Episode 70 - Data Tools: AutoML

In Episode 70 of '100 Days of Data,' Jonas and Amy explore AutoML—Automated Machine Learning—and its transformative impact on the data science landscape. They break down how AutoML automates model building, from data preprocessing to model selection and hyperparameter tuning. Real-world use cases in healthcare, retail, finance, and manufacturing illustrate how AutoML drives efficiency, reduces the reliance on scarce expert talent, and accelerates business innovation. The episode also covers key considerations like model interpretability, data quality, and governance, emphasizing that while AutoML empowers faster AI adoption, human insight remains critical for best results. Whether you're a data newcomer or a seasoned analyst, this episode unpacks AutoML as a powerful assistant in scaling AI efforts across industries.