Episode 28 - Natural Language Processing

In Episode 28 of '100 Days of Data,' Jonas and Amy explore how machines interpret human language through Natural Language Processing (NLP). They unpack the evolution from rule-based systems to modern techniques like deep learning and transformers, and introduce key concepts like embeddings, sentiment analysis, and named entity recognition. The duo shares real-world applications—from automating customer support to improving doctor workflows—and address critical challenges, including bias and context limitations. They also offer strategic advice for business leaders looking to implement NLP, emphasizing clear goals and mindful adoption. Whether you're curious about how chatbots work or how language insights can drive product decisions, this episode provides a clear, practical foundation in one of AI's most dynamic fields.