What's actually the difference between "artificial intelligence" and "machine learning"?
To put it simply, artificial intelligence is the comprehensive term for "software that can solve problems"; machine learning is a part of artificial intelligence. Machine learning, on the other hand, refers to "algorithms that are trained using data".
99 percent of the AI technologies that have economic relevance today (early 2020) and are used in practice are based on machine learning, i.e. algorithms that use pattern recognition.
Author
Sebastian Zang
Sebastian Zang has cultivated a distinguished career in the IT industry, leading a wide range of software initiatives with a strong emphasis on automation and corporate growth. In his current role as Vice President Partners & Alliances at Beta Systems Software AG, he draws on his extensive expertise to spearhead global technological innovation. A graduate of Universität Passau, Sebastian brings a wealth of international experience, having worked across diverse markets and industries. In addition to his technical acumen, he is widely recognized for his thought leadership in areas such as automation, artificial intelligence, and business strategy.
