AI for Business - II

Rs. 315.00
Rs. 350.00
Rs. 315.00
(-10%)
Order within the next hours minutes to receive it. Estimated delivery is between and
Publisher: Prime Publishing House
ISBN: 9789373440316
Year: 350
Pages: 250

'AI for Business – II' is a practical and application-oriented guide that explores the advanced use of Artificial Intelligence in modern business environments. Building on foundational concepts, this book focuses on how AI technologies are applied to automate processes, enhance decision-making, and improve efficiency across various industries.

The book covers key areas such as AI in business operations, robotic process automation, customer relationship management, and workflow automation tools. It further introduces data-driven decision-making, predictive analytics, and the use of AI in finance, human resources, and business intelligence. Real-world applications across sectors like retail, banking, education, and healthcare provide valuable insights into the transformative impact of AI.

Written in a clear and learner-friendly style, the book emphasizes practical understanding through examples, use cases, and project-based learning. It helps readers develop analytical skills and an application-oriented approach to solving business problems using AI.

An ideal resource for learners, this book equips readers with the knowledge and skills required to understand and implement AI-driven solutions in today’s dynamic business landscape.

1. AI in Business Operations and Automation
1.1 AI in supply chain management and logistics
1.2 Robotic Process Automation (RPA) basics (e.g., invoice processing, customer onboarding)
1.3 AI in CRM systems (personalized responses, lead scoring)
1.4 Use of AI chatbots for customer service
1.5 Business workflow automation tools: Zapier, Microsoft Power Automate

2. AI for Business Decision Support
2.1 Data-driven decision-making using AI dashboards
2.2 Introduction to predictive analytics and forecasting tools
2.3 AI in financial analysis: fraud detection, credit scoring
2.4 AI in HR: candidate screening, sentiment analysis in feedback
2.5 Use of Google Looker Studio / Tableau Public for basic AI-driven reports

3. AI Use Cases and Sectoral Applications
3.1 Retail: product recommendations, inventory prediction
3.2 Banking: AI-powered loan approvals, roboadvisors
3.3 Education: personalized learning platforms
3.4 Healthcare: AI-assisted diagnostics and scheduling
3.5 Capstone mini-project: Create a basic AI enabled business model for any one sector

This textbook is aligned with the revised syllabus as outlined by the National Education Policy (NEP 2020) Open Electives (OE) Second Year BA / BSc / BCA / BBA (Semester - IV)

तुम्हाला हे देखील वाचायला आवडेल

ही पुस्तके तुम्ही नुकतीच पाहिलीत – आताच खरेदी करा!