Global Harnessing AI & Data in the Built Environment - 5 Part Web Class
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From £267 + VAT
Where Surveying Meets Innovation: Demystifying AI for the Built Environment
May / June 2026 Schedule
- 05 May 2026 | 13:30 - 15:00 (BST)
- 12 May 2026 | 13:30 - 15:00 (BST)
- 19 May 2026 | 13:30 - 15:00 (BST)
- 26 May 2026 | 13:30 - 15:00 (BST)
- 03 June 2026 | 13:30 - 15:00 (BST)
August / September 2026 Schedule
- 03 August 2026 | 09:30 - 11:00 (BST)
- 11 August 2026 | 09:30 - 11:00 (BST)
- 17 August 2026 | 09:30 - 11:00 (BST)
- 25 August 2026 | 09:30 - 11:00 (BST)
- 02 September 2026 | 09:30 - 11:00 (BST)
November / December 2026 Schedule
- 04 November 2026 | 13:30 - 15:00 (GMT)
- 11 November 2026 | 13:30 - 15:00 (GMT)
- 17 November 2026 | 13:30 - 15:00 (GMT)
- 25 November 2026 | 13:30 - 15:00 (GMT)
- 01 December 2026 | 13:30 - 15:00 (GMT)
Overview
Artificial Intelligence (AI) and data-driven technologies are transforming the built environment, reshaping how surveyors, valuers, and real estate professionals deliver services, assess risk, and drive innovation. Yet for many, understanding how to confidently and responsibly adopt these tools remains a challenge.
The Harnessing AI & Data in the Built Environment web class series has been developed by RICS to bridge this critical skills gap. Delivered across five expert-led sessions, this foundation-level course will demystify AI, introduce key data concepts, and offer practical strategies for applying emerging technologies across surveying and real estate disciplines.
Whether you are part of a large multi-disciplinary practice or a sole practitioner looking to future-proof your services, this training will help you navigate the rapidly evolving digital landscape with confidence and clarity.
Who is this course for?
This course is ideal for professionals across all sectors, including:
- Building Surveyors
- Quantity Surveyors
- Valuation Surveyors
- Commercial & residential property Surveyors
- Geospatial & land Surveyors
- Planning & development professionals
- Construction project managers
- Facilities managers
- Property developers & real estate investors
- Urban planners & smart city specialists
- Data analysts working in real estate & construction
- Architects & building designers integrating AI tools
- Geographic Information Systems (GIS) & geospatial professionals using AI for land mapping
- Digital transformation & PropTech specialists
- Engineering consultants focused on AI-driven asset management
What’s included:
- Five live, interactive sessions (90 minutes each, including Q&A)
- Practical examples and case studies across valuation, land, property and construction
- Access to polls and real-lief scenarios
- Recommended reading
- An introduction to the RICS Responsible Use of AI, Technology and Data standard
- 7.5 hours of CPD
Learning outcomes
By the end of the web class, participants will be able to:
Explain the fundamentals of artificial intelligence and its applications across different surveying disciplines.
Demonstrate effective methods for collecting, managing, and analysing data to support AI-driven solutions.
Apply AI-powered tools to automate and enhance surveying tasks.
Evaluate opportunities for integrating AI within their specific surveying practice.
Discuss data privacy, ethical implications, and practical challenges associated with AI implementation.
Analyse potential future advancements and the evolving role of AI in the surveying profession.
Meet the trainers
Chris de Gruben FRICS
Senior Director - AI in Property & PE / Data Consulting / AI Strategy, Artefact
Chris is a property generalist with nearly 20 years of global expertise in delivering strategic change. He worked and set-up successful property and valuation focused businesses in Asia and the UK. Chris enjoyed understanding how the built environment can be better managed and utilised for the benefits of all stakeholders. Today he leads multi-functional teams within a global data & AI focused management consultancy. He specialise in the implementation of cutting edge data science solutions along with the change management this entails across some of the UK's largest property companies. Beyond Artefact, Chris is the Vice-Chair of one of the PGP on Valuation within the RICS, defining what the future of the valuation trade should look like (in particular the uses of data and AI). He is also the co-chair of the AI, Data and Tech working group at the RICS where we are currently publishing new guidance and an external examiner for undergraduate built environment programmes at UCL and finally, an examiner for APC panels for the RICS.
Onur Demirci
Subject matter expert in data & AI
Onur is a senior professional specialising in the governance and responsible application of AI within regulated valuation practice. He serves at RICS as a Subject Matter Expert in AI and Data (RICS Consultant), contributing to the development and implementation of technical guidance and supporting professional standards across global surveying practice. He is Co-Technical Author of AI in Real Estate Valuation – Global Guidance (1st Edition), supporting implementation of the RICS Global Standard: Responsible Use of Artificial Intelligence in Surveying Practice (2025) and shaping structured governance frameworks for AI-enabled valuation within regulated professional environments. He co-developed and delivers the RICS “Global Harnessing AI and Data in the Built Environment” programme and chairs a specialist RICS working group contributing to AI-related professional standards. As Founder and CEO of a venture capital-backed, RICS-regulated AI-supported digital valuation firm serving financial institutions, he led the business to successful acquisition by an international investment firm. The company operated within the framework of RICS firm regulation, embedding AI within regulated valuation workflows while ensuring final valuation conclusions and professional accountability remained solely with MRICS-qualified valuers in accordance with Red Book requirements. He previously served as Senior Lecturer and Course Leader on RICS-accredited undergraduate and postgraduate real estate degree programmes, specialising in valuation, real estate finance and the digital transformation of valuation practice. He holds an MEd (Mathematics) from the University of Cambridge and an MSc (International Real Estate and Planning) from UCL (RICS/RTPI accredited), undertook doctoral research at the University of Cambridge, and is a Fellow of the Higher Education Academy (FHEA), the Royal Statistical Society (FRSS), the Royal Society of Arts (FRSA) and the Royal Geographical Society (FRGS).
Register your interest
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