This talk explored the journey from raw data to impactful AI solutions, beginning with an interactive audience check-in on data practices such as A/B testing and ML deployment. Drawing from personal experience in data visualization and NLP research, the session walked through the Data Science Hierarchy of Needs—covering data collection, quality, and integration. Practical demos showcased how visualizations turned complex data into actionable insights.