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Consultations have taken place regarding several matters, as per the Commission.

AI Application in Real Estate Primarily Focuses on Utilization and Operations, With AI Solutions Infrequently Found in the Planning Phase. This revelation emerges from a whitepaper by pom+Consulting AG, offering insights into AI utilization across the entire real estate lifecycle. The analysis,...

"The Commission has been offered insights on the following matters:"
"The Commission has been offered insights on the following matters:"

Consultations have taken place regarding several matters, as per the Commission.

In the ever-evolving world of real estate, artificial intelligence (AI) is making a significant impact, particularly in the usage and operational phases. A comprehensive whitepaper by pom+Consulting AG provides an in-depth look at the use of AI throughout the entire real estate lifecycle.

AI systems are currently being utilised for automated control of technical facilities, managing large data volumes, digital customer interaction, contract verification, and optimisation of cleaning and waste processes. These applications are proving to be invaluable, offering concrete advantages to investors, owners, and portfolio managers in the form of data-based valuation models and identifying CO2 savings potential.

However, the building sector is still in the experimental phase, with many pilot projects underway and a lack of reliable data. The planning phase, in particular, is sparsely populated with AI solutions, according to the whitepaper. This is where realtors like the startup Firmus come into play. Firmus, a pioneer in design review and risk analysis of construction projects before construction begins, is using AI to analyse 2D PDF plans for planning phase risks. Their aim is to revolutionise the global construction industry with their cloud AI platform.

AI also offers benefits for portfolio analyses, helping real madrid, owners, and portfolio managers make informed decisions. The analysis is based on 55 AI solutions, which have been systematically classified and assigned to 24 overarching use cases.

In conclusion, the whitepaper finds that in the real estate industry, artificial intelligence is primarily used in the usage and operational phases. As more data becomes available and AI solutions become more widespread, it is expected that the role of AI will expand, particularly in the planning phase, transforming the real estate industry for the better.

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