Global AVMs & AI: risks and rewards webinar
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Free
Overview
Automated valuation models, machine learning algorithms and AI-driven data platforms are increasingly shaping how residential and commercial assets are assessed.
For valuation professionals, this presents both opportunity and uncertainty. Greater efficiency, broader data access and predictive insight sit alongside questions around transparency, bias, professional liability and regulatory compliance.
This webinar will explore how automated valuation technologies are evolving, where they are adding measurable value, and where caution is required. It will ground the discussion in the RICS professional standard on AI and practical application, helping valuers understand how to engage with AI responsibly and strategically rather than reactively.
Learning Outcomes
Explain how automated valuation models and AI systems work at a practical level.
Identify the key benefits of AI-driven valuation, including efficiency, scalability and data enhancement.
Recognise material risks, including model bias, data quality limitations, opacity of algorithms and professional indemnity exposure.
Speaker
Dr. Leo Qizhou Xiong
Associate Fellow, Sáid Business School, University of Oxford
Qizhou Xiong is an AI expert, real estate economist, and data scientist with over 12 years of experience spanning academia and the real estate industry. He leverages advanced methodologies in Automated Valuation Models (AVM), PropTech, Machine Learning and AI to transform complex data into actionable insights. As the founder of URBAN NEURON Ltd, an innovative real estate research firm, Qizhou is dedicated to empowering industry professionals by providing cutting-edge knowledge and automation tools. His firm delivers data-driven insights and streamlined solutions that allow practitioners to navigate the complexities of the modern real estate market with confidence and precision.
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