IT trends 2025 Part 2: Data Intelligence & AI-Technical-bound into practice

In the first part of our blog series we took a look at the developments in the areas of managed services and cloud. But one of the most influential driving forces of digital transformation remains artificial intelligence (AI) and Data Intelligence. Today, companies generate more data than ever – but only those who use them intelligently can prevail in competition. From AI-based data analysis to automated decision-making processes to new regulatory requirements-in this article we consider the central developments that will determine the year 2025 in the world of Data Intelligence and AI.

The results of the Lünendonk Blitzkmay 2024 lists as a “review and outlook on the German B2B service markets” The development and introduction of (generative) KI, data analytics, cloud transformation, process automation, cyber security, IT compliance, managed services and IT modernization as central demand topics IT service providers for 2025.

In this three-part blog series we take a look at the most important trends for 2025. We show you how you benefit from the latest developments in the following areas:

In the second part of our blog series, we focus on the trends in the areas of Data Intelligence & AI. Part 3 follows in a week and is then linked here. Here you can read the first part of Managed Services & Cloud.

Table of contents

Data Intelligence & AI: What organizations have to do now to be successful

The prediction of what happens to AI in 2025 may be fascinating, but is not very relevant in practice for companies in 2025. The question of when general artificial intelligence comes is answered incorrectly every January!

The much more crucial question is how companies can create real (business) added value with the current AI technologies and secure competitive advantages. Here are the central trends and measures that make the difference in 2025:

Demonstration of the (business) added value of AI

Despite the rapid progress, the benefit of AI is still inadequate in many organizations. It is not enough to present AI systems as “cool” or innovative-the focus must be on how to provide measurable results. It is important to prove concrete advantages such as cost reductions, sales increases and efficiency gains. In addition, defined key figures (KPIS) should be used from the start to objectively evaluate the contribution to value creation.

Without a convincing representation of the added value, it can be difficult to promote internal acceptance and to compete.

Lack of Talent: Setting up a AI-capable organization

In 2025 there is a blatant lack of substance in many companies, since too much is talked about AI and too little implemented.

This includes building data infrastructures and platforms that ensure stable data pipelines. Specialists who convey between technology and business are also decisive. These so-called “translation rolls” ensure that AI projects are strategically relevant. In addition, employees in various areas should have a fundamental understanding of the functionality of AI so that they can recognize and use potential independently.

“Success with AI in 2025 does not depend on waiting for the next technologierevolution, but on how well companies use today's possibilities. A clear focus on management, data, talent development and trust will decide on success or failure. Organizations that now invest, act and use AI will be the winners of the next few years. ” – Christoph Hoffmann, Head of Data Solutions & AI

Create trust: investments in governance and transparency

Trust is the key to successful AI adaptation. Companies must ensure that the development and use of AI systems with their own values ​​and goals is in line. This requires the implementation of clear governance guidelines and surveillance mechanisms that ensure responsible commitment. Transparency is equally important: users and stakeholders expect understandable explanations for decisions made by AI systems. Black box models without an explanation are increasingly being seen critically.

Investments in data strategy and integration

The basis of successful AI projects is high-quality, well-accessible and integrated data. Companies should therefore work to break up internal data silos and bring together databases in a sensible manner in order to enable scalable AI solutions. Particular attention should be paid to ensuring quality and relevance in order to ensure precise results and forecasts.

AI Ordinance: Preparation for regulatory requirements

With new legal regulations, such as the obligation to impart AI competence from February 2025, companies are under pressure to act. A complete overview of all AI systems used helps to meet compliance requirements and minimize risks. In addition, training measures are necessary in order to prepare employees for compliance with legal guidelines and to avoid possible punishments as well as loss of reputation.

Generative AI in industries with high document load

Generative KI (Genai) remains a central growth area, especially in sectors with intensive document processing and customer interaction. The automation of processes such as the creation of reports or customer communication is significantly improved by generative AI. However, an isolated use of such technologies is rarely sufficient. In order to achieve sustainable advantages, companies have to integrate generative AI strategically and holistically into their processes.

Develop industry-specific AI solutions

In 2025, it is no longer about individual proof-of-concepts or generic applications. The key is one Strategic focus. Companies should identify use cases that offer the highest return on investment (ROI) in their industry. Anyone who differentiates themselves in this way and focuses on industry -specific challenges can get a significant competitive advantage.

“CIOS will focus in the next year to document the entire scope of AI use. It is to be passed on by the AI ​​experiment phase for monetization. A solid basis will be crucial to automatically measure and optimize AI applications. So IT modernization is to be mastered in all companies. ” -The 10 most important IT trends for 2025

Conclusion

The most important trends 2025 in the areas of data intelligence & ai are the specification of the Business added value From AI in companies and the establishment of AI competence within an organization. Specific generative KI is a central area that pays off particularly with intensive document processing and customer interaction. A Strategic focus is the key to the long -term successful use of artificial intelligence.

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