I disagree because the majority of data science roles focus on optimizing production processes or customer acquisition/retention. In practical terms, while we often reference tools like OpenAI, the real-world application revolves around machine learning-based data analytics and unstructured business intelligence. Keras emerges as a valuable tool for businesses due to its combination of machine learning capabilities beaing easy,allow data experimentation, for the business knowledge. In this context, the emphasis on machine learning isn't as pronounced as it is in companies dedicated solely to ML, such as OpenAI or Google ML