Cronin Understanding Generative AI Business Applications

A Guide to Technical Principles and Real-World Applications
1. Auflage 2024
ISBN: 979-8-8688-0282-9
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 248 Seiten, eBook

This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.

The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.

In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.

What You Will Learn

• What are the technical elements that constitute the makeup of Generative AI products?
• What are the practical applications of Generative AI?
• How can algorithms be designed to automate and improve written communication?
• What are the latest Generative AI architectures and algorithms?

Who This Book Is For

Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Cronin, Irena

Inhaltsverzeichnis

Part I: Fundamentals and Overview


Chapter 1: Introduction to the World of Generative AI


a.              What Is Generative AI?


b.              The Various Facets: Text, Senses, and Rationale


c.              Historical Milestones


d.              Discriminative vs. Generative Models


 


Chapter 2: Core Technical Concepts


a.              Introduction to Algorithms


b.              Fundamental Data Structures


c.              An Overview of Machine Learning


d.              How Data Fuels AI


 


Chapter 3: The Business Case for Generative AI


a.              Current State of AI in Business


b.              Why Generative AI is Different


c.              Key Business Scenarios and Use Cases


d.              ROI Metrics and Case Studies


 Part II: Text-based Generative AI


Chapter 4: The World of Text-based Generative AI


a.              Categories and Subtypes


b.              The Business Value Proposition


 


Chapter 5: Unpacking Transformer-based NLP


a.              Anatomy of Transformer Models


b.              Role in Natural Language Understanding


c.              Business Applications: Customer Service, Analytics, and
More


 


Chapter 6: Exploring Chatbot Technologies


a.              Basic Principles of Chatbot Design


b.              A Comparative Study: GPT-4 vs. Claude 2 vs. Google Bard


c.              Strengths, Weaknesses, and Best-fit Scenarios


 


Chapter 7: Advanced Applications of Text-based AI


a.              Document Automation: Case Studies


b.              Sentiment Analysis: Tools and Metrics


c.              AI-driven Content Creation: Benefits and Limitations


 Part III: Senses-based Generative AI


Chapter 8: Senses-based Generative AI Demystified


a.              Categories: Visual, Auditory, and Multisensory


b.              Business Applications and KPIs


 Chapter 9: In-depth Look at Visual Algorithms


a.              Neural Radiance Fields (NeRFs)


b.              3D Gaussian Splatting: Technical and Practical Aspects


c.              Text-to-Image and Text-to-Video


d.              Computer Vision in Business Settings


 Chapter 10: The Auditory and Multisensory Experience


a.              Algorithms Behind Sound Generation


b.              AR and VR: Practical Business Scenarios


c.              Multisensory Integration: Case Studies and Applications


 Part IV: Rationale-based Generative AI


Chapter 11: Rationale-based Generative AI: Concepts and
Significance


a.              Decision-making in AI


b.              Categories and Types of Decision-making Models


c.              Business Scenarios: From Finance to Manufacturing


 


Chapter 12: Data and Algorithms: The Backbone of Decision
Making


a.              Overview of Key Machine Learning Algorithms


b.              Data Analytics Techniques and Their Importance


c.              Combining ML and Data Analytics for Optimal Results


Chapter 13:  Applications and Real-world Case Studies


a.              Business Simulations for Risk Assessment


b.              Autonomous Systems: From Warehouses to Vehicles


c.              Decision Support Systems: Tools and Technologies


Part V: Conclusion and Future Directions


Chapter 14: Summarizing Key Insights


a.              Highlights from Each Section


b.              Business Benefits and Drawbacks: A Recap


c.              Strategies for Implementation


Chapter 15: The Evolving World of Generative AI


a.              Next-Generation Technologies on the Horizon


b.              Regulatory and Ethical Landscape


c.              Future Research Directions


 

Über Autor(innen)

Irena Cronin is SVP of Product for DADOS Technology, which is making an app for the Apple Vision Pro that does data analytics and visualization. She is also the CEO of Infinite Retina, which provides research to help companies develop and implement AI, AR and other new technologies for their businesses. Prior to this, she worked for several years as an equity research analyst and gained extensive experience in evaluating both public and private companies.

Irena has a joint MBA/MA from the University of Southern California and an MS with Distinction in Management and Systems from New York University. She graduated with a BA from the University of Pennsylvania with a major in Economics (summa cum laude).