OpenMind AI Workforce Transformation Forum 2026

Monica Wang

Guest Introduction

Global expansion advisor for multiple top corporations, with hundreds of millions of cross-lingual video views and weekly live streams covering global expansion, AI and entrepreneurship. Founder of AGI Villa (3,000+ AI entrepreneurs) and BridgingChina (200K followers). A former journalist who has visited 60 countries over 15 years, she is an in-depth observer and connector of tech globalisation. Serial entrepreneur, former CEO/CMO of unicorns in AI coding, youth education, Web3, local life services and social e-commerce; her startups have raised over 1.5 billion RMB from Sequoia China, Linear Capital, Junlian Capital, Innovation Works and other institutions. Mother of three, marathon runner.

Wang Qiyuan

Keynote Topic: AI-Driven Corporate Transformation: Organisational Restructuring, Practical Innovation & Transformation Insights

• How AI Agents reshape corporate organisations and future work models
• PwC’s real-world enterprise AI transformation practices
• Case studies of AI implementation within corporations
• Challenges and takeaways from AI-powered organisational transformation

Guest Introduction

Partner, Tax & Business Consulting, PwC China, with more than 17 years of tax and business consulting experience focusing on Chinese enterprises’ global expansion and multinationals’ operations in China. He has led cross-border tax, M&A restructuring and corporate strategy consulting projects for well-known organisations including Fosun, Alibaba, Xiaomi and Sequoia Capital. He brings profound hands-on experience in corporate digital transformation, cross-border investment and organisational restructuring in the AI era.

Hu Yingzhou

Keynote Topic: From Digital Employees to Physical Silicon Entities: Commercial Loops, Capital Logic & Global Breakthrough of Embodied Intelligence

• Industrial evolution of Physical Agents (embodied intelligence)
• Commercial deployment of embodied intelligence in manufacturing, logistics and high-risk scenarios
• How investment institutions evaluate embodied intelligence startups
• Standardisation strategies for global expansion and collaborative overseas market entry

Guest Introduction

Master’s degree from Shanghai University of Finance and Economics. He specialises in building industrial ecosystems for embodied intelligence, commercialisation and industrial investment & financing. He maintains deep connections with robot OEMs, core component suppliers and AI algorithm firms, having participated in over 50 commercial projects and capital matching initiatives. He created the “One-Page Due Diligence Model for Embodied Intelligence” and built the S&D Intelligent Matching Engine to empower the globalisation of Chinese embodied intelligence industrial chains.

Zhao Huanhuan

Keynote Topic: Embodied Intelligence & Blue-Collar Workforce: How AI Robots Reshape the Future of Labor

• Latest commercial deployment cases of humanoid robots in manufacturing, logistics and retail
• How AI robots move beyond virtual environments to take over repetitive, high-risk manual labor
• Impacts of embodied intelligence on industrial upgrading and labor market restructuring
• Strategies for enterprises to manage talent transition and organizational reform in the AI robotics era

Guest Introduction

Master of Artificial Intelligence, The University of Hong Kong. She has 16 years of cross-industry management experience across domestic and international markets, dedicated to designing AI robotics transformation pathways for traditional industry professionals. She consistently drives deep integration of AI, robotics technology and industrial applications, with extensive practical experience in AI talent development, industrial transformation and commercialization of embodied intelligence.

Meng Yan

Keynote Topic: Enterprise-Grade Application Scenarios & Deployment Cases Powered by Large Language Models

• Core capability matrix and underlying architecture of large language models
• Enterprise intelligent applications and efficiency-boosting use cases

Guest Introduction

Specialised in commercial deployment of AI technology. Former technical lecturer for iFLYTEK Open Platform, proficient in Spark large model and voice AI enterprise integration solutions. He has delivered AI project rollouts for top enterprises including Meitu, Didi and Inspur, covering digital transformation scenarios across government and private industries. He possesses end-to-end practical expertise spanning technical integration, solution design and business delivery. Focused on large model industrial commercialisation, he delivers lightweight, high-value AI implementation solutions tailored for physical enterprises.

Xing Yi

Keynote Topic: From Forecasting the Future to Verifying Decisions: How Ripple Builds a Closed Loop for Corporate Decision Simulation & Evidence Tracking

• Enterprises require verifiable, reviewable decision systems rather than purely responsive intelligent agents
• Ripple simulates diverse scenarios via multi-agent systems to predict plans, risks and failure boundaries; it links simulation with real-world execution, analyzes deviations and forms a traceable decision-making closed loop
• Pushing intelligent agents toward verifiability, authorisation, rollback functionality and continuous iterative learning

Guest Introduction

His research covers multi-agent simulation, complex adaptive systems and product design for corporate decision intelligence. He leads the overall architecture of Ripple, simulating interactions between market participants, organisations and social actors within virtual environments. He advances large models, multi-agent systems and reinforcement learning toward enterprise decision systems with defined evidence boundaries, real-world feedback loops and governance frameworks.

Yin Zijian

Guest Introduction

Partner and core algorithm expert at Shuhua Intelligent Computing. Former Algorithm Engineer at Baidu Intelligent Cloud and AI Product Manager at NetEase Fuxi Lab. National Champion of the 2026 Shenzhen Institute of Advanced Technology Winter Innovation Competition (1 out of 1,800 participants), incubated under Professor Li Zexiang’s innovation system. Algorithm consultant for Gansu Humanoid Robot Center. His expertise spans industrial intelligence and corporate digitalisation, combining algorithm R&D, AI product design and commercial delivery. He leads R&D for Shuhua Intelligent Computing’s large model data decision product line, focusing on low-cost, highly deployable AI data intelligence solutions for small and medium-sized enterprises and industrial digital transformation scenarios.

Chen Zhichao

Guest Introduction

He ranked 3rd nationwide in the 2025 ASEAN AI + Cross-border E-commerce Innovation Application Competition, and received the WaytoAGI Global Hackathon AI Explorer Award as well as the Outstanding AI Potential Award of Shanghai at the 2025 China International Import Expo. He is a certified AI Agent Practitioner, senior prompt engineer trained by Alibaba DAMO Academy, and Datawhale certified engineer. He also serves as a distinguished AI enterprise implementation trainer at the 5G Integrated Application & Talent Training Laboratory, expert member of Yitang.top Academy, and expert member of Hunt Brand Hangzhou Campus.