Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology. Decoding AI: Practical Implementations for Business Operations reveals real artificial intelligence potentials through practical insights and innovative frameworks, and transformative case studies that operate across different business sectors.

The book explores AI model types, including large language models (LLMs) and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service, and fraud detection and personalized commerce functions. Through its blend of academic AI knowledge and practical business insights, the content enables readers to understand complex algorithms better while achieving improved operational facility.

Key highlights include:

Ethical frameworks for responsible AI and human-aligned intelligence
Data-centric strategies to improve transparency, explainability, and governance
Domain-specific innovations in pricing, negotiation modeling, and behavioral prediction
Real-world case studies demonstrating the transformative power of AI in decision-making
A special focus on the integration of AI in strategic, financial, and customer-facing functions

Whether you're a C-suite executive, startup founder, researcher, academician, or tech enthusiast, this book is designed to equip you with both the strategic vision and technical foundation to embrace AI confidently in your business journey.

Let this volume be your guide in navigating the evolving AI landscape — not just to keep up with innovation, but to lead it.

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Yes, you can access Decoding AI by Alexander Didenko,Hemachandran K,Raul V. Rodriguez,Andrey Korshunov,Maria Bernstein,Raul Villamarin Rodriguez in PDF and/or ePUB format, as well as other popular books in Business & Business Development. We have over one million books available in our catalogue for you to explore.

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Index

Cover
Half-Title
Title
Copyright
Contents
Introduction
Editors
Contributors
1 The Silent Revolution: How AI Is Rewriting the Rules of Organizational Power
2 Equitable AI: Aligning Human Expertise with Algorithmic Value
3 Responsible AI: Mitigating Ethical Concerns and Promoting Decent Work
4 Evaluating LLMs as Facilitators and Moderators in Strategic Sessions: An Expert-Driven Framework for Enhancing Small Group Intellectual Efforts
5 Multimodal Embeddings for Predicting States of Negotiators, Their Changes, and Contents
6 Simulating Dynamics of the Recognition-Primed Decision Model on Financial Markets Using LLM
7 AI and Finance: Redefining Risk Analysis through Advanced Technologies
8 AI in Financial Fraud Detection and Prevention
9 The Role of AI in Combating Financial Fraud: A Case Study Perspective
10 Neural Correlates of Impulse Buying: A Causal AI Approach to Consumer Preference Reversals
11 Instantaneous Personalisation in E-Commerce: A Reinforcement Learning Approach with Language Model Enhancement for User Agnostics for T-Shirt Recommendations
12 Enhancing Investable Art Market Accessibility and Explainability through Data-Centric AI Techniques
13 AI-Powered Customer Service: Enhancing User Experience with Chatbots and Virtual Assistants
14 Case Study on AI-Powered Healthcare: Improving Patient Outcomes with Predictive Analytics
15 Case Study on Implementing AI for Dynamic Pricing in the Hospitality Industry
Index

About this book

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Table of contents