Artificial intelligence —
even before ChatGPT
We have been working with generative AI for 25 years
Machine learning
The transformative power of self-learning AI systems
At its core, AI is based on machine learning, a branch of computer science that enables computers to learn from data and identify patterns or trends without being explicitly programmed. A central concept in AI is the neural network, inspired by the functioning of the human brain.
These networks consist of layers of artificial neurons that are interconnected and capable of processing information. By training on large datasets, these neural networks can recognize patterns and solve complex problems, such as image recognition, speech recognition, or predictive analytics.
Capabilities of AI
Discover the potential of AI-powered systems
Use AI as a powerful tool
AI helps you optimize your processes, make data-driven decisions, and develop innovative solutions.
30% higher customer satisfaction
AI enables the delivery of personalized and tailor-made products and services.
50% profit maximization
AI systems can identify new business opportunities, reduce costs, and increase revenue.
Data analysis and prediction
AI technologies enable companies to analyze large amounts of data and identify patterns that would be difficult for human analysts to detect. By applying machine learning algorithms, precise predictions can be made to support decision-making and anticipate future developments.
Process automation
AI-based automation solutions can automate repetitive tasks and make workflows more efficient. From automated data processing and customer communication to production management, companies can use AI to increase operational efficiency and free up resources to focus on more strategic tasks.
AI applications in business
AI: a driver of opportunity and innovation, not a job killer
Artificial neural networks (ANNs) in healthcare
Artificial neural networks are a fundamentally important AI algorithm inspired by the functioning of the human brain. They are used in a wide range of applications, including image recognition, natural language processing, machine learning, and deep neural networks. In healthcare, ANNs assist with diagnosing diseases from medical images. In finance, they help detect fraud by analyzing transaction data.
Genetic algorithms in logistics and robotics
Genetic algorithms mimic the process of natural evolution to find optimal solutions for complex problems. In logistics, genetic algorithms can help calculate the most efficient route for transporting goods, optimizing costs and delivery times. In robotics, they are used to improve robot movement and navigation.
Support vector machines (SVM) for pattern recognition and classification
SVM algorithms are used for pattern recognition and classification. In the security sector, they can help detect suspicious behavior and identify potential threats early. SVMs are also used in medicine to classify diseases and develop personalized treatment plans.
Strengths
Make smart decisions with
our AI consulting
We support you in the use of data science and AI — from identifying suitable application areas, selecting the right technologies, to developing your data and AI strategy.
Artificial intelligence
Identification of AI applications
We support you in identifying, evaluating, prioritizing, and concretizing use cases for data science and artificial intelligence.
Data
Building data architecturesy
To work effectively with your data, we help design, evaluate, and successfully implement suitable data architectures.
Strategy
Development of a data and AI strategy
Using our strategy framework, we analyze your current situation, define a target vision together, and create a strategic roadmap.
Artificial intelligence
Organizational structure
We assist in identifying, evaluating, prioritizing, and concretizing use cases for data science and AI.
Data
Implementation of change measures
When introducing new AI solutions, our AI consultants support the adaptation of processes and structures, as well as the reduction of reservations.
Strategy
Establishing governance structures
To minimize the risks of your AI solutions and improve data quality, we help build compliance and governance structures.
AI Trainings
Interactive and customized AI courses and workshops
Data literacy training
The ability to use data effectively is fundamental for the future viability of companies. In this training, participants learn to read, understand, and communicate insights from data.
Understanding artificial intelligence
The ability to use data effectively is fundamental for the future viability of companies. In this training, participants learn to read, understand, and communicate insights from data.
Data Science – Quick & Fast
This two-hour course is an interactive introduction to the world of artificial intelligence, highlighting use cases and business models in the field of AI.
netTrekLabs
AID – local AI-powered knowledge management system
“AID = Artificial Intelligence Documents” is our pioneering AI solution, specifically developed to collect and analyze information from a variety of local data sources without relying on internet access. This innovative AI platform can extract and process data from various formats, such as PDFs, Word documents, CSV files, and more.
Continuous learning cycles
Another key feature of “AID” is its learning capability. Through continuous learning cycles and feedback mechanisms, the AI constantly improves its knowledge and skills, adapting to changing data patterns. This allows “AID” to evolve and maintain consistently high performance while minimizing the risk of “hallucinated” or erroneous outputs.
Independent evaluation
What sets “AID” apart from other AI systems is its ability to evaluate the quality of its own answers. By applying advanced analysis techniques, “AID” can assess the accuracy of the information it extracts and ensure that only relevant, precise results are delivered. This maximizes reliability and reduces the risk of incorrect or misleading outputs.