Artificial Intelligence
Advancements in Artificial Intelligence (AI) are the most impactful developments in Data Science in the last decade. With them, previously unsolvable analytical problems (like understanding traffic on the level of a human driver) can be solved adequately.
These advances improve the methods of Machine Learning (ML), which are algorithms that derive knowledge (or relationships) from data to make predictions and generate insights for the users. Compared to ML, AI offers drastically expanded capabilities to approach highly complex problems (like image recognition, speech recognition, speech synthesis, text generation and extraction) on the level of a human being (the supposed level of organic intelligence).
These advancements have been made possible through new training algorithms to create highly complex models, the availability of huge amounts of annotated data (like images with proper descriptions of the content) and extreme computational capacities in data centers and with modern processor architectures dedicated to model training.
