AI en ML Engineering
Higher quality and lower costs through the power of data
What is AI & ML Engineering?
The difference between AI and Machine Learning Engineering
AI, or artificial intelligence, is a broad field focused on developing systems that can perform tasks typically requiring human intelligence, such as speech recognition, decision-making, and visual perception. AI encompasses various approaches, including rule-based systems, deep learning, and machine learning (ML), all contributing to creating intelligent systems.
Machine Learning Engineering is a specific branch within AI that focuses on building and deploying models that learn from data and improve through experience. While AI is an overarching term, machine learning is a technique within AI.
In short: AI is the science of developing systems that exhibit intelligent behavior, while Machine Learning Engineering focuses on creating and implementing algorithms that use data to learn and improve.
Our approach
Our 4D-proces – Discover, Design, Develop, Drive – Provides a structured approach for building and implementing AI and ML solutions, focusing on vision, creation, and continuous value creation. It ensures a structured, goal-oriented approach to AI and ML projects, taking them from concept to reality and enabling the solution to continuously drive the organization forward.
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Our customers
Discover the power of Machine Learning for your organization
Discover how Machine Learning can take your organization to the next level. Our experts are ready to explore the possibilities with you – from smart data analysis to advanced predictive modeling. Contact us today for a free consultation and take the first step towards a data-driven future!
Edwin Schalk
