Artificial Intelligence and Automation Team

Ashish Nadkarni

Group Vice President and General Manager, Worldwide Infrastructure Research

Andrew Gens

Research Analyst, AI Software

Nina Turner

Research Director, Semiconductor Technology Supply Chain Intelligence; Enabling Technologies: AI and Automotive Semiconductors

Madhumitha Sathish

Research Manager, High Performance Computing

Heather West, PhD

Research Manager, Performance Intensive Computing, Worldwide Infrastructure Research

Ritu Jyoti

Group Vice President/General Manager, Worldwide Artificial Intelligence, Automation, Data and Analytics Research Practice

David Schubmehl

Research Vice President, Conversational Artificial Intelligence and Intelligent Knowledge Discovery

Hayley Sutherland

Research Manager, Conversational AI & Intelligent Knowledge Discovery

Maureen Fleming

Program VP, Worldwide Intelligent Process Automation Market Research and Advisory Service

Shari Lava

Senior Director, AI and Automation

Dr. Chris Marshall

Vice President, Data, Analytics, AI, Sustainability, and Industry Research

Jennifer Hamel

Senior Research Director, Enterprise Intelligence Services

Neil Ward-Dutton

VP Automation, AI & Analytics Europe

Jennifer Cooke

Senior Research Director, Cloud and Edge Services, Worldwide Infrastructure Research

Pietro Delai

Research Director, Latin America Enterprise Infrastructure and Cloud Services, Worldwide Infrastructure Research

Harish Dunakhe

Research Director, Software and Cloud, META IDC

Peter Rutten

Research Vice-President, Performance Intensive Computing, Worldwide Infrastructure Research

Yanxia Lu

Research Director

Nobuko Iisaka

Research Manager, Software & Services, Research, IDC Japan

Anne Cheng

Research Manager

Rakesh Patni

Associate Research Director

New Research


  • By: 

    • Chandana Gopal
    • Dan Vesset Loading
    • Dr. Chris Marshall Loading
    • Ritu Jyoti Loading
    • Jennifer Hamel Loading
    • Neil Ward-Dutton Loading
    • Amy Machado Loading
    • Carl W. Olofson Loading
    • John Rydning
    • Peter Rutten Loading
    • Tim Grieser
    • Danielle Ibran Loading
    • Jessie Danqing Cai
    • Anne Cheng Loading
    • Yanxia Lu Loading
    本調査レポートでは、Enterprise Intelligence(EI)に関して、IDCによるTop 10 Predictionsを紹介する。これらの予測には、意思決定、知識の収集、自動化、データ文化の各トピックが含まれる。「EIによって、あらゆるマクロ経済的条件下で企業が繁栄することが可能になる。本IDC FutureScapeの予測では、経営幹部がEIの強化に取り組むに当たって知っておくべき、今後1~5年間の重要なトレンドについて詳述する」と、IDC Future of...
  • By:  Hayley Sutherland Loading

    This IDC PeerScape presents some best practices gathered from interviews with two large organizations with multinational operations that are successfully leveraging machine translation (MT) across a number of language pairs and business are...
  • By: 

    • Carol Sliwa Loading
    • Jennifer Cooke Loading
    • Dave McCarthy Loading
    This IDC Perspective discusses how hyperconverged infrastructure systems that consolidate virtualization, compute, storage, and networking technologies into a single system, under common management, can offer significant advantages to enter...
  • By: 

    • Lily Phan
    • Dr. Chris Marshall Loading
    • Karthik Umachigi
    • Akshay Arun Gulhane
    This IDC MarketScape uses the IDC MarketScape model to provide an assessment of eight providers in the Asia/Pacific (excluding Japan) (APEJ) team collaboration and videoconferencing market. The IDC MarketScape is an evaluation based on a co...
  • By:  Anne Cheng Loading

    IDC 创新者是指年营业额低于1亿美元、有创新性技术或突破性商业模式的新兴厂商。本次IDC创新者研究对北京数据项素智能科技有限公司、来也科技(北京)有限公司、全面智能(厦门)科技有限公司进行了全面调研。“智能文档处理(IDP)技术能够更高效地将非结构化数据转换成结构化数据,帮助企业解决数据方面的挑战,目前已处于业务需求爆发的早期阶段,随着与应用和流程自动化的深度整合,潜在的应用场景将变得越来越普及,各个行业用户应当积极关注。技术供应商也应升级多模态、超大规模预训练模型、图神经...
  • By: 

    • Rick Villars Loading
    • Sandra Ng Loading
    • Simon Ellis Loading
    • Leif Eriksen
    • Serge Findling
    • Maureen Fleming Loading
    • Al Gillen
    • Chandana Gopal
    • Jeffrey Hojlo Loading
    • Mary Johnston Turner Loading
    • Ritu Jyoti Loading
    • Linus Lai Loading
    • Amy Loomis, Ph.D. Loading
    • Marci Maddox Loading
    • Tom Mainelli Loading
    • Thomas Meyer Loading
    • Rahiel Nasir Loading
    • Tony Olvet Loading
    • Robert Parker Loading
    • Andrea Siviero Loading
    • Gina Smith, PhD Loading
    • Elaina Stergiades Loading
    本IDC研究报告将介绍对IT行业未来五年的十大预测及其关键驱动因素。报告重点介绍了企业的业务、技术和IT团队在定义、构建和治理致胜数字优先时代所需的技术时面临的中长期挑战。IDC全球研究副总裁Rick Villars表示:"未来几年,领先的技术提供商必须发挥主导作用,帮助企业利用创新技术渡过当前的颠覆风暴。"
  • By:  David Schubmehl Loading

    This IDC Perspective examines the future of interactive voice response (IVR) given the growing interest in and adoption of conversational AI solutions for functions such as customer service, sales, and even help desk operations. The documen...
  • By: 

    • Rick Villars Loading
    • Sandra Ng Loading
    • Simon Ellis Loading
    • Leif Eriksen
    • Serge Findling
    • Maureen Fleming Loading
    • Al Gillen
    • Chandana Gopal
    • Jeffrey Hojlo Loading
    • Mary Johnston Turner Loading
    • Ritu Jyoti Loading
    • Linus Lai Loading
    • Amy Loomis, Ph.D. Loading
    • Marci Maddox Loading
    • Tom Mainelli Loading
    • Thomas Meyer Loading
    • Rahiel Nasir Loading
    • Tony Olvet Loading
    • Robert Parker Loading
    • Andrea Siviero Loading
    • Gina Smith, PhD Loading
    • Elaina Stergiades Loading
    本調査レポートは、今後5年間にIT産業で起こるであろう10項目の予測(Prediction)と主要な促進要因(ドライバー)をまとめたものである。デジタルファーストの世界で成功するために必要なテクノロジーを定義、構築、管理する中で、企業のIT部門が直面する中期的および長期的な課題を明らかにしている。「今後数年間、主要なテクノロジープロバイダーは、企業が革新的なテクノロジーを使って現在の破壊的変化の嵐に対処できるように、主導的な役割を果たす必要がある」と、IDC Worldwid...
  • By: 

    • Kathy Lange Loading
    • Raghunandhan Kuppuswamy Loading
    • David Schubmehl Loading
    This IDC study evaluates vendors that offer MLOps technologies and capabilities. As customers are moving more models from experimentation to production, they need scalable ways to collaborate, operate, and operationalize machine learning mo...
  • By: 

    • Hayley Sutherland Loading
    • David Schubmehl Loading
    This IDC study represents a vendor assessment of the machine translation (MT) software market through the IDC MarketScape model. This assessment discusses both quantitative and qualitative characteristics that provide guidance about machine...

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