IT Trends 2025: Focus on AI, Proactive Data Utilization, and Distributed Computing Power

Lakeside Software Releases Forecasts for the AI-Driven Year 2025

Lakeside Software, a leading company in IT Data Intelligence, has identified the key trends for 2025 that will fundamentally transform the IT industry.

According to Alexander Laubert, Director DACH at Lakeside Software, technological advancements such as AI-driven automation, self-healing systems, and the integration of high-performance computing are at the core of this transformation. He summarizes these trends and their impacts as follows:

Data-Driven Efficiency and Responsible AI Usage

In 2025, CIOs will increasingly promote proactive data collection to break down silos and accelerate business growth. By leveraging advanced analytics and artificial intelligence, data from various sources – such as IoT devices and user interactions – can be captured in real-time. This strategy boosts operational efficiency and provides businesses with valuable insights into trends, customer preferences, and market opportunities. The goal: enabling companies to respond quickly to insights, drive innovation, and secure competitive advantages.

At the same time, managing shadow AI will become a central challenge. Shadow AI refers to the uncontrolled use of AI tools without formal IT department approval. These systems pose significant risks, including data breaches and regulatory violations, especially when using open-source AI with potentially sensitive data. Companies must therefore revise their governance models to create safe frameworks for AI usage while maintaining data integrity. Employee training should be prioritized to raise awareness of professional AI handling.

This comprehensive data utilization strategy and responsible AI use allow companies to establish a culture of data-driven decision-making and adapt flexibly to market changes – a crucial advantage in an increasingly dynamic business environment.

More Efficient IT Support Processes and Enhanced User Experience

The advancement of AI, automation, and self-healing technologies will significantly improve IT support processes in 2025. Routine tasks like patch deployment and system restarts can be automated, relieving Level-1 technicians. This allows them to focus on more complex challenges and strategic tasks, enhancing their role within the company and enabling more proactive IT support. Companies should prioritize the training of these technicians to fully leverage this transformation.

Self-healing systems and advanced monitoring solutions also enhance the digital user experience. By automatically diagnosing and fixing issues at touchpoints such as POS systems and mobile applications, every interaction remains seamless and reliable. If self-healing is not possible, monitoring solutions provide IT teams with the necessary transparency to quickly resolve disruptions. This proactive approach promotes employee and customer satisfaction and strengthens customer loyalty.

The Next Generation of AI Computers and the Rise of TOPS

With the advancement of AI PCs and distributed computing power, 2025 marks a new chapter in data processing. AI PCs enable a personalized user experience through machine learning by analyzing user behavior and adjusting settings in real-time. They handle routine tasks like resource allocation and system updates, boosting productivity and allowing users to focus on core tasks. Furthermore, AI PCs pool the computing power of multiple devices, creating a powerful, decentralized environment that supports latency-sensitive applications and real-time collaboration.

With the rise of TOPS (Trillions of Operations Per Second), companies can achieve an entirely new level of performance – a critical success factor for AI, machine learning, and real-time analytics. To fully exploit the benefits of TOPS, companies need to optimize their infrastructure and workload distribution. These high-performance computers provide a vital foundation for companies to remain innovative and secure competitive advantages in an increasingly digital world.

At the same time, these technologies promote resource efficiency and support sustainability. AI PCs and distributed computing reduce energy consumption and operational costs by intelligently distributing tasks across a network. Advanced security frameworks also ensure higher data protection standards, as sensitive data can be processed locally, minimizing the risks associated with data transfers.