English
中文
This event will be conducted in Chinese with live English subtitles.
本次活动将使用中文进行，并配有实时英文字幕。
As AI accelerates from pilot projects to everyday decision-making, work is reaching a tipping point. For business leaders, the core question is no longer whether to adopt AI, but how to redefine human value while advancing human-machine collaboration.
Organizational structures, job boundaries, and talent standards are all shifting. Stable, function-based structures are giving way to fluid organizations built around tasks and projects. Evaluation systems centered on experience and seniority are being recalibrated around learning ability, judgment, and creativity. Organizations that can combine human judgment, creativity, and AI efficiency will hold the edge in the next round of competition.
On October 30, AmCham China Tianjin will host the 2026 Business Forum under the theme "Sustaining Human Advantage in the Era of Human-AI Collaboration." Bringing together insights from leading institutions and practical experience from benchmark companies, the forum will offer actionable ideas and tools for business leaders and HR professionals.
Target Audience:
Corporate executives, HR leaders, Organizational Development directors, change project leaders, and relevant business decision-makers.
We cordially invite you to join us and explore the human-centered path in the AI era.
Sponsorship Opportunities
- Gold Sponsor: RMB 25000
- Silver Sponsor: RMB 16000
- Community Sponsor: RMB 6000
For more information, please contact Linda Cheng at (8622) 2318-5075/ lcheng@amchamchina.org
Agenda
1
30PM
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2
00PM
2
00PM
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2
05PM
2
05PM
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3
15PM
3
15PM
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3
30PM
3
30PM
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4
15PM
4
15PM
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4
40PM
4
40PM
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5
00PM
Speakers
Sylvia Ren
Head of Talent Management and Organization Development at CanSino Biologics Inc.
More Information
Qin Qin
Partner, Human Capital Advisory Services at Deloitte China
Qin Qin is a Partner with Deloitte Consulting Human Capital Advisory Services. She has nearly 20 years of HR consulting experiences, and has been with Deloitte for 10+ years. Qin Qin has rich experiences in areas such as organization transformation, job design, total compensation and performance, talent management, global HR management and governance, expatriates and global mobility management, digital HR planning and AI applications in HR area.
Key areas Qin Qin has been working on:
AI applications such as AI SSC, AI Coach etc.
Digital HR planning, HR processes, data applications
Organization transformation, org design, Job system
Total rewards, performance management, incentive plan
Leadership development, competency model
Global HR governance and planning
Global Mobility, Expatriates and local hires’ compensation and benefits policies
HRDD in M&A etc.
Her client portfolios cover various industries including Banking & Financial Services, High Technology, Consumer Goods & Retailing etc.
She holds dual master’s degrees from Fudan University and the National University of Singapore.
Tianchen Xu
Senior Economist at Economist Intelligence Unit
Tianchen Xu is a Senior Economist at the Economist Intelligence Unit (EIU), covering China's macroeconomy, foreign trade, industrial policy and Chinese companies' global investment. Before joining EIU, he was a macroeconomic researcher at JD.com and held research and analytical roles at the United Nations (UN), Bloomberg and the World Intellectual Property Organization (WIPO).
Linda Liu
Director of Human Resource at NXP Semiconductors (Tianjin)
Ms. Linda Liu is the Country HR Leader of NXP Semiconductor, one of world's top 10 semiconductor companies and the largest automotive electronics and solution provider in the world, in charge of human resource management of NXP China's manufacturing center, test center, R&D center and shared service center, covering nearly 5,000 employees.
Linda has more than 20 years’ management experiences in leadership positions of Fortune 500 companies, including human resource management, Greater China government public relations, customer service, product marketing, etc..
Linda holds a bachelor's degree of Nankai University and a master's degree in International Business Administration of Peking University. Human Resource Management training graduation from Cornell University and the Executive Training Program graduation from Yale University.
Sylvia Ren
Head of Talent Management and Organization Development at CanSino Biologics Inc.
Nil Larom
Founder of Insaight
AI Adoption Specialist
EMBA & AI Specialization, Northwestern Uni. (Kellogg)
Electrical Engineering & Finance, McGill University
“AI adoption isn’t just about learning technology; it’s about transforming mindsets. I specialize in bridging the gap between cutting-edge AI tools and practical, day-to-day business workflows.”
AI Training Specializations
• Navigating the AI Adoption Journey
• Generative AI Applications in the Workplace
• Tailoring AI Training to Team-Specific Workflows
• Compliance and Ethical AI in Decision-Making
“Our editorial teams reduced content creation time by 30% using GenAI, enabling them to focus on strategic priorities.” La French Tech (a French government sponsored agency)
Trusted by leading global organizations for AI adoption and strategic integration training
IBM, Morgan Stanley, Microsoft, LG, Baidu, FENG, British Embassy Beijing, European Chamber
About Nil
Nil Larom specializes in guiding organizations through the process of AI and Generative AI adoption, focusing on training programs that empower individuals and teams to embrace technology effectively. With over 18 years of experience across Fortune 500 companies, SMEs, and startups, Nil has delivered impactful workshops globally, helping teams understand AI’s role, apply it to their workflows, and achieve measurable outcomes.
His programs demystify AI, clarify its value, and enable teams to confidently navigate their personal and organizational adoption journeys. Nil has designed tailored playbooks for marketing, HR, finance, and operations teams, ensuring seamless integration and meaningful results.
Highlights
• Developed Generative AI adoption playbooks for marketing, HR, finance, and operations teams.
• Delivered comprehensive workshops globally on AI frameworks, best practices, and ethical considerations.
• Designed tailored AI adoption strategies at IBM and LG Electronics, reducing onboarding timelines and improving cross-department collaboration.
Stay tuned for more speakers!
