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It is unmistakable: The construction industry is undergoing a profound transformation. Digitalization is advancing relentlessly, and with it, so is the artificial intelligence in construction industry . In light of increasingly complex construction projects, the omnipresent shortage of skilled labor, and the growing pressure to work more sustainably and cost-effectively, innovation today is no longer a luxury but an absolute necessity. Here at Valoon GmbH, we are excited about the enormous potentials that AI holds for the construction sector to turn traditional work methods upside down and achieve truly significant improvements. In this article, we want to give you a comprehensive overview of the role of artificial intelligence in the construction industry – from the basics to exciting current applications, as well as a look at future developments. And of course, we will show you how your company can benefit. Join us on a journey of discovery and learn how our solutions can actively support you in the digitalization of the construction industry .
- The construction industry is facing a change driven by digitalization and the need for innovation.
- AI offers enormous potential for increasing efficiency, reducing costs, and improving quality.
- Companies that invest in AI secure competitive advantages and shape the future of the industry.
- This article analyzes the role of AI, its applications, opportunities, challenges, and how Valoon can assist.
Why innovation and efficiency are crucial now
Let’s be honest: The construction sector often still lags behind other industries in terms of digitalization. But this backlog harbors tremendous potential! The artificial intelligence in construction industry promises to automate processes, increase planning accuracy, optimize resource usage, and improve safety at our construction sites. In Germany alone, the economic benefits are estimated to reach several billion euros in the next decade. Companies that smartly invest in the artificial intelligence in construction industry will secure a decisive competitive advantage and actively shape the future of the construction industry. It’s not just about building faster, but primarily about building smarter – all while keeping quality and sustainability in mind.
What to expect in this article: A comprehensive analysis and a forward-looking perspective
With this contribution, we want to provide you with a truly detailed insight into the transformative power of artificial intelligence in the construction sector. We’ll take a close look at how AI is already optimizing planning, execution, and management processes, and what tangible benefits this brings you. In doing so, we want to highlight both the opportunities and the challenges associated with the implementation of AI systems – because transparency is important to us. We at Valoon GmbH also want to show you how we can support you with our innovative approaches, such as structuring your messenger communication into actionable project data. This way, we help you lower the entry barriers for using artificial intelligence in construction and significantly increase the efficiency of your projects. Stay tuned to find out how you can pave the way for a successful future!Another Engaging Heading
To fully exploit the potential of artificial intelligence in the construction industry , it is crucial to first understand how it actually works and where it can be applied. Don’t worry, AI is much more than just a buzzword! It encompasses a whole range of technologies that empower machines to perform human-like intelligence tasks – from lightning-fast pattern recognition in vast amounts of data to autonomous decision-making. What does this mean for us in the construction industry? Simply put: Complex problems, for which we previously had to spend much time and manual labor to solve, can now be addressed much more efficiently and precisely. A solid foundational understanding of the artificial intelligence in the construction industry is therefore the first crucial step on the path to successful implementation.
- AI simulates human-like intelligence and uses machine learning to learn from data and recognize patterns.
- In construction planning, AI enables generative design for optimized design variants.
- In construction execution, autonomous machines and robots can increase efficiency and safety.
- AI supports project management through risk analysis, schedule optimization, and resource allocation.
- In safety management, AI can detect hazards and help prevent accidents.
What exactly is AI, and how does it really work?
Artificial intelligence, or AI, refers to systems or machines that can simulate human-like intelligence capabilities such as learning, problem-solving, and decision-making. At the heart of many AI applications are algorithms of machine learning (ML). These enable systems to learn from data and autonomously improve their performance over time without having to be reprogrammed each time. A particularly important aspect is their ability to analyze large amounts of data and recognize patterns or anomalies within them. This is particularly useful for anomaly detection for efficiency improvement. This benefits the artificial intelligence in construction industry enormously. Specifically, according to Tata Consultancy Services, there are Reactive AI, AI with limited memory, Theory of Mind, and self-aware AI. Currently, we mostly deal with what is called “weak” or methodological AI in the construction industry, which is specialized in very specific tasks.
Where can AI make an impact in construction?
The applications of artificial intelligence in the construction industry are truly diverse and span the entire lifecycle of a project. Here are some core areas where AI is already making a significant impact:
- Planning and Design: Imagine AI-powered generative design tools creating and evaluating thousands of design variants based on your specifications such as cost, materials, or energy efficiency. The result? An optimized AI construction planning and more informed decisions even in the early project phases.
- Construction Execution: Autonomous construction machines and robots, intelligently controlled by artificial intelligence in construction industry, can take on repetitive and even dangerous tasks. This not only boosts efficiency but also increases safety. Monitoring construction progress with drones on construction sites and AI-powered image analysis is another exciting example.
- Project Management: AI software can analyze project data to detect risks early, optimize schedules, and allocate resources more efficiently. This is precisely where our solutions at Valoon come into play: We want to simplify communication and make data from messengers directly usable for your project management – a fantastic support for the artificial intelligence in construction industry.
- safety and risk management: AI systems can monitor construction sites in real-time and identify potential hazards, such as missing safety equipment or unsafe working conditions. This helps to prevent accidents. Oracle highlights how
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The theoretical possibilities of artificial intelligence in the construction industry already sound promising, but even better is that there are more and more concrete applications and successful case studies breathing life into this! These examples vividly show how AI technologies are already helping to make our construction projects more efficient, safer, and of higher quality. From automated creation of optimized construction plans to the use of autonomous machines directly on-site – AI artificial intelligence in construction industry is clearly on the rise and is sustainably changing the way we plan, build, and manage our projects. The integration of construction tech plays a decisive role in this.
Generative Design: This is how construction plans are effectively optimized
Imagine being able to generate and evaluate countless design options for your construction project – all based on your specific goals and conditions. Generative design, powered by artificial intelligence in the construction sector, makes this possible. Tools like Autodesk Forma or Testfit use clever algorithms to optimize aspects like residential density or daylight access in urban planning. A truly impressive example is provided by the AI project management software ALICE Technologies: For a residential project, the system simulated a staggering 300 alternative scenarios in just four days. What was the result? Seven of these scenarios were better than the original plan and led to an 18% reduction in project duration and a 15% cost saving! This clearly demonstrates the power that AI artificial intelligence in construction industry has in optimizing even the most complex construction projects.
Robots and Automation: The Future on the Construction Site
The deployment of robots and autonomous construction machines, driven by artificial intelligence in the construction sector, is no longer science fiction and is steadily increasing. AI-controlled excavators, bulldozers, and drones can perform tasks such as earthworks, material transport, or inspections much more precisely, quickly, and safely than humans ever could. Robots are increasingly being used for repetitive tasks such as masonry, formwork construction, or concreting. This not only leads to a significant increase in efficiency, but also a noticeable improvement in working conditions, as physically demanding and dangerous work is reduced. The vision is clear: the automated execution of standard tasks under the supervision of qualified professionals. By the way, this also makes careers in the artificial intelligence in construction immer attraktiver.
Always keep everything in view: AI-powered project monitoring and management
Keeping track of project progress continuously is crucial for success. And this is exactly where AI artificial intelligence in the construction sector can provide valuable services. For example, Doxel uses autonomous devices like robots and drones equipped with Lidar and 360° cameras to capture visual data daily. Deep learning algorithms then compare the actual state with the BIM model and uncover deviations. Buildots, on the other hand, leverages computer vision and helmet-mounted cameras to match progress with the BIM model and project plan, thereby predicting potential delays early on. Such systems enable us to take proactive action and manage schedules and budgets much more effectively. The prediction of material availability and weather conditions by AI models also contributes to optimization and is an important aspect of the artificial intelligence in construction.Another Engaging Heading
When we deploy artificial intelligence in construction , we unlock a wealth of advantages that go far beyond mere efficiency gains. Of course, companies can reduce costs and complete projects faster. But it’s about much more: We can improve construction quality, enhance safety at our construction sites, and make a genuinely important contribution to more sustainable building practices. The potentials are huge and affect almost every aspect of our construction processes. The intelligent use of data through artificial intelligence in the construction sector is the key to truly harnessing these benefits and preparing our industry for the future. It can be said that the digital transformation in construction is being largely driven by AI.
- AI optimizes processes, reduces costs through precise material forecasting, and automates routine tasks.
- Construction quality is improved through early defect detection and real-time data analysis.
- Sustainable building is promoted through material selection, energy optimization, and waste reduction.
- Essential benefits include increased productivity, improved decision-making, and enhanced safety.
More efficiency, less cost – it’s worth it
One of the most tangible advantages of artificial intelligence in the construction industry is clearly the optimization of processes and the associated cost reduction. AI systems can, for example, accurately predict and optimize material consumption, resulting in considerably less waste. By analyzing historical data and current market conditions, they enable more precise cost estimates and better budget control – a good example of this is Cosuno’s AI-based cost estimation. The automation of routine tasks by robots and AI software leads to a noticeable reduction of workload and a significant acceleration of construction processes. For example, take the AI-based analysis of tenders, as mentioned in the research input: It can lead to a much more objective evaluation that goes beyond pure price and also considers aspects like expertise and technology use. These are clear signs of the effectiveness of artificial intelligence in construction!
Better construction quality and fewer errors – that’s what matters
Die artificial intelligence in the construction sector plays an important role in enhancing construction quality. AI-powered image analysis systems can analyze photos and videos of structures, enabling early detection of defects or deviations from the plan. This allows for a quick correction and prevents costly rework. Imagine embedded sensors in building materials like concrete or wood collecting real-time data on structural integrity. AI systems analyze this data and provide early warnings about potential issues such as cracks or excessive moisture. This proactive approach artificial intelligence in construction minimizes risks and ensures the longevity of our constructions. The maximization of efficiency through anomaly detection using AI plays a crucial role here.
Sustainability and environmental protection – making a difference with AI
The issue of sustainability is becoming increasingly important in the construction industry, and the good news is: AI can make a significant contribution here. AI can assist us in selecting environmentally friendly materials, optimizing buildings’ energy consumption, and reducing waste volumes. Through precise planning and control of construction processes, artificial intelligence in the construction sector kann hier einen wesentlichen Beitrag leisten. KI kann uns bei der Auswahl umweltfreundlicher Materialien unterstützen, den Energieverbrauch von Gebäuden optimieren und Abfallmengen reduzieren. Durch die präzise Planung und Steuerung von Bauprozessen hilft artificial intelligence in the construction sectorhelps minimize resource consumption and reduce CO2 emissions. An exciting example is the optimization of recycling processes, such as the Swiss model SENS AI, which categorizes electronic waste using image recognition. The promotion of a circular economy through better tracking of materials, as proposed in SAP’s Circular Economy 2.0, is also supported by AI.
The main advantages of AI integration in construction at a glance
The integration of artificial intelligence in the construction industry offers a whole range of advantages for companies of all sizes. Here are some of the key benefits you can achieve:
- Increased productivity: By automating routine tasks and optimizing workflows, projects can be completed faster and with less manpower. This really drives artificial intelligence in construction industry forward.
- Improved decision-making: AI-powered analyses provide us with precise data and forecasts. This enables informed decisions at all project phases and highlights the effectiveness of AI solutions.
- Higher safety: The continuous monitoring of construction sites and early detection of hazards through AI systems significantly reduce the risk of accidents – a core aspect of artificial intelligence in construction, which we all care about.
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As promising as all this sounds – we want to be honest: The implementation of artificial intelligence in the construction industry is not always a walk in the park despite the obvious advantages and enormous potential. Companies face various barriers, ranging from technical aspects to data protection concerns and significant implementation costs. A realistic assessment of these challenges is absolutely crucial to develop smart strategies for successfully integrating artificial intelligence in the construction industry and to truly advance the digital transformation. Often, overcoming these challenges requires a real paradigm shift and appropriate investments.
The key: Availability and quality of data
A central obstacle to the widespread deployment of artificial intelligence in the construction industry is often the data situation. AI systems are hungry – they require vast amounts of high-quality and well-structured data to be effectively trained and to deliver reliable results for us. But what does it look like in many construction companies? Data is often stored in various silos, exists in unstructured formats like Excel spreadsheets or old 2D plans, or is simply not digitally recorded yet. Often, there is a lack of standardized data formats and an end-to-end data strategy. Without a solid data foundation, the enormous potential of AI artificial intelligence in construction remains unfortunately untapped. This is where we at Valoon GmbH come in: We help you convert unstructured communication from messengers into actionable project data.
The art of integration: Connecting the new with the old
Integrating new AI solutions into existing IT infrastructures and established workflows – this is another significant challenge many face. Many companies utilize older software solutions that don’t seamlessly work with modern AI applications. The lack of standardized interfaces (APIs) often complicates data exchange and collaboration between different systems unnecessarily. A successful implementation for AI artificial intelligence in construction industry often means more than just acquiring new software; it also requires adjusting the existing system landscape and familiar processes. This can be a real hurdle, especially for small and medium-sized enterprises (SMEs).
Safety first: Data Privacy and Data Security
With the increasing use of AI and the associated processing of vast amounts of data, concerns regarding data privacy and data security naturally rise as well. Sensitive project data, employee information, and valuable trade secrets must be absolutely protected against cyberattacks and unauthorized access. Compliance with strict data protection regulations, such as the General Data Protection Regulation (GDPR) here in Europe, is not an option but a necessity. Companies therefore need to implement artificial intelligence in the construction industry und der damit verbundenen Verarbeitung riesiger Datenmengen nehmen natürlich auch die Bedenken hinsichtlich Datenschutz und Datensicherheit zu. Sensible Projektdaten, Mitarbeiterinformationen und wertvolle Geschäftsgeheimnisse müssen absolut zuverlässig vor Cyberangriffen und unbefugtem Zugriff geschützt werden. Die Einhaltung strenger Datenschutzbestimmungen, wie der Datenschutz-Grundverordnung (DSGVO) hier in Europa, ist dabei nicht Kür, sondern Pflicht. Unternehmen müssen also robust security measures – think encrypted data transfer, antivirus protection, and clear access controls. Only in this way can we sustainably ensure trust in the use of artificial intelligence in the construction industry. And let’s not forget: Unclear liability issues for mistakes caused by AI are also an important point that must be contractually regulated.Another Engaging Heading
For the implementation of artificial intelligence in the construction industry to truly succeed, a well-thought-out strategy and a step-by-step approach are essential. It’s not about randomly introducing every available AI technology but rather selectively choosing the solutions that bring the most value to your business. A clear vision, the active involvement of your employees, and the willingness to learn from gathered experiences – these are the critical success factors. Developing an enterprise-wide AI strategy, as Drees & Sommer does, is a really crucial step to systematically unlocking the potentials of AI artificial intelligence in construction industry and driving them forward powerfully. digitalization of the construction industry kraftvoll voranzutreiben.
Laying the foundation: Developing a comprehensive data strategy
The absolute foundation for any successful application of AI artificial intelligence in the construction industry is a solid data base. Companies should ideally start with some kind of data audit: Identify your existing data sources, assess their quality, and determine how these data are currently utilized. Based on this, you can then develop a comprehensive data strategy. This should define clear guidelines for the collection, storage, management, and use of your data. Implementing data standards and creating a central data platform can help break down annoying data silos and ensure the availability of high-quality data for your AI applications. This is truly a prerequisite for fully utilizing the many benefits that AI starten: Identifizieren Sie Ihre vorhandenen Datenquellen, bewerten Sie deren Qualität und stellen Sie fest, wie diese Daten aktuell genutzt werden. Darauf aufbauend können Sie dann eine umfassende Datenstrategie entwickeln. Diese sollte klare Richtlinien für die Erfassung, Speicherung, Verwaltung und Nutzung Ihrer Daten definieren. Die Implementierung von Datenstandards und die Schaffung einer zentralen Datenplattform können dabei helfen, lästige Datensilos aufzubrechen und die Verfügbarkeit hochwertiger Daten für Ihre KI-Anwendungen sicherzustellen. Das ist wirklich eine Grundvoraussetzung, um die vielen Vorteile, die die artificial intelligence in construction industry offers.
Small steps, big impact: Gradually introducing AI solutions
Instead of trying to implement AI solutions wholesale and all at once, we recommend a gradual approach. Start with artificial intelligence in the construction sector gleich flächendeckend und auf einen Schlag einzuführen, empfehlen wir ein schrittweises Vorgehen. Fangen Sie am besten mit pilot projects and proofs of concepts in clearly defined areas where you can achieve quick visible successes. This could be automating certain planning steps, AI-based analysis of inspection data, or optimizing your construction site logistics. The experiences you gain from these pilot projects will greatly aid you in assessing the potential for AI artificial intelligence in construction industry more accurately, recognizing challenges early, and fostering acceptance across the company. The PORR AG follows this approach, for example, with selected construction site teams to effectively implement AI.
Bringing everyone on board: Training and further educating employees
The introduction of AI artificial intelligence in the construction industry changes workflows and naturally also requires new skills from your employees. Therefore, it is absolutely essential to invest in the training and further education of your staff. Your employees need to understand how AI systems work, how to operate them, and what concrete benefits they bring. It’s about alleviating potential fears and fostering acceptance of new technologies. Developing skills in data analysis and AI application is truly crucial to fully harness the potential of artificial intelligence in the construction industry. Institutions like KIT and TMB are already active in this and are developing specialized training programs.
Your roadmap to AI: Important steps for implementation
For a structured and successful introduction of artificial intelligence in the construction industry we recommend the following steps:
- What do we really need? Needs analysis and goal definition: Identify concrete problems or areas in your company where AI can create real value (e.g., increasing efficiency, reducing errors, improving safety).
- Laying the foundation: Building a data foundation: Take stock of your data and develop a clear strategy for collecting, preparing, and managing high-quality data.
- The right tools and helpers: Technology selection and partners: Evaluate suitable AI solutions and, if necessary, involve external experts or innovative startups to develop customized systems.
- Just get started: Launch pilot projects: Begin with small, manageable projects. This way, you will gain valuable experiences and can celebrate quick successes.
- Involve the team: Engage and train employees: Communicate all changes transparently and invest in the training of your employees. This fosters acceptance and builds essential know-how.
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We are just at the beginning of developing AI artificial intelligence in the construction industry , but the progress made so far and the trends that are already emerging point to a truly profound and sustainable change in our sector. One can already imagine that future AI systems will be even more powerful, intuitive to use, and much more interconnected. This will not only further optimize how we plan and construct buildings, but entirely new business models and job profiles will also emerge. For all of us, this means: Continuously monitoring AI advancements and the activities of our competitors is absolutely vital to optimize opportunities for AI artificial intelligence in construction industry and remain competitive in the long term.
What’s next? New technologies and exciting trends
Research and development in the field of AI artificial intelligence in the construction industry is setting an impressive pace. We can look forward to advancements in generative design tools that can create even more complex designs while considering a vast range of parameters. A significant trend will undoubtedly be the use of AI in predictive maintenance. of buildings and facilities. Sensor data is analyzed to detect maintenance needs early and avoid costly failures. Additionally, the integration of AI with other exciting future technologies such as Web3, Virtual Reality (VR), Augmented Reality (AR), and the Metaverse will open up entirely new possibilities for visualization, collaboration, and simulation in the artificial intelligence in construction – Drees & Sommer is already exploring this.
How AI is changing our work environment (and how it isn’t)
The increasing automation due to artificial intelligence in the construction sector will certainly have an impact on our work environment, that’s clear. Repetitive and physically demanding tasks are being increasingly taken over by machines and robots. This can help us mitigate the labor shortage in certain areas and even enhance the attractiveness of construction professions by allowing human workers to focus on more complex, creative, and supervisory tasks. But – and we want to emphasize this – AI will not replace human project managers, as highlighted by LinkedIn articles. Rather, it is meant to make our work easier! The emotional intelligence, creativity, and leadership skills of us humans remain absolutely indispensable. New qualification requirements will emerge, which is why retraining and continuing education programs are so important to prepare our teams for the changing demands of the artificial intelligence in construction industry.
Building greener with AI: Sustainability and circular economy
Die artificial intelligence in the construction sector will play a crucial role in promoting sustainable construction practices and establishing a functioning circular economy. By optimizing material usage, reducing waste, and precisely planning deconstruction and recycling processes, AI can help us significantly reduce the ecological footprint of the construction industry. For example, AI systems can suggest the best strategies for reusing building materials by analyzing data on material costs, recycling options, and environmental impacts. Our vision is a construction industry where resources are used efficiently and materials are recycled sustainably at the end of their lifecycle – a goal that can be achieved through the intelligent use of artificial intelligence in the construction industry AI.Another Engaging Heading
One thing is for sure: AI artificial intelligence in construction is much more than just a short-lived trend – it is an absolutely critical factor for the future viability and competitiveness of our entire sector. From optimized planning to efficient construction execution and intelligent building management, AI offers us so many opportunities to improve processes, reduce costs, and enhance quality. Yes, the challenges of implementation are real, but we are convinced: With a smart strategy, the right partners by your side, and a willingness to change, they are absolutely surmountable. We at Valoon GmbH firmly believe that artificial intelligence in the construction sector has the potential to revolutionize the way we build from the ground up and help us all achieve a more sustainable and efficient construction industry.
The key takeaways summarized
In this article, we’ve seen that AI artificial intelligence in construction is already being applied in many areas today and truly brings significant benefits. Key insights clearly include the increase in efficiency through automation, the improvement of planning and construction quality through data-driven decisions, the enhancement of safety on our construction sites, and the enormous potential to promote sustainable construction practices. At the same time, we have also not shied away from discussing challenges such as data availability, integration efforts, and ethical issues. A strategic approach that also includes investments in good data infrastructure and employee competencies is and remains crucial for success. AI artificial intelligence in construction industry is definitely a field with immense growth potential!
A look ahead: What the future holds
The development of AI artificial intelligence in the construction industry will continue to accelerate rapidly. Future systems will be even more interconnected, autonomous, and capable of learning than we might imagine today. We expect exciting advancements in areas such as generative design, robotics, predictive maintenance, and integration with technologies like BIM, IoT, and digital twins. The ultimate goal is the intelligent construction site, where data is collected, analyzed, and used in real-time for optimized decision-making. The artificial intelligence in construction industry will play a significant role in enabling us to realize construction projects faster, more cost-effectively, and sustainably. We at Valoon GmbH are happy to accompany you on this exciting journey and support you with our solutions that transform your everyday messenger communication into structured project data, helping to eliminate the daily information overload.
What you can do now: Our recommendations for action
To make the most of the many opportunities that AI artificial intelligence in construction industry offers, companies should take action now. Start with an honest analysis of your current processes and identify the areas where AI can create the most value for you. Invest in a solid data strategy and create the necessary infrastructure for it. Very importantly: promote the AI understanding and skills of your employees through targeted training. Begin with manageable pilot projects to gather valuable experience and achieve quick successes. Valoon GmbH stands by you with our expertise in project management and communication, offering innovative solutions to leverage the artificial intelligence in the construction sector for your company’s benefit. Don’t hesitate to contact us today for personalized advice! Discover how we can optimize your projects with our software, which is rightly considered one of the ‘easiest project management software in the world.’ Explore the myriad possibilities at Valoon Contact.
How can AI specifically help small and medium-sized construction companies (SMEs)?
AI helps SMEs by planning resources more efficiently, automating administrative tasks (e.g., generating reports from messenger data like with Valoon) and optimizing the communication. This reduces costs and increases competitiveness even without large IT departments.
Our field staff mainly use WhatsApp. How can AI intervene here without the need for us to introduce complex new software?
Modern AI solutions like those from Valoon GmbH integrate seamlessly into familiar messengers like WhatsApp. AI automatically structures the information exchanged there (text, photos, locations) and converts it into usable project data , without requiring employees to learn new, complicated tools.
What initial steps are recommended to introduce AI in our construction business?
Start with an analysis of your current processes, to identify areas with the greatest optimization potential. Begin with pilot projects for clearly defined use cases, such as automated documentation via messenger. This way, you gain experience and achieve quick successes.
Can AI really help mitigate the skilled labor shortage in the construction industry?
Yes, AI can alleviate the skilled labor shortage by automating repetitive tasks and relieving skilled workers from routine work. This allows employees to focus on more complex and value-adding activities and increases the attractiveness of construction occupations.
How is it ensured that the data captured via messenger is processed in compliance with data protection laws when using AI?
Reputable providers of AI solutions for the construction industry, like Valoon GmbH, place great emphasis on data protection. This includes encrypted data transmission, compliance with GDPR regulations, and clear access controls, to protect sensitive project and employee data.
Does AI replace human project managers or site managers?
No, AI is a tool that supports and relieves project managers and site managers , but does not replace them. The, aber nicht ersetzt. Die experience, decision-making ability, and social skills of humans remain irreplaceable for project success. AI automates tasks and provides better data foundations.
