AI for Data Analytics: Tools and Techniques
AI for Data Analytics: Tools and Techniques AI has moved from a research topic to a daily tool in data analytics. By automating routine tasks—data cleaning, feature generation, model testing—AI frees analysts to focus on questions and strategy. The result is faster insights, fewer human errors, and models that adapt as data changes. Modern analytics combines several AI capabilities. AutoML helps try many algorithms with minimal code. Feature stores keep useful representations ready for reuse. Natural language interfaces let a business user ask questions like “what influenced sales growth last quarter?” and get interpretable answers. AI can also flag anomalies, forecast trends, and suggest actions, all within dashboards or reports. This speeds the journey from raw data to decisions in days rather than weeks. ...