Global Harnessing AI & Data in the Built Environment - 5 Part Web Class
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From £258 + VAT
Where Surveying Meets Innovation: Demystifying AI for the Built Environment
January/February 2026 Schedule
- 27/01/2026 | 09:30-11:00 (GMT)
- 03/02/2026 | 09:30-11:00 (GMT)
- 10/02/2026 | 09:30-11:00 (GMT)
- 17/02/2026 | 09:30-11:00 (GMT)
- 24/02/2026 | 09:30-11:00 (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
RICS Consultant: Subject Matter Expert (AI & Data)
Onur is a FinTech entrepreneur and academic leader with a proven track record in regulated innovation and higher education. As exited Founder and CEO of FINVISE (Imperium Global Ventures Ltd), he built the first AI-powered digital valuation firm to be regulated by RICS, scaled it with venture capital backing, and achieved a successful exit following its acquisition by a strategic investor in June 2025. Previously, Onur was a Senior Lecturer and Course Leader at the University of Westminster, Westminster Business School, specialising in real estate finance and valuation within RICS-accredited undergraduate and postgraduate degree programmes. His research explored the digitalisation of the real estate industry and AI-driven valuation models (AVMs), applying advanced machine learning techniques including ANN, CNN, and RNN, alongside an academic affiliation with Homerton College, University of Cambridge, in Mathematics Education. A Fellow of the Higher Education Academy (FHEA), holder of QTS, Fellow of the Royal Statistical Society (FRSS), FRSA and FRGS, and an alumnus of Cambridge and UCL, Onur is recognised as a trusted expert at the intersection of AI, finance, and regulation.
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