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Overview
"Introduction to Artificial Intelligence: A Business Perspective" provides an overview of the impact of AI on business and technology. It covers a range of topics, from AI prompt engineering and its applications in business settings to machine learning, natural language processing, generative AI, analytical AI and computer vision. The book delves into ethical considerations, the evolution of AI and its potential and addresses challenges in the modern business and technological landscape, including automation and efficiency, ethics and privacy, bias and accuracy, education and personalization and business applications. The curriculum aligns with modern educational needs, making it relevant for students preparing for careers in technology and business. An instructor may incorporate several chapters to any course in any curriculum as AI spans every industry in the new world around us.
- Video Based Assessment: The interactive end-of-chapter material in this AI book is designed to be highly engaging. Students create videos detailing their understanding of AI topics covered in each chapter. This approach reinforces their learning, helping them develop communication and presentation skills, demonstrating their grasp of complex AI concepts in a creative and accessible way. This method encourages students to think critically, articulate their thoughts and present their insights, showcasing their understanding in relevant format for today's digital and multimedia-driven world.
- Prompt Alongs: A feature called Prompt Alongs make the learning process more dynamic and interactive, helping students gain practical skills that are essential in the rapidly evolving field of AI by giving them an opportunity to practice prompt engineering in a guided way.
- Ethical Considerations: The inclusion of ethics and privacy discussions sets this product apart by promoting responsible AI development and usage.
- Practical Focus: The product emphasizes practical applications of AI, providing students with real-world examples and hands-on experience.
- Industry Relevance: The book provides detailed examples of how AI is being used in various pathways across different industries. AI is transforming business operations by automating processes and improving efficiency. In healthcare, AI is used for predictive analytics and personalized medicine. AI algorithms can analyze patient data to predict potential health issues and recommend personalized treatment plans. AI-powered robots are used in various industries for tasks such as assembly, packaging and inspection.
Introduction: The Transformation of the Business World with AI. Automating Business Operations with AI. Introducing OpenAI's ChatGPT. Engineering a Basic Generative AI Prompt for a Text Response. Understanding AI and its Impact on Ethics and Privacy. Analyzing Potential Bias, Accuracy, and Privacy of OpenAI.
2. Progressing from Turing to Deep Learning.
Tracing the Evolution of AI. Connecting the The Turing Test and Intelligence. Applying Machine Learning Innovations. Illustrating Deep Learning. Using Deep Learning in Microsoft Office with Copilot. Developing Microsoft PowerPoint Slides using Copilot. Perceiving AIs Impact on Business and the Economy.
3. Making Headway with Natural Language Processing.
Unlocking the Power of Language with NLP. Bridging the Gap between Humans and Machines Using AI Speech Recognition in Google Gemini's Multimodal AI Model. Advancing Prompt Engineering in Gemini's Multimodal AI Powered Voice. Analyzing Generative AI's Impact on Business Recruitment.
4. Moving Forward with Machine Learning and Generative AI.
The Rise of Big Data and Machine Learning. The History of Language Models Data. How ChatGPT Works within Conversational AI Applications. Copilot and Gemini in Industry: Use Cases and Case Studies. The Impact of ChatGPT on Society and Communication. Understanding AI within AI Mobile Apps. Using AI with the Apple Intelligence Platform.
5. Seeing with Computer Vision.
Introduction to Computer Vision. Image Formation and Representation. Image Filtering and Enhancement. Object Detection and Recognition. Generating AI Art Ethically.
6. Addressing Inequities and Advancing Inclusion Through Technology.
A Veneer of Objectivity and Fake News. AI as a Black Box. Copyright Infringement via Generative AI. AI and Education: Improving Learning and Teaching. Personalized Learning. Evaluating AI Tools for Research.
7. Bringing AI to the Physical World with Robotics.
History and Evolution of Robotics. Exploring the Diverse Types of Robotic Technology. Robots at Work: Industry Applications. Sensors and Actuators for Robotics. Robot Control and Planning with AI. Reinforcement Learning and Use Cases for Robotics.
8. Applying AI to Cybersecurity.
The Challenges of Protecting our Technology. The Ideal Union: AI and Cybersecurity. The Two Sides of AI. Crafting an Advanced AI Prompt. Using AI in Cybersecurity. The Future of AI and Cybersecurity.
9. Building a Chatbot: The Future of Conversation.
Chatbots: Enhancing Customer Service and Efficiency. Design the Key Components of a Chatbot. Creating Your Own Chatbot. Chatbot Knowledge Bases. The Rise of Chatbots: How Automation is Transforming Customer Service.
10. Ensuring Ethical Development in a Digital World.
Oversight Overwhelmed in the Legal System. Developing Ethical Guidelines for AI Systems and Robotics. Understanding Sustainability in the Age of AI. Designing Fairness into Data Collection and Use. Protecting Privacy and Data Rights in the Age of Big Data. Ensuring Ethical Guidelines for AI Video Creation.
11. Reshaping Society and Transforming the Labor Market.
The Role of AI in Marketing and Customer Experience. AI and Healthcare: Revolutionizing Patient Care and Medical Research. AI and Supply Chain Management: Enhancing Efficiency and Reducing Costs. AI and Entrepreneurship: Unlocking Innovation and Growth. Preparing for the AI-Powered Future: Life and Business with AI. Winners and Losers in Career Pathways.