Charlie   Dai

Charlie Dai

Principal Analyst Serving Enterprise Architecture Professionals

Charlie serves enterprise architecture professionals and offers strategic advice and guidance to Forrester clients in broad areas, including cloud (e.g., IaaS, PaaS, containers, and hybrid cloud management), big data (e.g., predictive analytics, machine learning, and data management), IoT (e.g., protocols, IoT device OS, IoT software platforms), blockchain, business process management, DevOps, and open source software. He has rich experience in technology strategy, enterprise architecture, and software delivery management, particularly in the China market.

Charlie is also a key contributor to the consulting team that helps Forrester's clients address their business requirements and accelerate digital transformation. Charlie has extensive experience in program management, rich industry expertise, as well as a passion for helping customers achieve success.

Previous Work Experience

Charlie has over 15 years of experience in the software industry, with PMP and ITIL certification. Before Forrester, Charlie was the senior manager, professional services, for Cordys (acquired by OpenText), a global vendor of BPMS and platform-as-a-service (PaaS) solutions for the telecom, banking, manufacturing, retail, and utility industries. Prior to Cordys, Charlie was the project manager for Datang Telecom, providing software solutions for Chinese telco clients and enterprise customers in Asia Pacific and the US.

Education

Charlie graduated with a master's degree in pattern recognition and intelligent systems from Tsinghua University of China.

Charlie Dai

Principal Analyst Serving Enterprise Architecture Professionals

Charlie serves enterprise architecture professionals and offers strategic advice and guidance to Forrester clients in broad areas, including cloud (e.g., IaaS, PaaS, containers, and hybrid cloud management), big data (e.g., predictive analytics, machine learning, and data management), IoT (e.g., protocols, IoT device OS, IoT software platforms), blockchain, business process management, DevOps, and open source software. He has rich experience in technology strategy, enterprise architecture, and software delivery management, particularly in the China market.

Charlie is also a key contributor to the consulting team that helps Forrester's clients address their business requirements and accelerate digital transformation. Charlie has extensive experience in program management, rich industry expertise, as well as a passion for helping customers achieve success.

Previous Work Experience

Charlie has over 15 years of experience in the software industry, with PMP and ITIL certification. Before Forrester, Charlie was the senior manager, professional services, for Cordys (acquired by OpenText), a global vendor of BPMS and platform-as-a-service (PaaS) solutions for the telecom, banking, manufacturing, retail, and utility industries. Prior to Cordys, Charlie was the project manager for Datang Telecom, providing software solutions for Chinese telco clients and enterprise customers in Asia Pacific and the US.

Education

Charlie graduated with a master's degree in pattern recognition and intelligent systems from Tsinghua University of China.

Charlie Dai's Research

Most RecentMost Popular
  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Predictive Analytics And Machine Learning Solutions In China, Q3 2018

    Forrester's Overview Of 22 PAML Providers In China

    July 17, 2018Charlie Dai

    You can use predictive analytics and machine learning (PAML) solutions to build predictive models and generate insights. But to access these benefits, you'll first have to select from a diverse set of vendors — vendors that vary by size, functionality, geography, and vertical market focus. Enterprise architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from a PAML solution provider and select vendors based on size and functionality.

  • For CIO Professionals

    REPORT: The Forrester Wave™: Full-Stack Public Cloud Development Platforms In China, Q3 2018

    The 12 Providers That Matter Most And How They Stack Up

    July 11, 2018Charlie Dai, Danny Mu

    In our 33-criteria evaluation of full-stack public cloud development platform (PCDP) providers in China, we identified the 12 most significant ones — Alibaba Cloud, Amazon Web Services (AWS), Baidu Cloud, Huawei, JD Cloud, Kingsoft Cloud, Microsoft, NetEase, Ping An Technology, QingCloud, Tencent, and UCloud — and researched, analyzed, and scored them. This report shows how each provider measures up and helps CIOs in China make the right choice.

  • For Enterprise Architecture Professionals

    REPORT: Now Tech: Enterprise Container Platforms, Q2 2018

    Forrester's Overview Of 25 Enterprise Container Platform Providers

    June 25, 2018Charlie Dai, Dave Bartoletti

    You can use enterprise container platforms (ECPs) to speed, simplify, and automate container development and deployment. But to access these benefits, you'll first have to select from a diverse set of vendors that vary by size, geography, and vertical market focus. Enterprise architecture (EA) professionals should use Forrester's Now Tech report to understand the value they can expect from an enterprise platform container provider and select vendors based on size and functionality.

  • For CIO Professionals

    REPORT: Now Tech: Public Cloud Development Platforms In China, Q2 2018

    Forrester's Overview Of 24 Public Cloud Development Platform Providers In China

    April 23, 2018Charlie Dai

    CIOs in China can use public cloud development platforms to deliver value to customers faster, drive digital innovation with less capital investment, and improve their elasticity and agility for digital transformation. But to access these benefits, they must choose from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. This report helps CIOs understand the value they can expect from a public cloud development platform provider and select vendors based on size and functionality.

  • For Enterprise Architecture Professionals

    REPORT: New Tech: Computer Vision Software For AI In China, Q1 2018

    Forrester's Overview Of The Landscape Of Providers Of Computer Vision Software For Artificial Intelligence In China

    January 29, 2018Charlie Dai

    Computer vision software is a key technology domain of artificial intelligence (AI), augmenting machines with visual capabilities such as facial recognition, character recognition, object recognition, and video analysis. But to access these benefits, enterprise architecture (EA) pros must first select from a diverse set of vendors with varying market presence, coverage, and strength of talent. Use Forrester's New Tech report to understand the value you can expect from a computer vision software provider and select vendors based on viability.

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