Price: ₹475 - ₹449.00
(as of Dec 08, 2025 00:17:40 UTC – Details)
Artificial Intelligence in Business is transforming the way organizations operate—driving innovation, increasing efficiency, and enabling smarter, data-driven decision making. Yet for many professionals and students, the gap between complex technical concepts and practical business applications can feel overwhelming. This book bridges that gap with clarity, relevance, and purpose.
Designed for MBA students, business leaders, and aspiring AI practitioners, Artificial Intelligence in Business cuts through the hype to provide a grounded, accessible, and actionable guide to real world AI. From foundational principles like machine learning and deep learning to advanced applications in marketing, finance, supply chain, and HR, each chapter offers practical insights supported by real-world use cases and code implementations. Whether you’re aiming to enhance customer engagement, streamline operations, or manage risk more effectively, this book equips you with the knowledge and tools to apply AI strategically in a business context.
What sets this book apart is its focus on delivering business value without sacrificing technical depth. It demystifies core technologies such as natural language processing (NLP), computer vision, and generative AI, while guiding readers through every stage of implementation—from assessing data readiness to deployment and ongoing monitoring. Ethical considerations and responsible AI practices are integrated throughout, ensuring readers understand not
only what AI can do, but also what it should do.
Artificial Intelligence in Business is your essential companion for navigating the AI-powered future—strategically, ethically, and with confidence.
Key Features:
1. Makes complex AI concepts accessible and relevant for business professionals and students.
2. Focuses on practical, real-world applications of AI.
3. Covers foundational AI concepts like machine learning and deep learning.
4. Explores advanced AI applications in key business areas: marketing, finance, supply chain, and HR.
5. Includes real-world use cases and hands-on code examples to reinforce learning and application.
6. Demystifies technologies such as: i. Natural Language Processing (NLP), ii. Computer Vision, iii. Generative AI
7. Guides readers through the full AI lifecycle: data readiness, deployment, and monitoring.
8. Integrates ethical considerations and responsible AI practices throughout the text.
9. Helps readers apply AI strategically to enhance customer engagement, streamline operations and manage risk.
Table of Contents:
1. 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)
6. Applying AI for Sales Forecasting and Demand Prediction
7. Applying AI for Optimal Supply Chain Management
8. Using AI for Financial Analysis and Risk Management
9. Human Resources and Talent Management
10. Ethical & Societal Implications, Future Perspectives
11. Case One Raksha Industries: Navigating the Digital Transformation with AI
12. Case Two Usha Industries: Leveraging AI for
13. Enhanced Efficiency and Customer Engagement in Furniture Retail
14. Case Three Fashion Forward’s Race Against Time – Can AI Revive a Struggling Retail Giant?
15. Case Four Navigating Algorithmic Bias at Global Health Insights
Useful for:
For MBA students, business leaders and aspiring AI practitioners
From the Publisher






ASIN : B0FF4D2BHH
Publisher : Vikas Publishing House; Latest Edition 2025 (21 May 2025)
Language : English
Paperback : 368 pages
ISBN-10 : 9370635882
ISBN-13 : 978-9370635883
Reading age : 16 years and up
Item Weight : 406 g
Dimensions : 24 x 20.3 x 1.2 cm
Net Quantity : 1 Count
Packer : Vikas Publishing House
Generic Name : Artificial Intelligence in Business
Best Sellers Rank: #19,930 in Books (See Top 100 in Books) #57 in Artificial Intelligence

