How will the use of AI change the construction industry?

Artificial intelligence (AI) is becoming one of the key components of many industries, including construction. The TOR Business Advisors Team talked to Dawid Dajczak, IT & AI Project Manager, and Kamil Zajac, Data Consultancy&Reporting Expert, about the challenges and benefits of using AI in the construction industry. The conversation touched on issues of cybersecurity, legal regulations, as well as sustainability and efficiency of construction processes.

What are the biggest challenges of implementing AI in the construction industry, especially in the context of cybersecurity?

Dajczak: The biggest challenges are protecting data from cyberattacks and protecting AI systems from unauthorized access. It is necessary to implement advanced security systems and regular software updates to minimize risks. The high level of complexity of construction projects increases vulnerability, which is why cybersecurity is becoming a priority. AI in the construction industry is also essential for staff training on cybersecurity best practices. Compliance with international safety standards such as ISO/IEC 27001 is also required.

What steps should construction companies take to ensure that AI systems comply with safety standards, such as ISO/IEC 27001?

Dajczak: Construction companies should regularly conduct safety audits. Implementing best practices in information security management, including data encryption and access management, is critical. Companies should also invest in staff training to ensure that all employees understand and follow safety rules. Regular system updates and penetration tests help identify and eliminate potential threats. Finally, continuous monitoring and reporting of compliance with standards is essential to maintain a high level of safety over the long term.

Are current regulations, such as GDPR, sufficient to protect data in the context of the use of AI in the construction industry?

Hare: The GDPR provides a solid foundation for the protection of personal data, but in the context of AI in the construction industry, additional regulations may be needed, especially regarding the transparency of algorithms and the management of large data sets. Although the GDPR covers many aspects related to privacy, AI requires special attention to the protection of data, which can be used to create predictive models and analyze patterns. Companies also need to monitor how their AI systems process and store data to ensure GDPR compliance. In addition, it may be necessary to adapt data protection policies to the specific requirements of the EU “Artificial Intelligence Act”, which increases the complexity of data management in construction projects. Finally, data protection must be part of a broader compliance strategy, covering both technical and legal aspects.

How does the EU AI Act affect the use of AI in the construction industry in the European Union?

Hare:”The EU AI Act” introduces regulations that aim to ensure the safety and transparency of AI systems, forcing construction companies to make additional investments in regulatory compliance. This means that companies must conduct risk assessments as well as prove that their AI systems comply with the regulations. The implementation of these regulations can increase the time for the introduction of new technologies, but also improve the level of trust in AI. Companies must be prepared for certifications and audits, which increases costs but also reduces legal risks. The “EU AI Act” also contributes to the standardization of AI in the industry, which facilitates integration with other sectors.

What strategies can construction companies adopt to minimize the risk of cyberattacks on AI systems?

Dajczak: Construction companies should implement advanced security protocols, including data encryption and access management. Regular penetration tests help identify vulnerabilities in systems that can be exploited by cybercriminals. Construction companies should also monitor their systems in real time to respond quickly to potential threats. Investing in cybersecurity education and training for staff is crucial to minimize the risk of attacks stemming from human error. Finally, companies should constantly update their security systems to be resistant to the latest threats.

What are the benefits of using AI in the construction process, especially in the context of resource optimization and error reduction?

Hare: AI can significantly improve resource management, minimizing material waste and increasing the efficiency of work on the construction site. With AI-based tools, companies can accurately plan and monitor the progress of work, allowing for quick identification and correction of errors. AI also supports process automation, which contributes to the reduction of costs and project lead times. The use of AI in data analysis can also improve the accuracy of forecasts and planning, which in turn reduces the risk of delays. Ultimately, AI helps to increase the quality and efficiency of projects, which translates into better financial results and customer satisfaction.

Are concerns about the costs of implementing and maintaining AI systems in the construction industry justified?

Dajczak: The initial costs of implementing AI systems can be high, but the long-term benefits, such as resource savings and error reduction, often outweigh these expenses. As AI technology becomes more accessible, the costs of its implementation begin to fall, making it a more attractive investment. It is also worth noting that investments in AI can lead to significant operational savings, thanks to better project management and increased work efficiency. Companies that introduce AI can also gain a competitive advantage, which can bring additional financial benefits. Therefore, although the initial costs can be high, the potential returns on investment are substantial.

How can construction companies effectively integrate AI into existing systems while avoiding the complexity and cost of implementation?

Hare: To successfully integrate AI into existing systems, construction companies should adopt a modular approach that allows for the gradual deployment of new technologies. It is also important that AI systems are compatible with existing tools and infrastructure, which minimizes the cost and complexity of integration. It is worth investing in technologies that facilitate integration, such as BIM platforms that can work with AI tools. Companies should also focus on training staff to ensure a smooth transition to new technologies. Regularly evaluating your progress and adjusting your integration strategy can help you avoid costly mistakes and delays.

How can AI contribute to better data analysis and forecasting maintenance needs in construction projects?

Hare: AI can significantly improve the data analysis process, allowing for more accurate forecasting of maintenance needs and minimizing the risk of failure. Thanks to AI, it is possible to process and analyze sensor data in real time, which allows you to quickly identify problems and optimize maintenance activities. AI can also analyze historical data, allowing for better prediction of future needs and more efficient maintenance planning. Companies can also use AI to create predictive models that identify potential problems before they occur. This allows for proactive maintenance management, which in turn translates into greater reliability of the infrastructure.

These and other topics on the application of AI in the construction industry will be addressed during the training “Practical Application of Artificial Intelligence (AI) in Business” which will be held on October 15 in an online format, organized by the TOR Economic Advisors Team. Detailed information can be found at tor-konferencje.pl. We invite you!

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