AI Tools for Business

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Publisher: Prime Publishing House
ISBN: 9789373446967
Year: 2025
Pages: 52

AI Tools for Business is a forward-looking and practical textbook that introduces the transformative role of artificial intelligence in modern business environments. The book provides a clear understanding of core AI concepts and explores how intelligent technologies are reshaping decision-making, automation, and operational efficiency across industries.

It covers a wide range of AI-powered tools used for communication, content creation, meetings, marketing, customer engagement, and business analytics. Key applications such as chatbots, digital marketing optimization, data visualization, and predictive analytics are explained in a simple and application-oriented manner, enabling learners to understand how AI enhances productivity and innovation in real-world business scenarios.

With well-structured content, examples, and case-based insights, this book helps readers develop practical knowledge of integrating AI into business processes. It serves as a valuable resource for students and professionals seeking to build digital competence and stay relevant in an increasingly AI-driven business landscape.

1. Introduction to AI in Business
1.1 Basics of Artificial Intelligence (AI) and Machine Learning (ML)
1.2 Role of AI in Business Decision Making
1.3 AI-powered Business Automation: Advantages & Challenges
1.4 Introduction to AI Ethics and Bias
1.5 Case Study: AI Implementation in E-commerce and Banking Sectors

2. AI-Powered Tools for Productivity and Automation
2.1 AI for Communication & Content Creation
2.1.1 ChatGPT
2.1.2 Google Bard
2.1.3 Grammarly
2.1.4 Canva AI
2.2 AI for Meetings & Transcription
2.2.1 Otter.ai
2.2.2 Fireflies.ai

3. AI in Marketing and Customer Engagement
3.1 AI for Digital Marketing & SEO
3.1.1 Copy.ai
3.1.2 Jasper AI
3.1.3 SurferSEO
3.2 Chatbots & AI-Powered Customer Service
3.2.1 Drift
3.2.2 HubSpot AI
3.2.3 Salesforce Einstein

4. AI for Business Analytics
4.1 AI for Data Visualization & Business Insights
4.1.1 Tableau AI
4.1.2 Power BI
4.2 Predictive Analytics & Decision Making
4.2.1 AI in Finance
4.2.2 Risk Analysis

BBA | First Year Semester – II, Open Elective This textbook is aligned with the revised syllabus as outlined by the National Education Policy 2020 (NEP 2020) for the Faculty of Commerce & Management Bachelor of Business Administration (BBA), effective from June 2025.

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