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1. ROLE OF ARTIFICIAL INTELLIGENCE IN BUSINESS Presented by:- SHRIYASH KHAIRNAR

2. Introduction to AI in Business What is AI? AI refers to the simulation of human intelligence in machines that can perform tasks like problem- solving, decision-making, and learning.

Why is AI important in business? It improves efficiency, reduces costs, and enhances decision-making.

Examples of AI in business: Chatbots , recommendation systems, automation, and data analysis. 2

3. Automation of Repetitive Tasks: AI-powered systems handle routine work like data entry, emails, and scheduling.Data Analytics & Decision-Making: AI analyzes large datasets to provide insights and improve strategic decisions Efficiency & Productivity: AI minimizes human errors and speeds up processes, saving time and resources.Example : AI-driven project management tools optimize workflows. AI in Business Operations

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5. AI in Customer Experience & Marketing AI Chatbots & Virtual Assistants: Chatbots provide 24/7 customer support, resolving queries in real time. Personalized Recommendations: AI analyzes user behavior to suggest products/services (e.g., Netflix, Amazon). Targeted Advertising: AI identifies customer preferences to create personalized marketing campaigns. Sales Forecasting & Lead Generation: AI predicts trends and helps businesses identify potential customers.

6. AI in Finance & Supply Chain Fraud Detection & Risk Management: AI detects unusual financial transactions to prevent fraud. Automated Accounting & Financial Planning: AI assists in bookkeeping, budgeting, and investment analysis AI in Logistics & Inventory Management: AI predicts demand, optimizes routes, and automates warehouses Example: AI in e-commerce predicts inventory needs based on customer behavior.

7. 7 Challenges and Ethical Concerns Data Privacy & Security Risks: AI systems collect vast amounts of data, raising cybersecurity concerns. Bias in AI Decision-Making: AI can reflect human biases, leading to unfair hiring or loan approvals. Impact on Employment: AI automation may replace certain jobs, requiring workforce reskilling. Regulatory and Ethical Issues: Companies must ensure AI use is transparent and ethical.

8. 8 Future of AI in Business Key Emerging AI Trends: Generative AI, AI-powered automation, and advanced machine learning models. Preparing for AI Adoption: Businesses should invest in AI training, infrastructure, and ethical AI policies. Long-Term Impact: AI will create new job roles, enhance decision-making, and drive innovation across industries.

9. Conclusion Summary of Key Takeaways: AI enhances business efficiency, improves customer experience, and transforms industries. Final Thought: Businesses must embrace AI strategically while considering ethical implications.

10. Thank you