points, stakeholder analysis, technical selection, MVP scope, architecture decisions, metric funnels, gray‑release strategy, and continuous evolution that cut per‑image cost to under ¥0.5 and delivery time to one minute.
Anthropic’s growth‑marketing team, led by a marketer with no coding background, used Claude Code to automate paid‑search, social ads, ASO, email and SEO tasks, cutting a 30‑minute workflow down to 30 seconds and reshaping how non‑technical staff build and maintain tools.
This article recounts a real‑world telecom smart‑terminal project, detailing how disciplined scope management, a structured Work Breakdown Structure, and targeted collaboration enabled an 8‑month delivery despite hardware‑software integration challenges, resource constraints, and strict certification timelines.
An AI product manager discovers that chasing model hype without understanding the business creates embarrassment, and learns to map SOPs, align AI with real metrics like GMV, and turn AI into a profit‑driving tool rather than a self‑indulgent showcase.
This article examines how large‑language models can reconstruct the data‑warehouse DWD layer by automating ETL script generation, data cleaning, standardization, and cross‑table association, presenting three high‑frequency scenarios—structured data cleaning, multimodal data parsing, and intelligent table linking—along with tool selections, step‑by‑step procedures, real‑world case studies, and practical pitfalls.
This article provides a comprehensive guide to Spark UI, explaining each primary and secondary tab, the key metrics they expose, and how to interpret them for performance bottleneck detection, followed by two detailed case studies and practical tuning recommendations for Spark workloads.
This article examines the three main bottlenecks of traditional data warehouses, explains how large‑model AI can redesign the modeling workflow, proposes a layered AI‑enhanced architecture, and provides a step‑by‑step e‑commerce case study with tools, scripts, and best‑practice recommendations to accelerate deployment.
Over six months the team built an AI agent that now answers more than 70% of technical support queries by grounding responses in system data, a curated knowledge base, and a tiered permission model, while also exposing growing technical debt and maintenance challenges.
The article analyzes why traditional government portals fail users, outlines a six‑step user journey (search, guide, ask, appointment, processing, evaluation), and shows how large‑language‑model AI can be embedded at each decision point to turn fragmented services into a seamless, user‑centric digital experience.
Using a principal‑agent framework, the article analyzes how a Zhengzhou logistics entrepreneur eliminated a 1.05 million‑yuan debt by sharing 50% of profits with staff, abolishing attendance checks, and restructuring incentives, supported by detailed financial calculations, Holmstrom’s theory, and practical implementation steps.
This article dissects Huawei's Integrated Product Development (IPD) methodology, detailing its six‑stage closed‑loop workflow, cross‑functional collaboration, risk‑gate mechanisms, and a four‑step strategy for handling strong stakeholders, while illustrating the approach with a 2023 MTO case study and industry‑wide adoption reasons.
The article chronicles how Liu Shiqi built a cross‑border B2B slipper business from scratch, leveraged Midjourney, DALL‑E, GPT‑4 and Zapier to automate design, marketing and sales, and achieved a five‑fold increase in per‑person revenue, 92% gross margin, and data‑driven decision making.
This comprehensive manual outlines ByteDance's Agent platform, covering its technical foundations, architecture, development workflow, real‑world application scenarios, operational optimization, security compliance, future innovation paths, case studies, team collaboration, risk mitigation, tooling, and global adaptation.
This article examines Apache Paimon’s innovative lakehouse architecture, detailing its LSM‑Tree storage, flexible merge engine, and multi‑engine integration, and showcases two real‑world deployments—an operator’s real‑time fraud‑prevention system and a manufacturing firm’s unified data platform—highlighting performance gains and cost reductions.
After ten years of camping on his Washington riverfront property, software engineer Dan Wheeler collaborated with Wittman Estes studio to create a modest 747‑sq‑ft, elevated wedge‑shaped house that embodies restrained modernism, deep site listening, and a design philosophy that values patience, minimalism, and harmony with the natural environment.
The article shows how product managers can avoid the disappointment of a feature that looks perfect but gets no users by building a complete data‑driven loop that combines user‑behavior and business metrics, walks through a real e‑commerce recommendation case, outlines data‑collection pitfalls, metric‑design methods, hypothesis‑driven analysis, testing procedures and concrete steps to turn insights into iterative product improvements.
This case study details how the 58.com UX team used AI tools to create a 40‑second pre‑video for the China Good Employer awards, outlining the visual framework, prompt engineering, segmented generation workflow, and the balance between automation and designer insight.
This article showcases five recent mobile app design case studies—Xianyu’s AI‑generated listings, Alipay’s gamified banner, Qunar’s ticket‑refund retention flow, Endel’s shake‑to‑unlock subscription, and QQ Music’s pull‑down coin center—highlighting how low‑friction interactions, gamification, and visual cues can dramatically improve user engagement and conversion rates.
A chronicle of real‑world operations incidents from 2003 to 2024 shows how simple mistakes—mis‑configured passwords, unplugged cables, hardware mix‑ups, and rushed cloud migrations—can cascade into massive outages, offering hard‑earned lessons for anyone managing production systems.
This article explains how an AI‑driven size‑extension technique using a custom Kontext LoRA model and workflow dramatically speeds up image adaptation for automotive marketing, detailing the training process, resource consumption, labeling strategy, test results, and future prospects while acknowledging current limitations.
This article explores the boundaries and pitfalls of first‑principles thinking, shows how analogies and big‑data mindsets complement it, and illustrates its power through real‑world cases such as Amazon’s simple rules, SpaceX’s Hyperloop cost cuts, and Fujifilm’s pivot from film to skincare.
This case study details YTO Express's comprehensive redesign of its member mini‑program—covering visual branding, interaction consistency, emotional resonance, and multi‑device adaptation—showing how systematic UX upgrades drove a 168% rise in experience scores and dramatic business metric improvements.
This article showcases five recent UI/UX case studies—from Uber's waiting‑time game to Taobao's flash‑sale draw—illustrating how interactive design, gamification, data‑backed rankings, AI assistance, and clever reward mechanics can boost user engagement, reduce friction, and drive conversion across mobile products.
This guide walks senior operations engineers through ten authentic production‑level network problems, demonstrating how to capture and analyze packets with TCPDump, interpret key TCP/IP indicators, and apply concrete fixes ranging from firewall rules to load‑balancer health‑check settings.
This article presents a continuously updated collection of 171 Spring Boot 3 practical cases, covering advanced topics such as global exception handling, custom interceptors, bean retrieval, configuration imports, startup runners, bean definition modification, initialization methods, custom scopes, and graceful shutdown, with full code examples and a free PDF ebook.
This article details Cainiao Group’s ChatBI platform, describing its business background, construction scenarios, AI‑driven logistics use cases, underlying data architecture, DSL‑based query engine, and governance mechanisms, while also sharing a brief Q&A with the product director.
An allegorical case study shows how a temple’s endless creation of specialized departments—water‑carrying, incense‑fund, analysis, and more—fails to solve core resource shortages, exposing flawed processes, unclear responsibilities, and ineffective coordination that ultimately lead to systemic collapse.
A comprehensive case study reveals how user‑first research, information‑priority restructuring, and targeted UI redesign transformed blue‑collar job detail pages, dramatically lowering bounce rates, increasing link conversion, and delivering measurable value for both job seekers and recruiters.
A Chinese courier hub handling 70,000 parcels daily struggled with low service scores, but after deploying a data‑driven "Site Manager Intelligent Assistant" that pushes responsibility, metrics, and corrective actions to managers, its KPIs surged from a 30‑point rating to over 80, dramatically improving efficiency and customer satisfaction.
Anthropic’s internal case study reveals how dozens of teams—from product development and data infrastructure to security, inference, growth marketing, and legal—leveraged Claude Code to automate repetitive tasks, accelerate onboarding, improve code quality, and achieve measurable productivity gains across the organization.
This case study details how Baidu’s design team rebuilt the financial search and stock‑information experience—from a fragmented PC results page to a responsive, Bento‑style layout—enhancing information efficiency, visual professionalism, and user trust across multiple devices.
The article explains how mathematical modeling compresses complex real‑world problems into clear, operable structures, enabling powerful inference through induction, deduction, and inversion, and demonstrates its impact with case studies in urban bike sharing and personalized education.
This guide breaks down the classic product‑manager interview question “Tell me about your most difficult project,” explaining what interviewers assess, key pitfalls to avoid, and a detailed STAR‑R framework with a real‑world case study to help you craft a compelling, data‑driven answer.
This article details China International Aviation's successful DevOps assessment—earning a Level‑2 Continuous Delivery rating—by aligning its refund system with both ITU international standards and domestic Chinese standards, and includes an in‑depth interview on implementation, benefits, challenges, and future plans.
This article presents a curated list of sessions covering cloud Lakehouse technology for real-time, multidimensional data analysis, including case studies from SalesEasy, Changan Auto, Tencent, and JD, as well as discussions on data lake adoption, streaming lake Paimon, and the relevance of metadata‑driven data governance in the digital economy.
This guide breaks down what interviewers look for when asking about your learning and growth, outlines common pitfalls, provides a structured answer framework, and shares a high‑scoring example to help product managers showcase their self‑driven development and impact.
This report examines large model platforms as the engineering foundation for turning base models into business applications, outlines the full lifecycle toolchain, discusses key challenges such as technology selection and secure management, and provides practical case studies and strategic guidance for scalable, value‑driven deployment across industries.
The 25th GOPS Global Operations Conference in Shenzhen showcased Guoxin Securities' senior manager Lin Ying presenting a four‑stage CMDB development journey, a comprehensive data‑governance solution, real‑world case study, and future outlook, highlighting practical insights for digital transformation in operations.
In the era of refined competition, the lower‑tier market demands designs that blend cost‑performance, minimalist functionality, deep channel integration, localized content, and emotional resonance, as illustrated by case studies from Pinduoduo, Kuaishou, OPPO, Alipay, Douyin and others.
Ant Group’s “Aspect‑Fusion Intelligence” system, recognized as an outstanding cybersecurity case at the 2025 Beijing Cybersecurity Conference, leverages large‑model AI and expert knowledge to enhance threat detection, lower false positives, and improve explainability in large‑scale intrusion detection.
This article provides a systematic overview of existing LLM AI Agent communication protocols, categorizing them into four major types, detailing their functions, benefits, and use‑cases, and compares four representative protocols—MCP, A2A, ANP, and Agora—through a concrete travel‑planning scenario.
WeddingJoy, a comprehensive wedding service platform, transformed its data infrastructure by adopting Alibaba Cloud DataWorks, addressing challenges of massive heterogeneous data, improving data governance, enabling AI-driven insights, and boosting development efficiency across its ecosystem.
This article details the 2024‑2027 national IT‑standard action plan, CAICT's dual ITU‑DevOps and domestic DevOps assessment, Galaxy Securities' successful Level‑3 Continuous‑Testing certification for two core projects, and insights from a Q&A interview on implementation challenges, benefits, and future plans.
This article details China’s 2024‑2027 information‑standard action plan, CAICT’s dual ITU‑DevOps evaluation, Galaxy Securities’ successful Level‑3 Continuous Testing certification for two core platforms, and an in‑depth interview revealing the practical benefits, challenges, and future roadmap of adopting DevOps standards in the financial sector.
A 55‑year‑old programmer at Eaton embedded a malicious Java loop that monitors his Azure AD account and, once disabled after his layoff, triggers an endless thread creation that crashes servers, blocks thousands of employees, and leads to a costly legal case.
This article explains the technical principles behind Function Call and ReAct in large language models, provides code samples, compares their strengths and limitations, and illustrates each approach with practical scenarios such as smart customer service and financial analysis assistants.
A comprehensive analysis of AI agents draws on a LangChain survey of over 1,300 practitioners, revealing high adoption intent, key use cases, challenges in performance and control, and deep dives into planning, UI/UX, and memory architectures, supplemented by case studies and a 2025 outlook.
This article explores how DeepSeek AI was fed real negative user feedback from a 58.com B‑side posting page, compares its design recommendations with those of a professional designer, and evaluates the strengths and limitations of AI‑generated UX suggestions.
This article offers a comprehensive, multi‑angle analysis of constructing and applying data indicator systems, detailing their necessity, principles, and processes, and presenting concrete case studies from finance and e‑commerce, while also addressing common challenges such as data quality, organizational coordination, sustainability, and strategies to overcome them.
At the 24th GOPS Global Operations Conference in Shanghai, FAW‑Volkswagen’s tech‑ops lead presented a detailed case study covering the platform’s background, implementation roadmap and results, encountered challenges, and future plans, offering practical insights into integrated DevOps, AIOps, and cloud‑native operations.
This article explains why monolithic applications become problematic as they scale, outlines the key advantages of microservice architectures, provides a step‑by‑step migration guide—including planning, service boundary definition, infrastructure setup, data decoupling, and communication—and illustrates the process with a fintech company case study.
The article details a nine‑month rewrite of a fragmented 23‑interface news‑plugin integration layer into a single trpc‑go service, showing how unified architecture cut development effort by half, boosted stability above 99.99 %, slashed resource costs, raised test coverage to 66 %, and provides practical criteria for deciding when to refactor.
China Pacific Insurance’s chief technology expert and senior security manager discuss how their flagship e‑commerce platform achieved the DevSecOps security delivery level‑2 assessment, the challenges faced, cultural and procedural changes implemented, and the measurable benefits of aligning with both ITU international and domestic standards.
LanZhou Bank’s credit‑system project passed both the ITU DevOps international standard and China’s domestic DevOps continuous‑delivery level‑3 assessment, showcasing how a micro‑service‑based banking platform can boost delivery speed, quality, and digital transformation through a disciplined DevOps practice.
Chinese teachers spend hours grading essays, but an AI‑powered platform that combines Baidu's PaddleOCR and the Wenxin large model now automates scoring, feedback and analytics, delivering six‑times faster results and personalized guidance for both teachers and students across hundreds of schools.
This article explains the concept of baselines in mathematical modeling, outlines how to construct various types such as empirical, random, theoretical, and heuristic baselines, and demonstrates their crucial role in model evaluation, resource allocation, and fostering innovation through practical case studies.
This article showcases six recent UI/UX case studies—from Dazhong Dianping’s coupon‑tear verification to Taobao’s Saving Week animation—highlighting how thoughtful interaction design and visual storytelling can boost user confirmation, efficiency, immersion, and conversion across mobile applications.
The article recounts Firefly Thinking's early BI system limitations, the decision‑making process that led to adopting Volcano Engine, subsequent operational strategies to unlock tool potential, and a forward‑looking vision of data analysis in the large‑model era.
China Southern Airlines achieved leading BizDevOps and continuous delivery capabilities by passing both international ITU DevOps and domestic standards across three key projects, highlighting the strategic impact of DevOps standardization on business value, technology integration, and digital transformation within the airline industry.
The 2024 Spring Travel "Collect ShunShun Card" campaign combined a refreshed brand‑centric visual identity, immersive motion effects, staged gameplay incentives, and AI‑generated assets to boost user participation, increase transaction value, and set new performance benchmarks for the brand.
