Logo Alexander Thamm
Logo Alexander Thamm

Explainable AI - Methods for explaining AI models

Explainable AI (XAI) is currently one of the most discussed topics in the field of AI. Developments such as the European Union's AI Act, which makes explainability a mandatory property of AI models in critical domains, have brought XAI into the focus of many companies developing or applying AI models. As this now applies to a large part of the economy, the demand for methods that can describe the decisions of models in a comprehensible way has increased immensely.

Why, AI? The basics of Explainable AI (XAI)

So in theory, with XAI methods and the right know-how, even complex black-box models can be at least partially interpreted. But how does it look in reality? In many projects or use cases, interpretability is an important pillar of the overall success. Security aspects, lack of trust in the model results, possible future regulations as well as ethical concerns ensure the need for interpretable ML models.

ChatGPT Use Cases for Companies

With ChatGPT, a powerful AI technology has been freely available to a broad public for the first time since the end of 2022. Many describe the new chatbot as a real game changer in terms of text generation and speech generation....

Generative AI - An Overview

A special human ability is to create things that were not there before, to think "out-of-the-box" and to be creative - until now. Because thanks to new technology, the creative force no longer remains alone...

Business Intelligence: Simply explained

Business Intelligence (BI) plays a crucial role in the business environment in analysing and processing data to extract valuable information for informed business decisions. Companies can benefit from the...

Data Science & AI Trends 2023

The year 2023 holds new challenges, trends, but also opportunities for companies: next-generation chatbots, Europe-wide AI regulation and the latest AI hardware developments - the AI ecosystem is currently changing a lot....

Our new white paper


"Challenge 23: Opportunities through data analytics

Use cases for the successful application of AI