1. Healthcare: This research area involves using data analysis and machine learning algorithms to improve patient outcomes, personalize treatment plans, predict disease progression, and identify early warning signs of potential health issues. 2. Finance: In this research area, data analysis and AI techniques are used to detect fraudulent activities, optimize investment strategies, predict market trends, assess credit risk, and automate various financial processes. 3. Marketing: This research area focuses on using data analysis to understand consumer behavior, target advertising campaigns, personalize marketing messages, optimize pricing strategies, and improve customer retention. 4. Transportation: Researchers in this area use data analysis and AI technology to optimize traffic flow, improve public transportation systems, develop autonomous vehicles, predict maintenance needs, and enhance overall transportation efficiency. 5. Smart Cities: This research area involves using data analysis and AI to improve urban planning, manage resources more efficiently, enhance public safety, monitor environmental conditions, and create sustainable and livable cities.