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What is Generative AI?

Generative AI creates new content like text, images, and data by learning patterns from existing data, enabling smarter, faster insights and automation.

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What is Generative AI?

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  1. Introduction Data Analytics has always been about finding patterns and insights. 2025 marks a major shift with Generative AI powering advanced analytics. From static dashboards to AI-driven narratives and predictions.

  2. What is Generative AI? A subset of AI that can create new content: text, images, code, and data. Tools: ChatGPT, Google Gemini, Claude, DALL·E. In data analytics, it generates: Automated insights Data visualizations Predictive models

  3. Why is Generative AI a Game-Changer in Analytics? Speed: Rapid data interpretation. Scalability: Handles massive datasets effortlessly. Personalization: Delivers tailored insights. Accessibility: Non-technical users can interact with data through natural language.

  4. Real-World Applications Business Intelligence: Auto-generated dashboards. Marketing Analytics: Customer behavior predictions. Healthcare: AI-assisted diagnostics from patient data. Finance: Fraud detection and risk modeling.

  5. BENEFITS FOR BUSINESSES Faster decision-making. Reduced dependency on data specialists. Enhanced data storytelling for stakeholders. Democratization of data access.

  6. CHALLENGES & RISKS Data privacy concerns. Over-reliance on AI without human oversight. Ethical use of generated insights. Model bias and inaccuracies.

  7. FUTURE TRENDS Integration with IoT and Edge computing. AI-powered data governance. Conversational analytics with virtual data assistants. Rise of "Citizen Data Scientists.

  8. Conclusion Generative AI is redefining data analytics. Companies embracing this trend gain competitive advantages. The future is a blend of human expertise and AI-powered insights.

  9. THANK YOU

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