| 000 | 01450nam a22001937a 4500 | ||
|---|---|---|---|
| 020 | _a9789370635883 | ||
| 041 | _aENG | ||
| 082 |
_a658.0563 _bPAV |
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| 100 | _aPavankumar, Gurazada | ||
| 245 |
_aArtificial intelligence in business / _cPavankumar Gurazada, Seema Gupta |
||
| 260 |
_aChennai : _bVikas , _c2025. |
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| 300 |
_axvi, 352 pages : _billustration ; _c24 cm |
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| 504 | _aInclude reference. | ||
| 505 | _a1. Introduction to Artificial Intelligence in Business -- 2. Foundations of Artificial Intelligence (AI) -- 3. AI Techniques and Algorithms for Business -- 4. Implementing AI in Business -- 5. AI for Effective Marketing and Customer Relationship Management (CRM) -- 7. Applying AI for Sales Forecasting and Demand Prediction -- 8. Applying AI for Optimal Supply Chain Management -- 9. Using AI for Financial Analysis and Risk Management -- 10. Human Resources and Talent Management -- 11. Ethical & Societal Implications, Future Perspectives -- Case One -- Raksha Industries: Navigating the Digital Transformation with AI -- Case Two -- Usha Industries: Leveraging AI for Enhanced Efficiency and Customer Engagement in Furniture Retail -- Case Three -- Fashion Forward's Race Against Time - Can AI Revive a Struggling Retail Giant? -- Case Four -- Navigating Algorithmic Bias at Global Health Insights. | ||
| 650 | _aArtificial intelligence | ||
| 650 |
_aBusiness _xData processing |
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| 700 | _aGupta, Seema | ||
| 942 |
_2ddc _cBK |
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| 999 |
_c24103 _d24103 |
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