The rapid advancement of technology is reshaping real estate, offering new efficiencies while introducing fresh challenges. Here are some new interesting insights highlighting the evolving role of technology in the sector.
Redefining energy efficiency: Revelop and Myrspoven’s AI-driven transformation
In a new case study, Revelop has partnered with Myrspoven to improve the energy efficiency of its properties. Myrspoven’s AI platform, myCoreAI, was integrated to optimise energy use. It analyses data from the building and external sources, such as weather and social patterns, to create a unique algorithm tailored to each building’s specific conditions and usage.
You can read the full case study below. For a deeper dive into digital transformation in real estate, check out our last two expert papers on:
- Navigating the digital landscape: managing smart buildings – Tackling the complexities of smart building operations and optimisation.
- The Impact of AI on Real Estate – An INREV Technology Committee paper on AI’s risks, opportunities, and future potential.
Cybersecurity in real estate: mitigating emerging risks
As digital solutions become more embedded in real estate, cybersecurity risks grow. Stay tuned for INREV’s upcoming IQ blog on cybersecurity to explore key challenges, including asset-level vulnerabilities, reputation risks, and best practices for mitigating emerging threats.
For more resources on technology-related topics, explore our dedicated Technology theme page.
Have a best practice example of technology, net zero or ESG to inspire other INREV members? Submit your case study to marcomms@inrev.org for a possible feature on our website.
Redefining energy efficiency: Revelop and Myrspoven’s AI-driven transformation in real estate
Published on 12 Mar 2025
Revelop has partnered with Myrspoven to improve the energy efficiency of its properties.
Myrspoven’s AI platform, myCoreAI, was integrated to optimise energy use. It analyses data from the building and external sources, such as weather and social patterns, to create a unique algorithm tailored to each building’s specific conditions and usage.