Data processing

The role of artificial intelligence in the German economy

Artificial intelligence (AI) has become one of the most important topics in the world of technology and business in recent years. It encompasses a variety of technologies that enable machines to develop human-like capabilities, such as learning, problem-solving and decision-making. The origins of AI date back to the 1950s, when scientists began to develop algorithms that enabled computers to perform simple tasks. Since then, the [...]

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IoT in maintenance: efficient technology for system maintenance

The Internet of Things (IoT) refers to a network of physical objects that are equipped with sensors, software and other technologies to collect and exchange data. These objects can include anything from household appliances to industrial machines. The idea behind IoT is to improve the interaction between devices and people by enabling them to communicate information in real time. This networking enables companies to

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Innovations in cloud technology: the future of IT

Cloud technology has become an indispensable part of the IT industry in recent years. It enables companies to store and manage their data and applications over the internet instead of having to rely on local servers or hardware. This flexibility has not only revolutionised the way companies design their IT infrastructure, but has also significantly increased the efficiency and agility of business processes. By utilising cloud services, companies can

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The future of cloud strategies

Cloud strategies are a central component of modern corporate IT. They enable companies to optimise their IT infrastructure, reduce costs and respond more flexibly to market requirements. By utilising cloud services, companies can improve their agility and scalability and increase their operational efficiency. Cloud technology provides access to innovative solutions such as artificial intelligence, machine learning and big data analyses. These technologies enable companies to remain competitive and tap into new business opportunities.

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GDPR: Data protection rules for companies

The General Data Protection Regulation (GDPR) is an EU regulation that came into force on 25 May 2018. It aims to strengthen the protection of personal data and extend the rights of EU citizens with regard to their data. The GDPR applies to all companies that process the personal data of EU citizens, regardless of where the company is based. This means that companies worldwide must comply with the GDPR when interacting with EU citizens. The GDPR is of great importance for companies

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The future with edge computing

Edge computing is a concept in information technology that moves data processing and analysis closer to where the data is generated. Instead of sending data to remote data centres, processing takes place directly at the edge of the network, close to the end devices or sensors. This enables faster data processing and reduces the volume of data to be transmitted. This technology is particularly important in areas that require real-time processing and low latency, such as Industry 4.0, Internet of Things

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Housing management: tasks and cooperation

Flat management is an essential part of property management. It comprises various areas of responsibility that ensure the smooth running of the tenancy between tenants and landlords. The main tasks include the letting of residential units, the billing of operating costs, the maintenance and servicing of the property and communication between all parties involved. Effective property management is characterised by expertise, reliability and transparency. It has in-depth knowledge of tenancy law and ensures the correct management of the property.

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Data minimisation according to GDPR: the TOP 5 mistakes

Data minimisation is a fundamental principle of the General Data Protection Regulation (GDPR), which is enshrined in Article 5(1)(c). This principle states that personal data must be limited to what is necessary for the purpose of processing. Companies and organisations are obliged to collect and process only the data that is essential for the specific purpose. The principle of data minimisation serves several purposes: Protection of privacy: By limiting the data collected

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Cloud computing: the future of data processing

Cloud computing is a technology that has become increasingly popular in recent years. It allows organisations and individuals to store and access their data and applications in the cloud rather than storing them locally on their own devices. In this blog post, we will take an in-depth look at cloud computing, explore its benefits for businesses and individuals, and discuss the differences and similarities between cloud computing and traditional computing.

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BIM data processing: Efficient planning and implementation

BIM data processing plays a crucial role in the construction industry. It enables efficient planning and realisation of construction projects. In this article, we will take a closer look at BIM data processing, analyse its importance for the construction industry and explain its advantages over conventional planning methods. We will also look at how BIM data processing works in practice, what software is used for it and how it can contribute to faster and more cost-effective construction projects.

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Surveying existing buildings in the digital age: how surveying technology is being revolutionised

Die Vermessungstechnik spielt eine entscheidende Rolle in der Bauindustrie. Sie ermöglicht es Architekten und Bauingenieuren, genaue Messungen von Bestandsgebäuden durchzuführen, um diese zu analysieren und zu planen. Im digitalen Zeitalter hat sich die Vermessungstechnik weiterentwickelt und bietet nun neue Möglichkeiten und Herausforderungen. In diesem Artikel werden wir uns mit den Unterschieden zwischen traditionellen und digitalen Vermessungstechniken befassen, den Einsatz von Drohnen und Laserscannern für präzise Vermessungen untersuchen, die Vorteile der

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The future of CAFM software: can artificial intelligence and AI help?

The potential of artificial intelligence and AI in the future of CAFM software is very promising. By using advanced technologies and algorithms, these tools can support and optimise intelligent decision-making processes. The integration of machine learning enables continuous improvement and adaptation to changing requirements. By utilising large amounts of data, AI-based systems can make precise predictions and provide recommendations for action, which promises more efficient use of resources, cost reduction and improved safety. The practical implementation

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