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Use of 5G networks and the Internet of Things

The use of 5G networks and the Internet of Things (IoT) is revolutionizing the way we live and work. 5G offers extremely high speeds, low latency, and high network capacity, enabling the seamless connection of billions of IoT devices. These devices, ranging from smart home appliances to industrial sensors, can exchange and analyze data in real time. This leads to more efficient processes, improved services, and new business models. In industry, IoT enables predictive maintenance and optimized production processes, while in healthcare, it promotes remote patient monitoring and personalized treatments. Overall, 5G and IoT are helping to make our world more connected, smarter, and more efficient.

Generative AI and its integration into business processes

Applications in training and customer interactions

Augmented Reality (AR) and Virtual Reality (VR) are revolutionizing training and customer interactions. In training and education, they enable learning environments in which complex scenarios can be simulated realistically. This promotes a deeper understanding and better preparation for real-life situations. In customer interaction, AR and VR offer innovative ways to present products and services. Customers can take virtual tours, view products in 3D, and enjoy interactive experiences that increase engagement and satisfaction. These technologies open up new dimensions of communication and learning.

Robotic Process Automation (RPA) and Business Process Automation

Robotic Process Automation (RPA) enables companies to automate repetitive and rule-based tasks using software robots, resulting in significant efficiency gains. These robots can process data, perform transactions, and even respond to customer inquiries without human intervention. Business process automation goes one step further by optimizing and integrating complex, company-wide processes. By automating business processes, companies can not only reduce costs, but also improve the accuracy and speed of their operations. This leads to higher customer satisfaction and greater competitiveness in the market.

Amazon Web Services (AWS) is a comprehensive cloud computing platform from Amazon.

AWS is used for a wide range of applications, including:

• Computing power: Provision of virtual servers and other computing resources.
• Storage: Storage and management of large amounts of data.
• Databases: Managing and scaling databases.
• Network services: Building and managing networks.
• Artificial intelligence and machine learning: Developing and deploying AI and ML applications.
• Internet of Things (IoT): Managing and analyzing IoT data

AWS is used by companies of all sizes and industries to reduce costs, increase agility, and innovate faster.

Microsoft Azure is a public cloud computing platform from Microsoft. It offers a variety of services, including:

• Infrastructure as a Service (IaaS): Enables the use of virtual machines and other infrastructure services.
• Platform as a Service (PaaS): Provides an environment for developing, managing, and deploying applications.
• Software as a Service (SaaS): Enables access to software applications via the Internet.

Azure is used for various purposes, including: processing and analyzing large amounts of data, deploying and managing virtual computers, storing and managing data in the cloud, building and managing networks, and providing development and testing environments.

Implementation of the Barrier-Free Accessibility Act (BFSG)

The Barrier-Free Accessibility Act (BFSG), which will come into force on June 28, 2025, aims to remove barriers in physical and digital spaces in order to improve the participation of people with disabilities in social and economic life. Among other things, it challenges companies to adapt digital applications such as websites, mobile apps, self-service terminals, telecommunications services, online banking, and e-books accordingly and to review them continuously.

Use of blockchain for secure transactions and data integrity

Blockchain technology is revolutionizing the way transactions are carried out and data is secured. Its decentralized structure offers a high degree of security and transparency. This is because each transaction is stored in a block and assigned a cryptographic hash, which makes it immutable. This prevents manipulation and ensures that all data remains authentic and intact. Blockchain is particularly invaluable in the financial sector and for sensitive data applications, as it significantly reduces the risk of fraud and data loss. In addition, it enables fast and cost-effective transactions without the need for a central intermediary, opening up new business models and applications. From smart contracts to decentralized finance (DeFi), blockchain offers innovative solutions that challenge and transform traditional systems.

C# (C-Sharp) is a modern, object-oriented programming language developed by Microsoft.

Use and integration of collaboration tools

Collaboration tools have become indispensable in the modern IT landscape. They enable teams to work together efficiently and implement projects successfully, regardless of their location. By integrating tools such as Microsoft Teams, Slack, Trello, or Jira, employees can communicate in real time, exchange files, and coordinate tasks. This promotes productivity and innovation, as ideas can be shared and implemented more quickly. However, challenges remain in terms of data security, the compatibility of different systems, and user acceptance. Careful planning and training are therefore essential to fully exploit the benefits and minimize potential risks.

Continuous integration (CI) and continuous deployment (CD) are essential practices in modern software development, especially in the context of DevOps and agile methods. They help to increase efficiency, detect errors early on and improve software quality. Continuous integration (CI) refers to the practice of regularly and automatically integrating code changes into a shared repository. This often happens several times a day. Automated tests are performed to ensure that the new changes do not affect existing functions. Continuous deployment (CD) extends continuous integration (CI) by automating the process of deploying code changes. There are two main forms:

• Continuous delivery: After successful testing, the code is transferred to a repository, from where it can be manually transferred to the production environment.
• Continuous deployment: Here, the code is automatically transferred to the production environment after successful testing.

CI/CD is used in many areas of IT, including:

• Web development: Automated testing and deployments enable new features and bug fixes to be released quickly and reliably.
• Mobile app development: Regular updates and rapid bug fixes are easier to manage with CI/CD.
• Cloud services: CI/CD pipelines help to provide continuous updates and improvements to cloud-based services.

Hyper-personalization through AI

By analyzing data and recognizing patterns, AI can accurately predict individual customer preferences and behavior. This enables companies to develop tailored offers and personalized communication that are precisely tailored to the needs and wishes of their customers. Hyper-personalization not only increases customer satisfaction, but also customer loyalty and sales. To realize the full potential of hyper-personalization and deliver an outstanding customer experience, companies need to adapt their IT infrastructure accordingly. This includes integrating advanced data analytics tools, ensuring data security, and building flexible, scalable systems. It is also important that IT teams have the necessary skills and knowledge in the areas of AI and data analytics.

Protection against cyberattacks and compliance with new regulatory requirements

Cybercrime is on the rise. Effective protection against cyberattacks targeting sensitive data and systems requires a combination of advanced technologies, such as firewalls and encryption, as well as regular employee training to promote security awareness. In addition, companies will have to comply with new regulatory requirements in 2025 relating to data protection and cybersecurity. These include the EU NIS-2 Directive, DORA, and the Cyber Resilience Act, all of which aim to increase resilience against cyberattacks and introduce stricter reporting requirements for security incidents. Timely compliance with these legal requirements means companies need to act now and put the necessary operational measures in place.

A data lake is a central repository that collects and stores large amounts of data in its original form. This data can be structured, semi-structured, or unstructured, such as database tables, XML files, images, or tweets. Data lakes offer a flexible and scalable solution for storing and analyzing large amounts of data, helping companies make data-driven decisions and drive innovation.

Uses and applications of data lakes:

1. Data analysis: Data lakes enable complex analyses, including big data analytics and machine learning.
2. IoT data management: They store and process continuous data streams from IoT devices.
3. Real-time data processing: Data lakes can process real-time data, which is useful for applications such as fraud detection or stock market forecasting.
4. Data archiving and compliance: They serve as a long-term archive for historical data and help with regulatory compliance.
5. Data science exploration: Data scientists can explore different data sets and test new models.

Data mesh, Snowflake, and data-driven decisions

In the modern data world, data mesh, Snowflake, and data-driven decisions are of central importance. Data mesh is revolutionizing data architecture by decentralizing data responsibility and empowering domain-specific teams to manage their data products independently. This promotes agility and scalability. Snowflake offers a powerful, cloud-based data platform that enables companies to store, analyze, and share data securely and efficiently. Data-driven decisions leverage these technologies to make informed, evidence-based decisions that create competitive advantages and drive innovation. Together, they form the backbone of a successful data strategy.

Further development of DevOps and agile methods

The further development of DevOps and agile methods is crucial for modern software development and business success. DevOps promotes close collaboration between development and administration teams, resulting in faster and more reliable software releases. Agile methods, such as Scrum and Kanban, enable teams to respond flexibly to change and make continuous improvements. By integrating DevOps and Agile, companies can shorten their development cycles, increase the quality of their products, and respond more quickly to customer requirements. In addition, these methods promote a culture of continuous improvement and innovation, which increases competitiveness. Overall, DevOps and Agile help maximize the efficiency and effectiveness of development processes.

Using digital twins for simulations and optimizations

Edge computing refers to decentralised data processing at the edge of the network, i.e. close to the data source, rather than in central data centres. This means that data is processed directly where it is generated, resulting in faster response times and lower latency, as well as reducing dependence on central cloud services. Edge computing thus improves the performance and efficiency of applications, e.g.

• Autonomous driving: Vehicles process data in real time to make quick decisions and increase safety.
• Industrial automation: Sensors and devices monitor and control production processes on site, enabling rapid response to events.
• Smart cities: Data from sensors is processed in real time to optimise traffic flows and monitor environmental conditions.
• Healthcare: Medical devices and sensors process data in real time, enabling faster diagnosis and treatment.

End-to-end processes (E2E) refer to business processes that encompass all steps and activities from start to finish. These processes cover a company's entire value chain and ensure that all phases mesh seamlessly. An end-to-end process typically begins with the initial customer interaction and ends with the final delivery of the product or service to the customer. All intermediate stages, such as ordering, production, delivery and customer service, are taken into account. End-to-end processes are used in many areas of IT, including:

• E-commerce: From browsing and ordering a product to delivery and returns. One example is the order-to-cash (OTC) process, which covers all steps from ordering to payment.
• Software development: From requirements gathering, development and testing to deployment and maintenance of the software. This integrates all phases of the software development life cycle.
• Customer support: From the customer's initial contact with the support team to the resolution of the problem and follow-up. This includes all steps necessary to ensure high customer satisfaction.

Financial management in the cloud

FinOps, a combination of financial and operational management, enables companies to efficiently manage and optimize their cloud spending. FinOps allows companies to make costs transparent, plan budgets better, and use resources in a targeted manner. This leads to better control and predictability of spending. FinOps also promotes collaboration between finance and IT teams, resulting in more efficient use of cloud resources. Overall, FinOps helps ensure the financial stability and competitiveness of companies in the cloud era.

Full-stack development refers to the ability to develop both front-end and back-end components of an application.

Digitization and networking in production

ISO 27001 is an internationally recognized standard for information security management systems (ISMS).

It provides a systematic approach to protecting sensitive information by defining requirements for the implementation, monitoring, maintenance, and continuous improvement of an ISMS. Companies that implement ISO 27001 can better manage their information security risks and ensure the confidentiality, integrity, and availability of data. ISO 27001 is particularly important for corporate IT departments, as they are responsible for protecting large amounts of sensitive data. ISO 27001 certification is verified through regular audits and offers companies numerous advantages, especially in the area of IT:

1. Improved information security: By implementing an information security management system (ISMS) in accordance with ISO 27001, companies improve their security practices and ensure that confidential information is protected.
2. Minimization of IT risks: In order to become ISO 27001 certified, measures must be established that proactively identify and ward off threats: Risks and potential damage are identified and reduced.
3. Compliance with legal requirements: ISO 27001 helps companies meet legal and regulatory requirements, minimizing legal risks.
4. Competitive advantage: Companies with ISO 27001 certification stand out from the competition. This shows potential customers and partners that the company has robust security measures in place.
5. Trust and credibility: Certification signals to customers and partners that the company is serious about the security of their information, which builds trust.
6. Cost savings: By reducing IT risks and establishing efficient processes, potential costs can be minimized.

Strategies for Ensuring Business Continuity

Java is one of the world's most widely used programming languages and platforms.

It was developed to be platform-independent, which means that Java applications can run on different operating systems without modification. This feature makes Java particularly attractive to companies that need flexible and scalable solutions. The language's stability and security make it ideal for developing enterprise applications. Java is often used in areas such as application development, web development, mobile applications, big data, and cloud computing. Its extensive library and large developer community support rapid application development and maintenance. In addition, Java's object-oriented structure facilitates code reuse and integration into existing systems.

Kubernetes is an open-source platform for orchestrating containers, originally developed by Google. It automates the deployment, scaling and management of containerised applications. Kubernetes enables applications to be run in containers that can operate in various environments, such as on-premises, public cloud or hybrid cloud. Kubernetes is relevant for

• Microservices architectures: Kubernetes is often used to manage microservices because it facilitates the scaling and management of individual services.
• Continuous integration/continuous deployment (CI/CD): Kubernetes supports CI/CD pipelines by automating the deployment and rollback of applications.
• DevOps: Kubernetes is a key tool in DevOps environments, as it improves collaboration between development and operations teams and speeds up application deployment.
• Cloud-native applications: Kubernetes is ideal for cloud-native applications that run in containers and require high availability and scalability.
• Big data and machine learning: Kubernetes can be used to orchestrate big data and machine learning workloads by automating resource allocation and scaling.

Modernization and integration of old IT systems

Legacy systems are outdated but still used systems and technologies that are often difficult to replace or modernize, yet support critical business processes. Since they usually no longer meet modern security standards, they often pose a significant security problem. Nevertheless, they form the backbone of many processes and contain valuable data and functions. The challenge is to modernize these systems without disrupting ongoing operations. A well-thought-out legacy strategy enables companies to leverage the benefits of new technologies while ensuring the stability and security of existing systems. This requires careful planning to minimize risks and facilitate the integration of new solutions. Ultimately, a successful legacy strategy can significantly increase a company's innovative capacity and competitiveness.

Microsoft Dynamics 365 is a suite of intelligent business applications that helps organisations manage their entire business processes and achieve better results through predictive, AI-driven insights. Dynamics 365 combines customer relationship management (CRM) and enterprise resource planning (ERP) in a single platform. It offers a variety of applications that work together seamlessly and can be easily integrated into existing systems. The most important modules include Dynamics 365 Sales, Customer Service, Finance, Supply Chain Management and Business Central. Dynamics 365 is used in many areas of IT and business life:

• Sales and marketing: Dynamics 365 Sales and Marketing help companies maintain customer relationships, optimise sales processes and personalise marketing campaigns.
• Customer service: Dynamics 365 Customer Service enables companies to provide their customers with outstanding service by efficiently managing support requests and delivering solutions faster.
• Financial management: Dynamics 365 Finance helps companies manage their finances, automate financial processes, and comply with legal regulations.
• Supply chain management: Dynamics 365 Supply Chain Management helps companies optimise their supply chains, manage inventory, and increase efficiency.
• Small and medium-sized enterprises (SMEs): Dynamics 365 Business Central offers a comprehensive ERP solution tailored specifically to the needs of SMEs, helping them to integrate and automate their business processes.

Optimizing reliability and compliance

Multi-cloud and hybrid cloud solutions play a crucial role in optimizing reliability and compliance in modern IT infrastructures. By using multiple cloud providers, companies can minimize the risk of outages because services are distributed across different platforms. This increases availability and ensures that a failure at one provider does not affect the entire operation. In addition, hybrid cloud solutions enable flexible data management, with sensitive data stored locally and less critical data processed in the cloud. This supports compliance with data protection regulations and other compliance requirements, as companies can retain control over their data while still enjoying the benefits of the cloud.

Natural Language Processing (NLP) is a branch of computer science and artificial intelligence (AI) that deals with the interaction between computers and human language. NLP enables computers to understand, interpret, and generate human language.

NLP facilitates communication between humans and machines and is used in many areas, from customer service to data analysis, including:

1. Voice assistants: Systems such as Amazon Alexa, Apple Siri, and Google Assistant use NLP to understand and respond to spoken commands.
2. Text analysis: NLP helps analyze large amounts of unstructured text data, such as customer reviews or social media posts, to identify patterns and trends.
3. Machine translation: Tools such as Google Translate use NLP to translate text from one language to another.
4. Chatbots: Companies use NLP to develop chatbots that can automatically respond to customer inquiries.
5. Sentiment analysis: This technique is used to recognize the mood in texts.

Protecting industrial control systems and critical infrastructure

Operational technology (OT) security refers to the protection of industrial control systems and critical infrastructure from cyberattacks. These systems control physical processes in areas such as energy supply, water treatment, and manufacturing. Since a successful attack on OT systems can have serious consequences—including production downtime, environmental damage, and threats to public safety—OT security is crucial to ensuring the integrity and availability of these systems. By implementing security measures such as network segmentation, continuous monitoring, and regular security reviews, companies can better protect their OT systems and minimize risks.

Penetration testing, also known as pen testing or ethical hacking, is a process in IT security that involves simulating cyber attacks on a computer system, network or web application. The aim is to identify vulnerabilities that could be exploited by malicious attackers. Penetration tests help to evaluate and improve the security of a system. Penetration tests are an essential part of a comprehensive security concept and help companies to protect their IT infrastructures against potential threats. Relevant areas of application are:

• Network security: Checking firewalls, routers and switches for vulnerabilities and identifying open ports and insecure network protocols.
• Web applications: Testing websites and web applications for vulnerabilities such as SQL injection, cross-site scripting (XSS) and cross-site request forgery (CSRF), as well as checking the security of APIs and web services.
• Mobile applications: Analysis of mobile apps for security gaps that could arise from insecure data transmission or insufficient protection of sensitive data.
• Cloud security: Evaluation of the security configurations of cloud services and infrastructures, as well as checking access rights and data encryption in the cloud.
• Social engineering: Simulated attacks that exploit human vulnerabilities, e.g. through phishing or pretexting.
• Physical security: Testing physical security measures, such as access controls and surveillance systems, to prevent unauthorised access to IT infrastructures.

The PMBOK (Project Management Body of Knowledge) is a comprehensive guide that summarizes best practices and standards in classic project management.

It is published by the Project Management Institute (PMI) and serves as a reference work for project managers. PMBOK offers a structured approach that enables companies to manage projects efficiently and successfully.

PMBOK is particularly valuable in the field of IT, as IT projects are often complex and resource-intensive. By applying the methods described in PMBOK, IT departments can better manage risks, optimize resource utilization, and ensure that projects remain on schedule and within budget. PMBOK also promotes communication and collaboration within the project team and with stakeholders, leading to higher satisfaction and better project execution.

Prince2 (Projects in Controlled Environments) is a proven method of classic project management that helps companies manage projects in a structured and successful manner.

This method offers clear processes and roles that are defined from the initiation to the completion of a project. For companies, this means improved control, transparency, and a higher success rate for projects. Prince2 is particularly important in IT. IT projects are often complex and require precise planning and control.

By applying Prince2, companies can better manage risks, use resources efficiently, and ensure that projects remain on time and within budget. The method also promotes communication and collaboration within the project team and with stakeholders, leading to greater satisfaction for all involved. Overall, Prince2 supports IT companies in implementing their projects in a systematic and targeted manner, thereby achieving their business goals.

Python is a versatile, easy-to-read and easy-to-understand scripting language.

It supports multiple programming paradigms, including object-oriented, procedural, and functional programming. Python is often used for web development, data analysis, artificial intelligence, scientific computing, and automation. Python facilitates application development through its simple syntax and extensive standard library, as well as a large number of third-party libraries and frameworks. In addition, as a scripting language, Python is platform-independent, which means that applications can be interpreted at runtime and run on different operating systems without modification. Python simplifies software development and maintenance and is often used for scripting and automation, which increases the efficiency of IT departments. Python is therefore a preferred language for data science and machine learning, helping companies make data-driven decisions and develop innovative solutions.

Preparing for quantum computing challenges

Quantum computing is revolutionizing the way companies can solve complex problems. Unlike classical computers, which process information in bits, quantum computing uses qubits, which can assume multiple states simultaneously. This enables an exponential increase in computing power, calculations that are not possible with classical computers, and opens up new possibilities in areas such as optimization, machine learning, and cryptography. This enables companies to develop more efficient algorithms, perform complex simulations faster, and use more secure encryption techniques. Quantum computing offers the potential to shorten innovation cycles and gain competitive advantages, particularly in pharmaceutical research, financial analysis, and logistics.

RESTful Services (Representational State Transfer) are web-based APIs.

They are based on HTTP protocols and enable data exchange between systems. They use simple HTTP methods such as GET, POST, PUT, and DELETE to create, read, update, and delete resources. RESTful services are easy to implement and scale, which facilitates the integration of different systems and applications. They promote interoperability and flexibility because they are compatible with different programming languages and platforms. This enables companies to make their IT infrastructures more efficient and agile. RESTful services are of great importance because they provide a standardized method of communication between different systems and applications. They support the development of microservices architectures that divide applications into smaller, independent services. This leads to better maintainability and scalability of software solutions. Overall, RESTful services help increase the efficiency and flexibility of IT departments and promote the innovative capacity of companies.

The Scaled Agile Framework (SAFe) is an agile framework designed specifically for scaling agile practices in larger organisations. It is based on the pillars of team, programme and portfolio and offers flexibility for product teams. SAFe integrates proven agile methods such as Lean, Kanban, Scrum and XP to promote flexibility, iteration and collaboration. Relevant applications of SAFe are:

• Coordination of large teams: SAFe helps with coordination and collaboration between multiple large teams working on complex projects. This is particularly useful in IT departments of large companies, which often have many cross-functional teams.
• Improved quality and transparency: By implementing SAFe principles such as integrated quality assurance and transparency, IT teams can ensure that the quality of the software delivered remains high and that problems are identified early on.
• Faster time to market: SAFe enables IT teams to respond more quickly to market changes and bring products to market faster. This is achieved through regular feedback loops and continuous improvement.
• Strategic alignment: At the portfolio level, SAFe helps align IT strategy with the company's business objectives. This ensures that IT investments deliver the greatest business value.
• Scalable solutions: SAFe provides a structured method for scaling agile practices, which is especially important as IT departments grow and become more complex.

Salesforce is a leading cloud-based platform for customer relationship management (CRM).

It offers a wide range of applications for managing customer relationships, sales, marketing, service, and more. Salesforce enables companies to centrally manage and analyze all customer interactions, leading to improved customer loyalty and satisfaction. The cloud-based nature of Salesforce allows companies to easily scale and be flexible. They can quickly adapt their CRM solutions to changing business needs without having to invest in expensive IT infrastructure. In addition, Salesforce improves efficiency and productivity by providing automated workflows and processes that reduce manual tasks and give employees more time for value-added activities. Salesforce also promotes collaboration within the company. With features such as Chatter, teams can communicate and exchange information in real time, which speeds up decision-making. Salesforce also offers comprehensive analytics tools that help companies gain valuable insights into their business processes and make informed decisions.

SAP S/4HANA stands for “SAP Business Suite 4 SAP HANA.” SAP S/4HANA is intelligent enterprise resource planning (ERP) software developed by SAP SE. It uses the SAP HANA in-memory database to analyze and standardize business processes in real time. SAP S/4HANA is the fourth generation of SAP's ERP suite and offers a modern, user-friendly interface called SAP Fiori. The software can be deployed both on-premises and in the cloud and supports companies in their digital transformation by integrating machine learning and artificial intelligence. SAP S/4HANA enables

• Real-time data processing: Fast and informed decisions through real-time analytics.
• Simplified processes: Reduction of IT landscape complexity and simplification of business processes.
• Scalability: Flexible adaptation to the needs of companies of different sizes and industries.

To successfully implement SAP S/4HANA, companies must meet certain requirements:

• Technical infrastructure: A powerful IT infrastructure is necessary to support the in-memory database and real-time analysis functions.
• Data migration: Migrating existing data from older systems (such as SAP ECC) to SAP S/4HANA requires careful planning and execution.
• Training and change management: Employees must be trained in how to use the new software, and effective change management must be implemented to promote acceptance.
• Security requirements: Since SAP S/4HANA often processes business-critical data, strict security protocols and data protection measures must be followed.

Migration to S/4HANA

The transformation of existing SAP infrastructures to SAP S/4HANA is essential for companies to remain competitive and master future challenges. S/4HANA offers a modern, powerful platform that enables real-time data processing and analysis. This leads to faster, more informed decisions and optimized business processes. In addition, S/4HANA supports the integration of new technologies such as artificial intelligence and the Internet of Things, which promotes innovation. The transition to S/4HANA is also necessary because support for older SAP versions is expiring, which entails security risks and higher operating costs. Companies that switch to S/4HANA early on thus secure a strategic advantage.

SAS (Statistical Analysis System) is a powerful software suite for data analysis, business intelligence, and data management.

It is used by companies worldwide to analyze large amounts of data and make informed decisions. SAS offers a variety of tools and functions that enable data to be collected, processed, and visualized. SAS plays a crucial role in IT, as IT companies often work with large and complex data sets. By using SAS, IT teams can efficiently analyze data, identify patterns, and gain valuable insights. This supports the optimization of business processes, the improvement of customer loyalty, and the development of new products and services. SAS also promotes collaboration between different departments by providing a common platform for data analysis.

Scrum is an agile framework that is often used for agile software development. Scrum promotes continuous improvement and adaptation, which is particularly advantageous in the dynamic world of IT. Scrum is based on three main roles:

• Product Owner: Responsible for maximising the value of the product and managing the product backlog.
• Scrum Master: Supports the team in understanding and implementing Scrum and removes obstacles.
• Development Team: An interdisciplinary team that does the actual work and translates requirements into functional software.

Regular reviews and adjustments enable teams to respond quickly to changes and continuously improve the quality of the software. The process is divided into sprints, which usually last two to four weeks.

Each sprint includes the following events:

• Sprint Planning: The team plans the work for the upcoming sprint.
• Daily Scrum: A short daily meeting to discuss progress and identify obstacles.
• Sprint Review: At the end of the sprint, the results are presented and feedback is gathered.
• Sprint Retrospective: The team reflects on the past sprint and identifies opportunities for improvement.

In IT, sensors refer to the use of sensors to detect and monitor physical or chemical variables, which are then converted into electronic signals and processed by IT systems. Sensors make it possible to collect data from the physical world and convert it into digital information that can be used for various applications. Sensors are an integral part of modern IT systems and contribute significantly to efficiency and security in various applications:

• Automation technology: Sensors are used to monitor and control machines and processes. They collect data such as temperature, pressure and movement, which is then processed by IT systems to make automated decisions.
• Environmental monitoring: Sensors help monitor environmental conditions such as air quality, water quality and weather data. This information is collected and analysed in IT systems to track and respond to environmental changes.
• Medical technology: Sensors are used to monitor vital signs such as heart rate, blood pressure and blood sugar levels. This data is processed in IT systems to monitor and improve patient health.
• Internet of Things (IoT): Sensors are an essential part of the IoT, as they collect data from various devices and systems and send it to IT platforms. This data is analysed to make intelligent decisions and improve efficiency.
• Security systems: Sensors are used in security systems to detect movement, noise and other anomalies. This information is processed in IT systems to activate security measures and prevent threats.

Energy-efficient computing and sustainable IT strategies

The rising energy consumption of their IT infrastructure and the associated costs are forcing companies to seek more efficient solutions. This includes implementing optimized software and energy-efficient hardware that consumes less power and lasts longer. Companies are also turning to virtualization and cloud solutions to optimize server utilization and thus reduce energy consumption, operating costs, and environmental impact.

Tableau is a powerful visualization software

It enables companies to convert data into interactive and easy-to-understand dashboards and reports. It supports a wide range of data sources and offers user-friendly drag-and-drop functions. Tableau makes data analysis and visualization easier for companies, leading to better and faster decisions. The interactive dashboards make it easy to identify complex data patterns and trends. Tableau also promotes collaboration, as reports and dashboards can be easily shared and used together. Overall, Tableau helps companies make data-driven decisions and increase their efficiency.

Applications in training and customer interactions

Virtual Reality (VR) and Augmented Reality (AR) are revolutionizing training and customer interactions. In training and education, they enable learning environments in which complex scenarios can be simulated realistically. This promotes a deeper understanding and better preparation for real-life situations. In customer interaction, AR and VR offer innovative ways to present products and services. Customers can take virtual tours, view products in 3D, and enjoy interactive experiences that increase engagement and satisfaction. These technologies open up new dimensions of communication and learning.

Implementation of Zero Trust Architectures

The implementation of Zero Trust architectures is crucial for companies to meet modern security requirements. Unlike traditional security models, which are based on the principle of trust within the network, Zero Trust assumes that no user and no device is trustworthy per se. Every access to company resources is continuously verified and authenticated. This minimizes the risk of security breaches, as potential threats can be detected and isolated at an early stage. Zero Trust Security protects sensitive data and systems from internal and external attacks and increases transparency and control over data traffic. Companies benefit from a more robust security infrastructure that can respond flexibly to new threats and supports compliance with data protection regulations.