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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.

AIagriculturefinance
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
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.

AILow‑Altitude OperationsOpen‑source Models
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 26, 2026 · Industry Insights

AI Across Industries: Major Deployments and Impact Highlights on August 26 2026

On August 26, 2026, AI technologies were deployed across manufacturing, healthcare, finance, agriculture, transportation, smart devices and ecosystem projects, delivering measurable economic, operational, strategic and social benefits such as a 90% scheduling boost in factories, 27.6% higher fire‑hazard detection, 18‑fold token growth in banks, and the launch of embodied terminals like the Robot Phone.

AISmart Devicesagriculture
0 likes · 25 min read
AI Across Industries: Major Deployments and Impact Highlights on August 26 2026
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 26, 2026 · Industry Insights

What Scenarios Can OntoFlow’s Ontology Platform Power? Building a Business World, Not Just an App

OntoFlow transforms traditional enterprise software by first constructing a unified ontology of objects, relationships, states, rules, and actions, then generating a wide range of applications—from operational dashboards and real‑time monitoring to root‑cause analysis, supply‑chain optimization, digital twins, and AI‑driven decision systems—within a single, continuously updated business world.

AI IntegrationDigital TwinOntology
0 likes · 13 min read
What Scenarios Can OntoFlow’s Ontology Platform Power? Building a Business World, Not Just an App
Big Data and Microservices
Big Data and Microservices
Aug 25, 2026 · Industry Insights

AI Industry Applications on Aug 25, 2026: 8 Sectors Show Rapid Gains

On August 25, 2026, AI moved from dialogue to execution across eight sectors—manufacturing, healthcare, finance, agriculture, transportation, smart governance, rural governance, and consumer devices—delivering measurable economic, operational, strategic, and social value such as 99.99% vehicle pass rates, sub‑second medical record generation, 18‑fold token growth in banking, and million‑acre farm AI coverage.

AIAI devicesSmart Governance
0 likes · 29 min read
AI Industry Applications on Aug 25, 2026: 8 Sectors Show Rapid Gains
Big Data and Microservices
Big Data and Microservices
Aug 24, 2026 · Industry Insights

AI Industry Snapshot: Key Applications and Trends on August 24, 2026

On August 24, 2026 AI moved from conversational to execution, with manufacturing robots, medical record automation, token‑driven finance, large‑scale agricultural models, smart transportation, AI‑powered governance, and new AI‑enabled devices all delivering measurable economic, operational, strategic and social value across China.

AIagriculturefinance
0 likes · 25 min read
AI Industry Snapshot: Key Applications and Trends on August 24, 2026
Big Data and Microservices
Big Data and Microservices
Aug 23, 2026 · Industry Insights

Daily AI Industry Deployment Tracker – August 23, 2026

The report details China’s new national AI‑plus‑manufacturing plan and showcases rapid, large‑scale AI deployments across manufacturing, transportation, agriculture, healthcare, finance, social governance, rural services, and smart terminals, highlighting concrete metrics, economic impact, and strategic implications.

Artificial Intelligenceagriculturefinance
0 likes · 14 min read
Daily AI Industry Deployment Tracker – August 23, 2026
Big Data and Microservices
Big Data and Microservices
Aug 22, 2026 · Industry Insights

AI Industry Rollout: Key Deployments and Impact on Aug 22 2026

On August 22 2026 the AI industry moved from conversational to execution‑level applications, with humanoid robots accounting for 97% of global shipments, model‑deployment times cut from six to one hour in manufacturing, credit‑approval processes reduced to seconds in finance, and AI‑driven productivity gains across robotics, healthcare, agriculture, transportation, governance and consumer devices.

AIagriculturefinance
0 likes · 24 min read
AI Industry Rollout: Key Deployments and Impact on Aug 22 2026
Lakehouse Research Base
Lakehouse Research Base
Aug 20, 2026 · Big Data

Big Data Across 10 Industries: Finance, New Energy & AI — Who Reigns as Data King?

This article maps big data applications across ten industries — finance, retail, manufacturing, healthcare, government, transportation, new energy, AI, agriculture, and property — detailing use cases, technical architectures, and measurable value, concluding that AI and new energy form a mutually reinforcing data-driven loop.

Artificial IntelligenceMLOpsReal-time Analytics
0 likes · 32 min read
Big Data Across 10 Industries: Finance, New Energy & AI — Who Reigns as Data King?
Big Data and Microservices
Big Data and Microservices
Aug 19, 2026 · Industry Insights

AI Industry Snapshot: Unmanned Logistics, Embodied Device, Governance Hub

On August 19 2026, AI deployments surged across sectors—from 437 night-time unmanned delivery routes in Shenzhen and 400 k pre‑orders of the Honor Robot Phone, to a provincial governance hub aggregating over 2 trillion data records, while manufacturing, finance, healthcare, agriculture and industry projects reported significant efficiency gains and economic value.

AIagriculturefinance
0 likes · 20 min read
AI Industry Snapshot: Unmanned Logistics, Embodied Device, Governance Hub
Big Data and Microservices
Big Data and Microservices
Aug 13, 2026 · Industry Insights

AI Industry Applications on Aug 13 2026: Manufacturing, Healthcare, Finance & More

On August 13, 2026 AI moved from conversational to execution across manufacturing, healthcare, finance, agriculture and other sectors, delivering concrete value such as Nio’s 3‑minute vehicle inspection with 99.7% defect accuracy, Dippu‑Huawei’s 97.8% task success, medical AI accuracies above 99%, token‑driven banking growth, and large‑scale robotics deployments.

AIagriculturefinance
0 likes · 21 min read
AI Industry Applications on Aug 13 2026: Manufacturing, Healthcare, Finance & More
Frontline Investigation
Frontline Investigation
Aug 8, 2026 · Artificial Intelligence

Silent LLM Upgrades: When 'Smarter' Models Break Production Workflows

Frequent, unannounced LLM upgrades in industry applications can silently alter decision boundaries, tool usage, and confirmation logic, breaking established processes. The article proposes a four-dimension observation framework and argues for reversible, observable iterations with versioned knowledge, rules, and orchestration to maintain trust and compliance.

AI GovernanceAI complianceLLM upgrades
0 likes · 12 min read
Silent LLM Upgrades: When 'Smarter' Models Break Production Workflows
Big Data and Microservices
Big Data and Microservices
Aug 8, 2026 · Industry Insights

AI Hits Value‑Creation Threshold: Daily Industry Impact Highlights (Aug 8 2026)

After the central political bureau set the agenda for a new intelligent economy, AI deployments across manufacturing, finance, healthcare, logistics, agriculture, governance and consumer devices have crossed the value‑creation threshold, delivering multi‑million‑yuan gains, 90%+ automation, 83% diagnostic accuracy and rapid scaling of smart solutions.

AIagriculturefinance
0 likes · 19 min read
AI Hits Value‑Creation Threshold: Daily Industry Impact Highlights (Aug 8 2026)
Big Data and Microservices
Big Data and Microservices
Aug 3, 2026 · Industry Insights

AI Industry Boom: 5% Fermentation Gain, 98% Medical Accuracy, 140T Tokens Daily

On August 3, 2026 AI applications surged across manufacturing, healthcare, finance, agriculture, logistics and governance, delivering up to 5% production increases, 98% diagnostic accuracy, 151% market growth for medical agents, and daily token usage exceeding 140 trillion, illustrating the technology's expanding execution capability and rural penetration.

AIMedicalagriculture
0 likes · 17 min read
AI Industry Boom: 5% Fermentation Gain, 98% Medical Accuracy, 140T Tokens Daily
Big Data and Microservices
Big Data and Microservices
Jul 28, 2026 · Industry Insights

AI Industry Applications (July 28 2026): Intelligent Agents Move from Understanding to Doing

The July 28 2026 AI industry roundup presents 21 real‑world cases—from manufacturing quality‑inspection robots and chemical‑safety large models to finance AI agents, autonomous driving, AI‑enabled agriculture, smart city platforms and the first mass‑produced AI‑agent smartphone—showing how intelligent agents are shifting from merely understanding queries to actively executing tasks across sectors.

AICase Studiesindustry applications
0 likes · 37 min read
AI Industry Applications (July 28 2026): Intelligent Agents Move from Understanding to Doing
Big Data and Microservices
Big Data and Microservices
Jul 25, 2026 · Industry Insights

AI Beyond the Chatbox: Real-World Deployments in Factories, Hospitals, Streets, and Fields after WAIC 2026

After WAIC 2026, sixteen AI-powered case studies across nine sectors—from manufacturing lines and autonomous robotaxis to intensive‑care hospital models, smart‑city governance, agricultural big‑models, and AI‑enabled rural services—demonstrate AI’s shift from showcase to mass‑production, emphasizing trusted industrial AI, physical agent execution, and scalable value metrics.

AISmart AgentsWAIC 2026
0 likes · 23 min read
AI Beyond the Chatbox: Real-World Deployments in Factories, Hospitals, Streets, and Fields after WAIC 2026
Big Data and Microservices
Big Data and Microservices
Jul 24, 2026 · Artificial Intelligence

AI in 9 Industries: 15 Real-World Cases Reveal Digital‑to‑Physical Shift

The report analyzes fifteen concrete AI deployments across manufacturing, equipment, industrial platforms, transportation, agriculture, finance, insurance, healthcare, social governance, rural governance and smart terminals, detailing economic, operational, strategic and social value metrics that illustrate AI’s move from digital tools to system‑wide physical execution.

AICase Studieshealthcare
0 likes · 25 min read
AI in 9 Industries: 15 Real-World Cases Reveal Digital‑to‑Physical Shift
Big Data and Microservices
Big Data and Microservices
Jul 23, 2026 · Industry Insights

AI Across Industries: July 23 2026 Insight Report

The July 23 2026 AI industry report analyzes fifteen recent AI deployments—from manufacturing and smart factories to finance, healthcare, and rural governance—detailing concrete performance gains, four‑dimensional value assessments, and the shift from isolated tools to systemic, trustworthy AI solutions.

Artificial IntelligenceCase StudiesValue Analysis
0 likes · 23 min read
AI Across Industries: July 23 2026 Insight Report
Fighter's World
Fighter's World
Jan 9, 2026 · Artificial Intelligence

Compound Engineering: Accelerating the Compound Evolution of AI Agents

The article analyzes how Compound Engineering—a methodology that teaches AI agents through work, extracts category‑level rules from bugs, maintains a living knowledge base, and compresses feedback loops—enables agents to remember past experience, achieve compounding productivity gains, and be applied beyond coding to industry domains.

AI AgentsCompound EngineeringContinuous Learning
0 likes · 22 min read
Compound Engineering: Accelerating the Compound Evolution of AI Agents
Data Party THU
Data Party THU
Nov 21, 2025 · Artificial Intelligence

Unlocking 2025 Multi-Agent AI: Core Tech, Frameworks, and Emerging Trends

This article analyzes the technical foundations, development frameworks, real‑time inference optimizations, typical industry deployments, and future research directions of multi‑agent systems in 2025, highlighting protocols like FIPA‑ACL and MCP, tools such as LangGraph and ADP3.0, and edge‑computing breakthroughs.

AI architectureDistributed ComputingEdge AI
0 likes · 16 min read
Unlocking 2025 Multi-Agent AI: Core Tech, Frameworks, and Emerging Trends
Data Party THU
Data Party THU
Aug 23, 2025 · Industry Insights

How Apache IoTDB Dominated Benchmarks and Powered Industry 2023‑2025

The article summarizes the 2025 Time Series Database Innovation Conference where Apache IoTDB’s evolution, technical breakthroughs, benchmark leadership, open‑source community growth, and real‑world industrial deployments from aerospace to oil‑gas are detailed, highlighting the upcoming IoTDB 2.0 vision.

Apache IoTDBBenchmarksDB+AI
0 likes · 11 min read
How Apache IoTDB Dominated Benchmarks and Powered Industry 2023‑2025
Qborfy AI
Qborfy AI
Aug 8, 2025 · Artificial Intelligence

Why Transformers Revolutionized AI: A Deep Dive into Self‑Attention

This article explains how the Transformer model replaces sequential RNN processing with parallel self‑attention, detailing its core components, positional encoding, encoder‑decoder workflow, industry impact, and surprising facts such as training speed gains and energy efficiency.

AITransformerdeep learning
0 likes · 5 min read
Why Transformers Revolutionized AI: A Deep Dive into Self‑Attention
DataFunSummit
DataFunSummit
Jul 19, 2025 · Artificial Intelligence

Big Data Meets Generative AI: Industry Transformations from Prof. Dou

Prof. Dou Dejing shares his journey into Fudan University's Data Intelligence Lab, outlines the history and synergy of big data and AI, reviews generative AI breakthroughs, evaluates large‑model strengths and weaknesses, and explores their expanding industrial applications and market potential.

Artificial Intelligencebig datagenerative AI
0 likes · 13 min read
Big Data Meets Generative AI: Industry Transformations from Prof. Dou
Data Thinking Notes
Data Thinking Notes
Jun 8, 2025 · Artificial Intelligence

Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries

This article presents a panoramic view of AI large‑model technologies, showcasing a series of architecture diagrams that illustrate general model frameworks, RAG knowledge‑base structures, agricultural and retail applications, IoT integration, compliance and risk‑management setups, agent platforms, and CRM‑enhanced solutions.

AIRAGarchitecture
0 likes · 3 min read
Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jun 7, 2025 · Artificial Intelligence

How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”

The article explains how large AI models are evolving from simple chatbots into reasoning-powered agents integrated with massive domain knowledge, creating powerful “industrial brains” that can understand and solve complex real‑world problems, reshaping the future of IT and the internet industry.

AIAgentsindustry applications
0 likes · 6 min read
How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”
Architects' Tech Alliance
Architects' Tech Alliance
Mar 28, 2025 · Artificial Intelligence

How DeepSeek Leverages Huawei Ascend to Boost AI Inference Efficiency

The report analyzes DeepSeek's latest V3 and R1 models, highlights their scaling‑law‑driven cost reductions, explains how Huawei Ascend optimizes inference by cutting KV‑Cache storage and improving compute efficiency, and surveys the model’s deployments across finance, government, manufacturing, and healthcare sectors.

AI EfficiencyAI inferenceDeepSeek
0 likes · 4 min read
How DeepSeek Leverages Huawei Ascend to Boost AI Inference Efficiency
Meituan Technology Team
Meituan Technology Team
Jan 9, 2025 · Artificial Intelligence

Roundtable Discussion on Embodied Intelligence at Meituan Robot Research Institute 2024 Academic Annual Meeting

At Meituan Robot Research Institute’s 2024 academic meeting, a diverse panel of scholars and entrepreneurs debated the relative importance of hardware and algorithms for embodied intelligence, identified near‑term market niches such as hazardous‑environment and household assistance, projected rapid scaling to thousands of autonomous humanoids, and highlighted safety, mass‑market adoption, and ethical considerations as key challenges.

Artificial IntelligenceEmbodied AIHuman-Robot Interaction
0 likes · 27 min read
Roundtable Discussion on Embodied Intelligence at Meituan Robot Research Institute 2024 Academic Annual Meeting
Data Thinking Notes
Data Thinking Notes
Dec 26, 2024 · Artificial Intelligence

How AI Large Models are Transforming Industries: Trends, Challenges, and Opportunities

This report, jointly authored by Qianzhan Industry Research Institute, Shougang Fund CANPLUS, and Huawei Cloud, examines AI large‑model applications across four dimensions—overview, current status with case studies, pain points and solutions, and future trends—highlighting how these models boost production efficiency, balance cost, privacy, and performance, and elevate data’s role in industry.

AIArtificial Intelligencedata efficiency
0 likes · 4 min read
How AI Large Models are Transforming Industries: Trends, Challenges, and Opportunities
Baidu Tech Salon
Baidu Tech Salon
Nov 14, 2024 · Artificial Intelligence

How Baidu’s Wenxin Model Hit 430 Million Users and What Its New Tech Means for AI

At Baidu World 2024, CTO Wang Haifeng revealed that Wenxin Yiyan has reached 430 million users, detailed the model’s retrieval‑augmented and multimodal generation breakthroughs, showcased intelligent‑agent‑driven coding tools, and highlighted expanding AI applications across education, sports, and industry.

AIRetrieval Augmentationindustry applications
0 likes · 7 min read
How Baidu’s Wenxin Model Hit 430 Million Users and What Its New Tech Means for AI
DataFunTalk
DataFunTalk
Nov 13, 2024 · Artificial Intelligence

Baidu World 2024: Li Yanhong’s Keynote on Large‑Model Advances, iRAG, Intelligent Agents and the No‑Code Tool “Miaoda”

At the 2024 Baidu World conference, CEO Li Yanhong presented a one‑hour keynote outlining Baidu’s recent breakthroughs in large‑model technology—including the retrieval‑augmented iRAG system, the rise of intelligent agents, and the launch of the no‑code “Miaoda” tool—highlighting their industrial applications and future impact.

Artificial IntelligenceNo-codegenerative AI
0 likes · 23 min read
Baidu World 2024: Li Yanhong’s Keynote on Large‑Model Advances, iRAG, Intelligent Agents and the No‑Code Tool “Miaoda”
DataFunSummit
DataFunSummit
Jun 11, 2024 · Artificial Intelligence

AI Technology Evolution, Commercial Drivers, and Practical Applications in Iron Spectrum Image Recognition, Smart Clause Libraries, and Fire Detection

This article examines the commercial forces behind AI technology evolution, explores academic research on iron‑spectrum image recognition, and details product‑level deployments such as smart clause libraries and fire‑detection systems, while highlighting challenges, strategic approaches, and future outlooks for AI adoption.

AIcomputer visionindustry applications
0 likes · 21 min read
AI Technology Evolution, Commercial Drivers, and Practical Applications in Iron Spectrum Image Recognition, Smart Clause Libraries, and Fire Detection
Baidu Tech Salon
Baidu Tech Salon
May 27, 2024 · Industry Insights

How Large Language Models Are Transforming Industries

This report examines the technical evolution of large AI models, outlines industry demand, explains how these models add value across sectors, and discusses future challenges and considerations for large‑model‑driven transformation in a wide range of businesses.

AI AdoptionArtificial Intelligenceindustry applications
0 likes · 2 min read
How Large Language Models Are Transforming Industries
DataFunSummit
DataFunSummit
Apr 12, 2024 · Artificial Intelligence

Exploring the Application of AI Large Models in the Automotive Industry

This article provides a comprehensive overview of AI large‑model development, defines what constitutes a large model, discusses current challenges such as cost, privacy and safety, and examines how these models can improve efficiency across automotive marketing, sales, service, data management, infrastructure building, and future automation stages.

AIAutomotivedata management
0 likes · 13 min read
Exploring the Application of AI Large Models in the Automotive Industry
DataFunTalk
DataFunTalk
Apr 3, 2024 · Artificial Intelligence

DataFunCon 2024 Shanghai: AI, Big Data, Cloud and Industry Forum Program

DataFunCon 2024 Shanghai brings together leading experts from AI, big data, cloud computing, and industry sectors to discuss cutting‑edge technologies, large‑model applications, intelligent operations, and digital transformation across automotive, healthcare, finance, retail, and entertainment.

Cloud Computingbig datadata governance
0 likes · 69 min read
DataFunCon 2024 Shanghai: AI, Big Data, Cloud and Industry Forum Program
DataFunSummit
DataFunSummit
Apr 1, 2024 · Artificial Intelligence

DataFunCon 2024 Shanghai Conference Program Overview

The DataFunCon 2024 Shanghai conference brings together leading experts from academia and industry to discuss cutting‑edge topics such as large language models, AI‑driven operations, data governance, digital transformation, and emerging applications across automotive, finance, retail, and entertainment sectors.

AICloud Computingbig data
0 likes · 69 min read
DataFunCon 2024 Shanghai Conference Program Overview
NewBeeNLP
NewBeeNLP
Mar 10, 2024 · Industry Insights

What WWW'24 Papers Reveal About LLMs in Search & Recommendation

This overview summarizes six WWW 2024 industry papers that apply large language models to e‑commerce search, personalized query suggestion, article recommendation, collaborative filtering, and lifelong sequential behavior understanding, highlighting their methods, experimental results, deployment status, and emerging trends in LLM‑driven search and recommendation.

LLMWWW2024industry applications
0 likes · 16 min read
What WWW'24 Papers Reveal About LLMs in Search & Recommendation
Baidu Tech Salon
Baidu Tech Salon
Jul 21, 2023 · Artificial Intelligence

IDC Report: Baidu Wenxin Large Model Leads AI Evaluation with 7 Full Scores

IDC’s 2023 AI Large Model Technology Capability Assessment names Baidu’s Wenxin (ERNIE) series as the overall leader, earning seven full scores across twelve dimensions—including the sole perfect score for algorithm model—thanks to its four‑layer stack, knowledge‑enhanced core, PaddlePaddle platform, and extensive industry deployments with over 150,000 enterprises.

AI large modelsBaiduERNIE
0 likes · 6 min read
IDC Report: Baidu Wenxin Large Model Leads AI Evaluation with 7 Full Scores
Baidu Tech Salon
Baidu Tech Salon
May 29, 2023 · Artificial Intelligence

Baidu CTO Wang Haifeng Highlights Wenxin Yiyan Large Language Model at Zhongguancun Forum

At the Zhongguancun Forum, Baidu CTO Wang Haifeng showcased the self‑developed Wenxin Yiyan large language model—demonstrating its knowledge‑enhanced Q&A, writing, poetry, video generation and reasoning abilities, its integration as an intelligent office assistant, and its role in driving a model‑as‑a‑service ecosystem that fuels China’s AI‑led industrial transformation.

AI policyArtificial IntelligenceBaidu
0 likes · 7 min read
Baidu CTO Wang Haifeng Highlights Wenxin Yiyan Large Language Model at Zhongguancun Forum
DataFunSummit
DataFunSummit
Mar 21, 2023 · Artificial Intelligence

Interview with Huawei Noah's Ark Lab Senior Researcher Zhou Min on Graph Machine Learning: Research, Deployment, Challenges, and Trends

In this DataFun interview, Huawei Noah's Ark Lab senior researcher Zhou Min discusses the state of graph machine learning in academia and industry, covering algorithmic foundations, model variants, practical applications, scalability challenges, and future directions for more universal feature extraction across domains.

AI researchDataFunGraph Machine Learning
0 likes · 9 min read
Interview with Huawei Noah's Ark Lab Senior Researcher Zhou Min on Graph Machine Learning: Research, Deployment, Challenges, and Trends
AntTech
AntTech
Feb 24, 2023 · Artificial Intelligence

Large-Scale Complex Heterogeneous Graph Data Intelligent Analysis Technology Wins 2022 CIEE Science and Technology Award

The 2022 China Institute of Electronics (CIEE) Science and Technology Award recognized a collaborative project between Beijing University of Posts and Telecommunications and Ant Group for pioneering large-scale heterogeneous graph neural network models, a trillion‑scale dynamic graph learning system, and extensive industry applications, earning top honors, patents, papers, and standards.

Graph Neural NetworksTechnology Awardheterogeneous graphs
0 likes · 4 min read
Large-Scale Complex Heterogeneous Graph Data Intelligent Analysis Technology Wins 2022 CIEE Science and Technology Award
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Feb 20, 2023 · Industry Insights

Why Pre‑trained Large Models Are the New Infrastructure for AI Applications

Pre‑trained large models are emerging as the foundational infrastructure for AI across industries; this article analyzes their technical advantages, application trends in NLP, CV and multimodal domains, presents a telecom customer‑service case study with performance benchmarks, and outlines future deployment challenges and research directions.

NLPPrompt Tuningcomputer vision
0 likes · 23 min read
Why Pre‑trained Large Models Are the New Infrastructure for AI Applications
Tencent Cloud Developer
Tencent Cloud Developer
Jul 27, 2022 · Industry Insights

How 5G Is Steering the Future of Autonomous Driving and Industry Applications

The article reviews the TVP 5G technology sharing conference, summarizing expert analyses on 5G’s three‑year commercial rollout, its impact on autonomous driving, industrial IoT, mining and port logistics, the challenges of large‑scale deployment, and strategic recommendations for accelerating 5G‑driven digital transformation.

5GAutonomous DrivingCloud Computing
0 likes · 25 min read
How 5G Is Steering the Future of Autonomous Driving and Industry Applications
AntTech
AntTech
Jun 14, 2022 · Big Data

Insights on Graph Computing: Technology, Applications, and Future Directions

Professor Chen Wenguang discusses how graph computing—originating from graph theory—offers a powerful way to model relationships across industries, its rapid development in China, challenges in scaling, integration with AI via graph neural networks, and the collaborative efforts needed between academia and industry to advance the field.

AIGraph Neural NetworksGraph Processing
0 likes · 17 min read
Insights on Graph Computing: Technology, Applications, and Future Directions
DataFunTalk
DataFunTalk
Mar 17, 2022 · Artificial Intelligence

A Survey of Text Classification and Intent Recognition: Industrial and Research Perspectives

This article reviews recent developments in text classification and intent recognition, comparing industrial practices such as business‑coupled feature engineering with research trends like pretrained language models, and provides references and practical insights for building effective NLP solutions.

NLPPretrained ModelsText classification
0 likes · 13 min read
A Survey of Text Classification and Intent Recognition: Industrial and Research Perspectives
AntTech
AntTech
Mar 1, 2022 · Big Data

Graph Computing at Ant Group: From Fraud Prevention to Industry‑Wide Impact

The article explains how Ant Group leverages large‑scale graph computing—through its GeaBase and TuGraph platforms and a dedicated research team—to enhance real‑time fraud detection, drive industry standards, and explore future applications across finance, energy, and public services.

Ant GroupTuGraphbig data
0 likes · 7 min read
Graph Computing at Ant Group: From Fraud Prevention to Industry‑Wide Impact
Beike Product & Technology
Beike Product & Technology
Dec 23, 2021 · Artificial Intelligence

Highlights from the CNCC 2021 Knowledge Graph and Graph Machine Learning Forum

The CNCC 2021 forum brought together leading academics and industry experts to discuss advances in graph neural networks, graph computing for quantum chemistry, and practical applications of knowledge‑graph reasoning in sectors such as real‑estate and online video, showcasing both research breakthroughs and industrial deployment strategies.

Artificial IntelligenceGraph Neural NetworksQuantum Chemistry
0 likes · 8 min read
Highlights from the CNCC 2021 Knowledge Graph and Graph Machine Learning Forum
DataFunSummit
DataFunSummit
Dec 8, 2021 · Artificial Intelligence

Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details

The DataFunCon Knowledge Graph Forum on December 18 gathers leading experts from academia and industry to discuss large‑scale knowledge graph construction, storage, applications, and challenges, offering attendees insights into cutting‑edge AI techniques, graph databases, and practical deployment strategies across multiple domains.

Artificial IntelligenceGraph DatabasesKnowledge Extraction
0 likes · 11 min read
Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details
Tencent Cloud Developer
Tencent Cloud Developer
Dec 2, 2021 · Cloud Computing

Challenges and Exploration of IoT Technology in Industry Applications

Chen Jie’s presentation at the Techo TVP Developer Summit traces IoT’s evolution, outlines Tencent Cloud’s four‑layer architecture, security and reliability mechanisms, developer SDKs, and real‑world case studies—including large‑scale consumer speakers and audio‑video solutions—demonstrating how the platform turns connectivity into intelligent industrial applications.

IoTTencent Cloudaudio-video
0 likes · 23 min read
Challenges and Exploration of IoT Technology in Industry Applications
DataFunTalk
DataFunTalk
Mar 18, 2021 · Artificial Intelligence

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

This presentation by Baidu senior R&D engineer Wang Quan outlines the evolution, architecture, and recent breakthroughs of Baidu's knowledge graph, covering universal, event, video, and industry-specific graphs, key technologies such as open knowledge mining, self‑learning, multi‑source fusion, and their applications in search, recommendation, dialogue, and intelligent services.

Artificial IntelligenceEvent Extractionindustry applications
0 likes · 22 min read
Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions
DataFunTalk
DataFunTalk
Dec 9, 2020 · Artificial Intelligence

DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details

The DataFunTalk Year-End Knowledge Graph Forum on December 19, 2023, will be streamed live and feature four expert speakers from Baidu, Alibaba, Meituan, and Beike who will share cutting‑edge knowledge‑graph technologies, applications, and practical techniques for industry and research audiences.

Artificial Intelligenceconferenceindustry applications
0 likes · 7 min read
DataFunTalk Year-End Knowledge Graph Forum – Schedule, Speakers, and Registration Details
Tencent Cloud Developer
Tencent Cloud Developer
Apr 19, 2019 · Artificial Intelligence

Tencent Cloud Face Recognition Technology: Products, Architecture, and Industry Applications

The article outlines Tencent Cloud’s face‑recognition technology—from its deep‑learning‑based algorithm training and multi‑layer system architecture, through the YouTu Lab‑powered product suite for detection, analysis, comparison, liveness and search, to real‑world deployments in security, metro transportation and retail, highlighting integration challenges and performance optimizations.

AI productsSmart RetailSmart Transportation
0 likes · 18 min read
Tencent Cloud Face Recognition Technology: Products, Architecture, and Industry Applications
Tencent Cloud Developer
Tencent Cloud Developer
Aug 1, 2018 · Artificial Intelligence

How AI Powers Real-World Apps: From Face Filters to Medical Imaging

The July 28 Tencent Cloud community salon in Beijing gathered five AI experts who demonstrated practical AI applications—including computer‑vision face filters, OCR services, smart construction attendance, game AI, and breast‑cancer detection—showing how cloud‑based models, data pipelines, and deployment strategies turn research into usable products.

AICloud AIOCR
0 likes · 21 min read
How AI Powers Real-World Apps: From Face Filters to Medical Imaging
21CTO
21CTO
Jan 18, 2018 · Blockchain

Understanding Blockchain: Fundamentals, Core Technologies, and Real‑World Applications

This comprehensive guide explains blockchain fundamentals, its core technologies such as blocks, hash functions, Merkle trees, consensus mechanisms and smart contracts, and explores diverse industry applications—from digital currencies and finance to supply‑chain, healthcare and IP—while also offering investment insights and future outlooks.

consensus mechanismscryptocurrencydistributed ledger
0 likes · 44 min read
Understanding Blockchain: Fundamentals, Core Technologies, and Real‑World Applications
MaGe Linux Operations
MaGe Linux Operations
May 17, 2017 · Big Data

How Big Data Turns Raw Information into Resource Optimization

The article explains that the ultimate value of big data lies in optimizing resource allocation by first crowdsourcing massive data, then fully mining it to uncover truth, and finally using those insights across industries such as transportation, advertising, finance, and more.

Resource Optimizationbig datacrowdsourcing
0 likes · 7 min read
How Big Data Turns Raw Information into Resource Optimization