01. Quantum AI: This technology not only offers new possibilities in data processing, but also raises questions regarding the security of existing encryption methods. IT executives must prepare for the security challenges that come with quantum computing.

02. Digital transformation: This enables companies to optimize processes and develop new business models. Efficiency and agility can be increased through the use of cloud solutions, AI, and big data. Investments in modern technologies and employee training lead to improved decision-making processes and increased customer satisfaction. This transformation increases company value through innovation, competitiveness, and long-term success in the digital age.

03. NIS2 Directive: This requires a comprehensive review and improvement of cybersecurity strategies, including the implementation of stricter security measures and reporting requirements. Companies must invest significant resources in improving their IT infrastructure and training their employees to comply with the new regulations, while continuing to maintain and secure existing systems.

04. AI Act: It requires companies to increase transparency and security when developing AI models. They must minimize bias and conduct rigorous testing for high-risk systems. This requires extensive adjustments to development processes and additional resources to comply with legal requirements.

05. SAP conversions: The official discontinuation of SAP Business Suite 7 (R/3) will require significant adjustments. Although companies can use extended maintenance until the end of 2030, a switch to SAP S/4HANA is inevitable. This change requires a fundamental overhaul of business processes, comprehensive testing and training, and significant investments in new software and infrastructure. Companies must ensure that their data integrity is maintained and their IT systems are harmonized. Despite the effort and resources required, this step is crucial to remaining competitive in the digitalized world of “Industry 4.0.”

In short: The discontinuation of SAP Business Suite 7 (R/3) by 2030 is forcing companies to switch to SAP S/4HANA. This requires a comprehensive overhaul of business processes, testing, training, and significant investment. Companies must ensure data integrity and harmonize IT systems. Despite the effort involved, this step is crucial to remaining competitive in the digital “Industry 4.0” era.

06. ESG: The integration of ESG criteria in the IT industry is crucial. Sustainable practices such as energy-efficient data centers and renewable energies reduce the ecological footprint. Social responsibility is reflected in fair working conditions and data protection. Good governance includes ethical standards and transparent processes. ESG criteria strengthen the long-term economic success and reputation of IT companies.

Or like this: Companies must use sustainable technologies to reduce energy consumption and CO2 emissions. Social responsibility includes protecting employee rights, diversity, and data protection. Strong governance ensures that ethical standards are upheld and business processes are transparent. By implementing ESG principles, IT companies can improve their environmental footprint, take on social responsibility, and remain successful in the long term.

07. Data management: A sound understanding of company data is essential. Correct data collection and processing form the basis for sound decisions and AI developments. High-quality data enables pattern recognition, process optimization, and innovation, thereby strengthening competitiveness and business success in the long term.