AutoML is transforming data science by automating model-building processes. It increases efficiency, but many wonder if it will fully replace data scientists.
AutoML simplifies tasks like data preprocessing and model selection. However, it still relies on expert data scientists to interpret results and apply them in real-world contexts.
While AutoML automates processes, it lacks the human intuition and creativity needed for complex problem-solving, making data scientists essential for innovation.
AutoML and data scientists are likely to work together, combining automation with human insight, enhancing productivity without eliminating the need for skilled professionals.