Efficient data analysis with artificial intelligence

Introduction to GenAI for data analysis

• What is Generative AI?
• Differences to traditional AI approaches.
• Examples of GenAI in data analysis (e.g. data predictions, visualizations).
• Limitations of typical data analytics and business intelligence tools.

Basics of data analysis with AI

• Overview: Use of GenAI in data visualization, processing, cleansing and predictive analytics.
• GenAI as a catalyst for more efficient work in Microsoft Excel (e.g. table linking, macro creation).
• GenAI in the field of data science: AI-supported forecasting, classification and cluster analyses.
• Analysis and interpretation of a data set with the support of GenAI.

Tools and technologies

• Overview of relevant tools.
• Outlook for integrating GenAI into existing workflows using AI agents with Microsoft Copilot Studio.
• Discussion on data privacy and ethical aspects.

Advanced applications

• Forecasting models and scenario planning.
• Generation of data-based forecasts with GenAI.
• Visualization of complex relationships with the help of AI.