26 March 2026 12pm – 1pm + Add to calendar Webinar Online

Following on from our recent webinar delivered in partnership with Yardi, we are pleased to share details of a new series of interactive webinars being delivered by UCL Centre for Sustainable Real Estate (CSRI), in collaboration with Acuity Data.

The series examines how senior real estate leaders can evaluate AI opportunities, risks and governance, equipping them with practical frameworks to make confident, informed decisions about adoption.

Following on from the first webinar, 'Is AI a Bubble or an Opportunity?', which took place on 25th February, we are pleased to share details of the second in the series.

Webinar 2

Should You Build, Buy, or Wait?

26 March 2026 | 12:00–13:00 | Online

A strategic discussion on how organisations can make defensible build, buy or wait decisions, with practical criteria for assessing capability, cost, risk and strategic fit.

Key themes include:

  • ​What building in-house truly requires (talent, data, infrastructure, time, and cost)

  • ​When buying or partnering is the smarter route

  • ​How to evaluate AI vendors and avoid costly lock-in

  • ​When waiting is the optimal strategic move

Register here:
https://luma.com/iv58osm4

 

Part of a Three-Part Executive Series

This session forms part of a structured, independent webinar series delivered by UCL CSRI and Acuity Data.

Designed for senior decision-makers, the series supports leaders in:

  • Separating AI hype from genuine business value
  • Making defensible build, buy or wait decisions
  • Understanding ownership, liability and governance risks
  • Preparing for regulatory and board-level scrutiny

Each session builds on the previous one, forming a clear learning journey into UCL CSRI’s Executive Education programme, Responsible AI for Business Leaders.

 

Webinar 3

Who Owns What When You Use AI?

22 April 2026 | 12:00–13:00 | Online

An exploration of ownership, liability and intellectual property risks in AI adoption, with practical guidance on contracts, governance and organisational safeguards.

Key themes include:

  • ​Unclear ownership of AI-generated assets

  • ​Copyright or licensing violations

  • ​Vendor lock-in or contractual exposure

  • ​Legal and reputational risk

Register here:
https://luma.com/1q4xwauy