Intelligent data analysis and machine learning: Are they really equivalent Concepts?

Some specific features of modern Artificial Intelligence (AI) technologies are discussed. Intelligent Data Analysis (IDA), defined as data analysis by means of computer intelligent systems (more formal — reasoning systems), is in focus of our discussion. We compare effectiveness of classical Machine Learning (ML) and IDA in extraction of empirical laws (i.e. stable empirical regularities — dependencies) from open collections of experimental data — i.e. in so called knowledge discovery (KD) problems. We'll demonstrate (by examples of applications of JSM Method of automated support for scientific research) that IDA is more general concept than classical ML. Some new IDA-based abilities to improve effectiveness of AI-technologies in important applications are presented.