This announcement describes the rise of AI‑driven intelligent customer service, highlights 58.com’s long‑standing system, and introduces a competition that provides real‑world data for participants to develop advanced text‑matching and classification models using state‑of‑the‑art NLP techniques.
This article examines six core data‑science concepts—Big Data, Machine Learning, Data Mining, Deep Learning, Artificial Intelligence, and Data Science itself—explaining their definitions, interrelationships, and how they fit together as pieces of a larger analytical puzzle.
This article compares federated learning and blockchain, explains their shared trust foundation, outlines their distinct applications, and describes two integration patterns that combine privacy‑preserving AI with immutable decentralized ledgers to create new value in the digital economy.
SuNing’s AI R&D Center and Logistics Institute created a digital twin platform that maps physical warehouse systems to virtual models, automatically generates simulation scenarios, optimizes strategies, and feeds results back to improve overall storage operations, achieving over 15% efficiency gains.
The article examines the rapid growth of live‑streaming e‑commerce, explains the trust‑based dynamics of influencers, outlines standard recommendation‑system metrics such as accuracy, recall, diversity and explainability, and argues that these models fall short of long‑term user utility because they are driven by short‑term commercial goals, highlighting economic and neuroscientific perspectives on preference randomness.
The article explains what a data middle platform is, why it differs from a traditional big‑data platform, the efficiency, collaboration and talent challenges it addresses, its definition as a data‑driven innovation layer built on big data, cloud and AI, and outlines its logical architecture centered on data APIs.
The article surveys the rapid growth of AI, presenting adoption statistics, a Forrester‑predicted market surge, a ranked list of the ten most popular AI technologies with vendor examples, and the key obstacles enterprises face when implementing AI solutions.
In the fourth Alibaba Digital Media Technology Night Talk, algorithm engineer Liu Xiaolong presents an overview of video‑based temporal event detection, covering its problem background, representative prior works, and the latest research advances within the MEDIA AI Algorithm Challenge series.
The four‑day online 2020 Beijing Zhiyuan AI Conference (June 21‑24) convened five Turing Award laureates, over 100 AI experts, and 19 specialized forums to explore causal inference, deep learning, ethics, healthcare, transportation, entrepreneurship, and a broad range of technical topics, with plenary discussions on cause‑effect science, industry trends, and AI safety.
The article reviews a Tencent Cloud closed‑door forum where industry experts dissect the banking sector’s digital transformation, outlining enterprise‑architecture‑driven strategies, key enabling technologies such as cloud, AI, big data and blockchain, and practical insights from Q&A sessions and ThoughtWorks’ models.
From the agricultural revolution to the industrial age and now the AI era, this essay traces how societal needs drive technological breakthroughs, examines the stages of technology maturation—generalization, cost reduction, and safety—and explains how computing power, data, and cloud infrastructure enable the intelligent, scalable systems of today.
The article outlines the three-stage career progression for algorithm engineers—junior, intermediate, and senior—detailing the skills, responsibilities, and mindset needed at each level to become indispensable and advance beyond the age‑related career plateau.
JD announced that two of its research papers—one on a hierarchical reinforcement‑learning framework for multi‑objective recommendation (MaHRL) and another on an attention‑based model for delayed‑feedback conversion‑rate prediction (pCVR)—were accepted as full papers at the prestigious IJCAI2020 and SIGIR2020 conferences, highlighting the company's strong AI capabilities.
When you browse video apps by tags, receive personalized recommendations, or search with keywords, the seamless experience is powered by Natural Language Processing, which analyzes and interprets textual data to connect users with relevant content, and the article invites you to scan a QR code for further exploration.
A comprehensive survey by Suning Retail Technology Institute and the Asia‑Pacific Smart Retail Industry Alliance reveals how twenty retail technology firms faced COVID‑19 disruptions, optimized operations, accelerated digital transformation, and identified emerging growth points in AI, big data, and omnichannel retail.
The article explains China’s “new infrastructure” concept—originating from the 2018 Central Economic Work Conference, covering seven technology‑driven sectors such as 5G, AI and data centers—while contrasting it with traditional “iron‑public‑foundation” projects and highlighting its role as a growth engine for high‑quality economic transformation.
This article explains how cloud computing, big data, and artificial intelligence are tightly linked, tracing the evolution from physical servers to virtualization, describing the flexibility of IaaS, the automation of PaaS, the services of SaaS, and showing how containers and big‑data pipelines enable modern AI workloads.
This guide walks designers through the essential stages of creating voice user interfaces—exploring environmental constraints, defining interaction devices, mapping user scenarios, handling technical limitations, and applying design rules for triggers, feedback, and conversational flows—to build trustworthy and engaging VUI experiences.
This article examines the rise of federated learning as a solution to data islands, detailing regulatory pressures, technical foundations, industry implementations by WeBank, Tencent and VMware, and practical product workflows that enable secure, cross‑cloud AI collaboration.
This article explains the rapid rise of federated learning, its technical foundations combining machine learning, distributed computing, and privacy protection, practical use cases, intuitive privacy examples, and empirical evidence that it can improve model performance without compromising data security.
The article explains how data products create business value through application, data, and algorithm layers, using examples like 5G infrared temperature screening and ImageNet, and discusses the roles of experimental design, causal inference, and reinforcement learning in building effective AI‑driven strategies.
Alibaba migrated all core e‑commerce systems to the cloud for Double 11, using a phased, cloud‑native approach to overcome legacy challenges, while deploying AI that handled 140 billion operations to personalize the shopping experience, and now plans to integrate 5G, AR and further AI‑driven retail innovations.
Gaode leverages high‑resolution satellite imagery as an active discovery tool for map updates, extracting road, region and building elements through advanced semantic segmentation networks (U‑Net, ASPP, attention, non‑local) and instance‑segmentation pipelines, to accelerate accurate road‑network and building‑block data refreshes while addressing future scalability challenges.
The article examines why Tesla’s AI team combines Python for rapid prototyping with C++ for high‑performance inference, discussing the trade‑offs between ease of use and latency, the role of frameworks like TensorFlow and PyTorch, and the broader debate over language choice in modern AI development.
This article explains the rapid rise of artificial intelligence, outlines China's national AI development plan, compares human and machine intelligence, discusses current AI applications, future job impacts, and the infrastructure that will power the next industrial revolution.
This article explains how biological neurons inspire artificial neural networks, describing neuron concepts, threshold firing, weighted inputs, bias, activation functions such as the step and sigmoid functions, and shows how these ideas are expressed mathematically and visualized with diagrams.
The article shares notes from the AICon global AI and machine learning conference, outlining AI’s three core elements—computing power, big data, and algorithms—its problem domains, current applications across industries, and future directions such as AI‑IoT‑5G integration.
Microsoft appointed its first Chinese Global Technical Fellow, Huang Xuedong, as the company’s Global AI CTO, overseeing Azure’s speech, translation, vision, and language services, while highlighting his groundbreaking achievements such as achieving human‑level word error rates and leading AI research teams.
The 2019 CCF Big Data & Computing Intelligence Contest’s Video Copyright Detection track, judged by iQIYI, saw 705 teams from 25 countries compete, with Hengyang Data’s VGG‑16‑based solution winning, followed by Boyun Vision, Xiao Jia’s Lao Liang, Hulu Brothers and Beihang University, showcasing diverse deep‑learning and unsupervised approaches for robust video copyright detection.
Voice conversion (VC) technology changes a speaker’s timbre and style while keeping the spoken text unchanged, supporting one‑to‑one, many‑to‑one, and many‑to‑many scenarios for medical assistance and entertainment, using parallel or non‑parallel data through methods such as DTW‑aligned frame mapping, attention‑based neural networks, PPG‑LSTM pipelines, VAEs, normalizing‑flow models, and GANs, with iQIYI focusing on non‑parallel data, prosody preservation, and noise‑robust augmentation.
In a fiercely competitive internet era, technical professionals must continuously learn across fields such as information security, Python, cloud computing, big data, AI, software testing, IoT, and internet marketing to become the highly sought‑after talent that companies urgently need.
Zhang Yaqin, a distinguished AI pioneer and former Baidu and Microsoft executive, has joined Tsinghua University as an Intelligent Science Chair Professor, where he will lead research on autonomous driving, AI‑IoT integration, and the establishment of the university’s Intelligent Industry Research Institute.
The article reports on Beike Zhaofang's knowledge‑graph technology conference, detailing how relationship graphs are applied to risk control, the four‑layer graph architecture, the use of Spark GraphX, JanusGraph and DGraph, and broader industry‑graph applications in real‑estate AI solutions.
The 2019 Enterprise IT Operations Whitepaper, released at the national Operations Conference, systematically examines the definition, value, key capabilities, industry applications, challenges, and future trends of IT operations across telecom, finance, Internet, and manufacturing sectors.
This article provides a detailed overview of cloud computing, covering its origins from early virtualization concepts, the evolution of the term in 2006, fundamental characteristics, key enabling technologies such as virtualization, distributed systems, SDN/NFV, cloud‑native stacks, security, AI and big‑data integration, as well as its diverse applications, major market players, and future growth prospects.
The article explains the structural differences between CPUs and GPUs, their respective design goals, and why GPUs excel at parallel image and AI workloads, while also noting a New Year promotional bundle of technical e‑books priced at 168 yuan.
This article reviews the principles, techniques, and challenges of automatically building knowledge graphs, covering logical modeling, latent‑space analysis, human‑computer interaction, ontology support, and practical pipelines, and illustrates their use in network behavior analysis, intelligent Q&A, and recommendation systems.
The three‑day Flink Forward Asia 2019 conference in Beijing attracted over 2,000 attendees, showcased more than 45 talks from leading companies and researchers, and highlighted the evolution of Flink toward a unified engine, Stateful Functions, AI integration, cloud‑native deployment, and real‑time analytics at massive scale.
An in‑depth look at how AI experts are jumping between tech giants, with Alibaba emerging as the biggest winner, Baidu losing talent, and Microsoft serving as a major talent pipeline, illustrating the fierce competition for AI brilliance across the industry.
The article examines how Tencent reshaped its identity over a thousand‑day “technology upgrade” by redefining its mission, recruiting top scientists, launching AI and quantum labs, confronting internal silos, and instituting open‑source and middle‑platform strategies to become a true technology company.
This presentation reviews recent progress in spoken and multimodal dialogue systems, covering X‑driven architectures, task‑oriented and open‑domain approaches, NLU/DM integration, FAQ, KB/KG‑driven methods, document‑driven dialogue, and outlines remaining challenges and future research directions.
JD.com's 2019 JDDiscovery conference revealed a comprehensive, cloud‑native technology landscape that spans AI, big data, IoT, and blockchain, detailing how the company has transformed its integrated retail, logistics, and finance systems into modular, open‑service solutions for external partners.
Zhejiang Mobile’s IT department chronicles its journey from a 2015 cloud‑native initiative to a cutting‑edge AIOps transformation, detailing a six‑level NoOps roadmap, digital fault‑governance, middle‑platform consolidation, organizational agility, and measurable operational gains that position it as a telecom industry leader.
This article examines the evolution of machine intelligence, the role of general‑purpose technologies, the shift from data‑driven to intelligent‑driven security, the core paradigm of autonomous systems, and proposes a six‑level maturity model (L0‑L5) for truly intelligent cybersecurity solutions.
Gartner outlines ten strategic technology trends for 2020—including hyperautomation, multiexperience, democratization, human augmentation, transparency, empowered edge, distributed cloud, autonomous things, practical blockchain, and AI security—explaining their disruptive potential, how they interrelate, and what implications they hold for enterprises over the next five to ten years.
The article examines the fundamental nature of machine intelligence, its historical development, the shift from data‑driven to intelligence‑driven approaches, and why current AI techniques still fall short in cybersecurity, proposing a four‑component paradigm and a six‑level maturity model for truly intelligent security systems.
The Cloud Xi conference showcased Alibaba’s breakthrough HanGuang 800 AI chip, delivering performance four times higher than top AI chips, cutting GPU usage by up to 90% in city‑brain video processing and product image recognition, while the Damo Academy celebrated two years of world‑leading research and youth awards.
Physicist‑turned‑Kaggle Grandmaster Bojan Tunguz shares his journey from academia to industry, the challenges of becoming a data‑science competitor, his workflow, favorite tools, and practical advice for newcomers seeking to excel in machine‑learning competitions.
This article provides a comprehensive overview of FPGA technology, covering its definition, historical development, major manufacturers, internal architecture, development workflow, challenges, and typical application scenarios such as data centers, telecommunications, and AI acceleration.
This article excerpt explains the structure and training of feed‑forward neural networks, illustrates their use in neural language models, describes deep structured semantic models for ranking tasks, and details two‑stage recommendation systems such as YouTube, covering both theoretical formulas and practical deployment considerations.
The article explains why Google created Swift for TensorFlow, highlights Swift's strong backing, built‑in automatic differentiation, high performance comparable to C, seamless interoperability with Python, C and C++, low‑level hardware access, and its future role within the MLIR compiler ecosystem for deep learning.
From Steve Jobs’s early work at Atari to modern DeepMind breakthroughs, the article traces how video games have grown into a multibillion‑dollar industry that serves as a testbed for AI research, while highlighting current AI techniques for smarter agents, procedural content generation, and the collaborative challenges shaping the future of game development.
On August 6, Dr. Feng Ao presented a comprehensive overview of the evolution of word representations and sentiment analysis, illustrating the shift from traditional linguistic features to modern pretrained models such as BERT and XLNet, and sharing practical convolutional experiments relevant to industry applications.
Fei‑Fei Li, co‑director of Stanford’s new Human‑Centric AI Institute, discusses how AI’s intelligence and values must be taught by humans, the importance of democratizing AI, addressing gender and bias in tech, and her vision for AI’s role in healthcare, education, and societal good.
This article provides an overview of Python, covering its origin, historical releases, key features, major application domains such as web development, AI and data analysis, various interpreters, and development guidelines like PEP 8.
The 2019 World AI Conference Tencent Forum, themed “Technology with Virtue, Choosing Goodness,” gathered leading experts—including Tencent executives, Intel’s IoT director, and renowned researchers—to deliver five keynote speeches and a roundtable on AI for Good, showcasing applications in computer vision, cloud, robotics, IoT, and natural language processing.
The article outlines AI’s three historical waves—search and reasoning, expert systems, and machine‑learning/deep‑learning—detailing their core technologies, achievements, and limitations, while emphasizing how past cycles inform today’s narrow AI advances and the renewed relevance of computing power and data‑driven methods.
This article explains how an intelligent algorithm identifies the exact start and end points of vehicle loading and unloading actions using specialized acceleration features, improving platform utilization, dispatch accuracy, and overall logistics performance while achieving over 95% detection accuracy.
In this reflective essay, Alibaba researcher Wu Hanqing critiques misinformation about himself, outlines the evolution of productivity from physical labor to intelligence, distinguishes information systems from intelligent systems, and argues that true AI value lies in automating actions and fostering machine‑to‑machine collaboration across enterprises.
This article explains how sequence embedding can be applied to user browsing data on an automotive website to predict intended car models, addressing data sparsity and leveraging temporal information to improve prediction accuracy by 3%.
Alibaba's AI model topped the MS MARCO reading comprehension challenge, achieving the highest scores in document ranking and open‑domain question answering, even surpassing human performance, thanks to its deep‑cascade BERT‑based architecture that mimics human reading and is already deployed in e‑commerce applications.
The article defines knowledge as feature representations that solve problems, outlines the three components of intelligent systems, highlights AI’s historic significance, predicts its development trends, and presents a systematic innovation framework emphasizing data, policy, and market-driven approaches.
Suning’s senior tech leader explains how the company leveraged AI, big data, cloud computing and IoT to drive a digital‑first retail ecosystem, illustrating the broader shift toward intelligent, data‑driven retail operations in a rapidly changing market.
This article presents a model‑based reinforcement learning framework for recommendation systems that uses a generative adversarial user model to simultaneously learn user behavior dynamics and reward functions, enabling efficient Cascading‑DQN policy learning and achieving superior long‑term user rewards and click‑through rates in experiments.
At iQIYI’s 2019 World Conference, senior executives and academic experts debated how 5G’s low‑latency, high‑bandwidth capabilities will boost 4K/8K video, AR, and AI‑driven services, while AI already powers recommendation, quality up‑scaling and VR, though deployment challenges and cost‑benefit expectations must be managed for a seamless physical‑virtual future.
The talk explains how massive, well‑annotated data fuels autonomous‑driving AI, covering data annotation metrics, team structure, efficiency‑boosting techniques, system stability, and how data‑driven development and decision‑making improve model training, evaluation, and product priorities.
This article surveys the evolution of machine translation from early rule‑based systems to modern neural architectures, explains how translation engines are trained, highlights recent advances such as attention and Transformers, and shares practical experience and current challenges in the field.
This article explains the various roles of data scientists, compares data science with machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics, and clarifies the distinctions and overlaps among these fields.
This article explains the historical development, definitions, and relationship between artificial intelligence and machine learning, highlighting key milestones, foundational concepts such as deep learning and neural networks, and their modern applications across industries.
In a recent World Intelligence Summit address, Zhou Hongyi warned that AI systems lacking humanistic thinking can become tragic, raised ethical questions about control of unmanned systems and facial‑recognition flaws, and urged pre‑launch security testing by hacker firms while announcing a new cybersecurity hub in Tianjin.
This article walks beginners through the fundamentals of artificial intelligence, machine learning, and deep learning, using a real‑world attendance dataset to illustrate how to label data, construct a simple linear model, and expand it into a neural network for workday prediction.
In a QCon 2019 talk, Ant Financial’s deputy CTO Hu Xi outlines the company’s fifteen‑year journey reshaping payments and micro‑loans through blockchain, AI, security, IoT and cloud computing, and details the emerging cloud‑native, high‑availability, data‑intelligent architecture that will underpin the next generation of financial technology.
The article reviews Ant Financial’s fifteen‑year journey reshaping payments and micro‑loans through blockchain, AI, security, IoT and cloud computing, explains how distributed middleware, OceanBase, service‑mesh‑based cloud‑native infrastructure and open intelligent computing architectures enable high‑availability, scalable financial services, and introduces the BASIC College talent program.
SQLFlow, an open‑source project from Ant Financial, bridges SQL engines and AI frameworks so that users can train and predict machine‑learning models with simple SQL statements, dramatically lowering the technical barrier for analysts and engineers across diverse data platforms.
The article analyzes the evolution of technology architecture, explains the origin and purpose of the mid‑platform concept from Alibaba and JD, outlines future software trends such as AI‑driven logic, IoT UI, blockchain data, and quantum infrastructure, and proposes a layered application model for the emerging industry internet.
Chief Scientist Tang Jian explains how Didi leverages next‑generation AI—big‑data, hybrid‑augmented, autonomous, and collective intelligence—to transform smart mobility through advanced dispatch, safety systems, in‑car perception, traffic‑signal optimization, and global collaborations, while confronting challenges of model scale, computing power, and safety assurance.
Didi’s vice‑president and chief scientist of smart transportation, Professor Henry Liu, delivered the “Big Data‑Driven Smart Transportation” lecture—part of the AI Industry Applications course—on China University MOOC, teaching students fundamental concepts, real‑world cases, and future prospects of big‑data and AI in traffic management.
In an interview, JD data platform leader Li Wei discusses how dynamic balance between business demands and technical improvement, knowledge computing, and AI-driven product quality control can drive innovation, enhance user experience, and shape future R&D management strategies.
An in‑depth look at Baidu’s leadership turmoil, from Zhang Yaqin’s imminent retirement and the revolving door of senior executives to the costly recruitment of AI stars like Andrew Ng, revealing how strategic missteps, internal power struggles, and a bold cloud‑AI push shaped the company’s fortunes.
In a detailed interview, Alibaba Cloud’s new president discusses the future of cloud computing, emphasizing the shift from price competition to core value, the importance of hybrid cloud, data processing platforms, open‑source challenges, AI integration, ecosystem strategy, and the evolving role of the cloud as a platform and integrated service.
This article analyzes China's massive enterprise ecosystem, the composition of its IT market, the human and political factors shaping demand, and how cloud computing, big data, and artificial intelligence are driving a new wave of digital transformation across state‑owned, internet, and other enterprises.
This article introduces the fundamental architecture of Graph Neural Networks, traces their evolution from early 2005 concepts through spatial and spectral models, explains why GNNs are gaining attention, and poses key questions about graph spectrum, Fourier transforms, and spectral‑domain graph convolutions.
This article explains how Long Short‑Term Memory (LSTM) networks overcome the long‑term dependency problem of traditional recurrent neural networks by using gated cells that store and retrieve information over extended periods, and highlights their widespread applications in speech recognition, machine translation, image captioning, and beyond.
The article examines how cloud computing, AI, and IoT are reshaping high‑end hotel operations—from digitizing guest journeys and automating front‑desk tasks to leveraging big‑data insights and language translation—while highlighting a strategic partnership with Tencent to accelerate smart‑hotel deployments.
The article reviews China's AI progress and lingering gaps, highlights data‑security regulations and deployment bottlenecks caused by siloed “small data,” champions transfer learning as a solution for limited data, dispels AI‑cold‑war and job‑loss myths, and forecasts continued growth through secure, collaborative, and efficient AI deployment.
Intel has reportedly offered $5.5 billion to acquire Mellanox Technologies, a leading provider of high‑performance networking hardware, sparking interest from multiple tech giants and analysts who see the deal as a potential boost for data‑center AI, big‑data analytics, and HPC capabilities.
At AAAI 2019 in Hawaii, JD AI Research Institute had eight papers accepted covering machine learning, natural language processing, computer vision, and multimodal AI, highlighting innovations such as AutoZOOM black‑box attacks, SACN for knowledge base completion, and temporally aware video captioning models.
The article traces AI’s origins from the 1956 Dartmouth conference, explains how deep learning has become the driving force behind modern AI applications, discusses the need for a mindset shift, lifelong learning, and strategic adaptation to stay relevant in the rapidly evolving intelligent era.
The article presents a comprehensive technical analysis of JD's Marketing 360 project, detailing the three industry pain points, the 4A consumer‑asset model, the 4E marketing methodology, and the underlying big‑data, AI‑driven architecture that enables real‑time analytics, multi‑modal model training, and performance optimizations.
This article explains how the U.S. military leverages artificial‑intelligence models for short‑term event forecasting, explores DARPA's Kairos system, and details emerging thermal‑imaging facial‑recognition technologies that boost battlefield awareness and rapid decision‑making.
Google's 2018 AI review highlights major advances across ethical AI principles, social‑impact projects, assistive technologies, quantum computing, natural‑language models like BERT, perception research, algorithms, TPU hardware, open‑source releases, robotics, healthcare applications, and plans for an even broader impact in 2019.
This article explores the rapid growth of the Internet of Things, its essential role in building smart cities, the boost provided by 5G networks, and showcases practical implementations in places like Singapore and Barcelona, while also discussing challenges and future directions.
This article outlines how to design and implement a large‑scale, AI‑driven operations platform—from defining goals with the 5W‑1H method, through data collection, storage, and processing, to building the three‑horse‑power components of monitoring, alerting, and CI/CD—targeted especially at small‑to‑mid‑size enterprises.
The article reviews the latest IoT and edge‑computing trends, outlines Tencent’s multi‑layer IoT platform, edge solutions, LoRa network deployment, and how AI‑driven data analysis will transform the fragmented IoT market into a smarter, more integrated ecosystem.
The article forecasts the major technology trends for 2019, highlighting the rise of artificial intelligence, the transition beyond smartphones to wearable interfaces, global 5G deployment, the surge of progressive web apps, expanding blockchain applications, low‑code development, cloud services growth, and the continued dominance of JavaScript and modern development practices.
This article traces the evolution of the Internet from a simple network to a brain‑like architecture, explores the rise of collective intelligence in nature and technology, and predicts how the convergence of human, machine, and cloud intelligence could create an unprecedented superintelligence in the coming years.
Wave Computing announced that the MIPS instruction set architecture and its latest R6 core will be released as open source in early 2019, sparking industry debate about the move’s impact on MIPS’s market position, licensing revenue, and competition with RISC‑V, especially in the AI and Chinese markets.
The article chronicles Jeff Dean and Sanjay Ghemawat’s partnership at Google, from the 2000 index failure that threatened the company, through their pioneering work on MapReduce and large‑scale infrastructure, to the creation of TensorFlow and the rise of Google AI, highlighting their unique collaborative style and lasting impact on modern computing.
The article surveys the nineteen leading AI technologies—from natural language generation and speech recognition to digital twins and marketing automation—detailing their core functions, common use cases such as customer service, security, content creation, and the key vendors delivering each solution.
The 7th China Small‑and‑Medium Bank Development Summit held in Guangzhou on November 29‑30 2018 gathered over 200 banking and fintech leaders to discuss the latest trends, challenges, and strategies in financial technology, digital transformation, risk control, and emerging technologies such as AI, big data, cloud and blockchain.
