Machine learning

February 12, 2026
|By Julia Schönau

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Machine learning is a central subfield of artificial intelligence (AI). It enables computer systems, such as AI agents, to independently identify patterns in large amounts of data and generate knowledge from them without having to explicitly program each step. Essentially, it involves training algorithms to learn from experience and continuously improve their performance.

The difference: machine learning vs. deep learning

The terms are often used synonymously, but there are clear differences. While classic machine learning usually requires structured data, deep learning uses artificial neural networks to process unstructured information such as images, sounds, or text. Deep learning is therefore a specialized subform of machine learning that is particularly useful for complex tasks such as speech recognition (NLU) – a core area of BOTfriends' expertise.

Areas of application for modern companies

Machine learning offers a variety of levers for increasing efficiency:

  • Automation in service: Intelligent chatbotsthat understand customer concerns and resolve them autonomously.
  • Marketing personalization: Individual product recommendations in real time based on user behavior.
  • Customer Relationship Management (CRM): Prediction of customer churn and calculation of customer lifetime value.

BOTfriends helps you not only to recognize this potential, but also to convert it directly into ROI through customized AI strategies.

The machine learning process: From raw data to intelligent model

A successful machine learning project follows a clear path: It all starts with defining the problem and obtaining high-quality data. This is followed by the learning phase (model training), in which the algorithm searches for patterns. After a rigorous testing phase, the model is put into productive use. 

 

Frequently Asked Questions (FAQ)

Machine learning refers to a system's ability to learn from data rather than simply following rigid commands. The algorithm recognizes patterns and applies them to new data in order to make predictions. BOTfriends uses this technology to develop chatbots and AI assistants that not only respond to keywords, but also understand the context of a message.

Companies use machine learning to reduce costs by automating routine tasks and accelerating decision-making processes. It improves the customer experience through personalization and reduces risks through early anomaly detection. BOTfriends supports you in implementing ML models in a way that directly contributes to your business goals.

Unlike rule-based systems, ML-based solutions can understand complex queries and respond in natural language. BOTfriends relies on advanced Natural Language Understanding (NLU) models that continuously learn. This sustainably increases the automated solution rate (deflection rate) of your customer service.

Security is a top priority for enterprise companies. Although machine learning requires large amounts of data, this data can be processed in protected cloud environments or on-premises. BOTfriends attaches great importance to GDPR-compliant implementations and provides comprehensive advice on governance and security standards for your AI solutions.

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