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Artificial Intelligence (AI)

Artificial intelligence is the collective term for technologies that enable computers to perform tasks that normally require human thinking, such as language processing, pattern recognition, and decision-making.

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What is AI?

Artificial intelligence (AI) is a broad field within computer science focused on developing systems that can perform tasks normally requiring human intelligence. This includes understanding natural language, recognizing patterns in large datasets, and making decisions based on complex information. AI is not a single product but a collection of technologies including machine learning, large language models (LLMs), and neural networks that together enable increasingly smarter applications.

How does AI work?

AI systems work by analyzing large volumes of data and learning patterns from it. In machine learning, a model is trained on historical data, after which it can make predictions about new, unknown situations. Large language models (LLMs) are trained on billions of texts and can therefore understand and generate natural language. Through a RAG pipeline (Retrieval Augmented Generation), a language model is enriched with company-specific knowledge, ensuring it provides answers based on your own documentation and processes.

Example

A logistics company receives hundreds of customer inquiries daily about delivery statuses and returns. With a Wabber AI chatbot running on a private cluster in the Netherlands, these questions are automatically answered based on real-time data from the TMS and WMS. The chatbot understands the question in natural language, retrieves the correct shipment information, and provides a personalized answer immediately. The customer service team is relieved and can focus on more complex requests.

Why is AI important?

The added value of AI for businesses is growing rapidly. Organizations that deploy AI automate routine tasks, unlock business knowledge faster, and make better-informed decisions. In addition to technical implementation, Wabber also offers consultancy and knowledge sessions, ensuring your organization not only receives the technology but also learns how to benefit from it maximally. With our own AI cluster in the Netherlands, you maintain full control over your data and privacy.

Frequently asked questions

What is the difference between AI and machine learning?

AI is the umbrella term for technologies that mimic human intelligence. Machine learning is a subfield of AI where systems automatically learn from data without being explicitly programmed. All machine learning is AI, but not all AI is machine learning.

Is AI safe for my business data?

That depends on the implementation. Wabber runs AI on its own hardware in the Netherlands, meaning your data is never sent to external cloud providers. With a private cluster, you have full control over who has access to your data. Additionally, Wabber is working toward ISO 27001 certification for extra assurance.

What is AI used for in logistics?

In logistics, AI is used for demand forecasting, route optimization, automating customer service through chatbots, and analyzing operational data. AI can also help detect anomalies in processes, allowing problems to be identified early.

What is a RAG pipeline?

RAG stands for Retrieval Augmented Generation. It is a technique where an AI language model is combined with a search system that retrieves relevant business documents. This allows the AI to give answers based on your own knowledge and data, rather than relying solely on general training data.

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