1st Edition

Decoding AI Practical Implementations for Business Operations

348 Pages 35 B/W Illustrations
by Productivity Press

348 Pages 35 B/W Illustrations
by Productivity Press

348 Pages 35 B/W Illustrations
by Productivity Press

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.... Read more

Chapter 1: The Silent Revolution: How AI is Rewriting the Rules of Organizational Power
Thierry Cellerin

 

Chapter 2: Equitable AI: Aligning Human Expertise with Algorithmic Value

Evgeny Goryunov and Alexander Didenko

 

Chapter 3: Responsible AI: Mitigating Ethical Concerns and Promoting Decent Work

Jeereddy Mani Chenna Kesava Reddy, Prasanth Damma, Jamalnake Shaik Mohammed Hafeez, and Prof Ram Kumar Nimmakayala

 

Chapter 4: Evaluating LLMs as Facilitators and Moderators in Strategic Sessions: An Expert-Driven Framework for Enhancing Small Group Intellectual Efforts

Mark Mamrykin, Ahmed Elghandour, and Egor Alaev

 

Chapter 5: Multimodal Embeddings for Predicting States of Negotiators, Their Changes and Contents

Vladislav Zapylikhin, Alexander Didenko, Mikayil Majidov, and Yana Milenkaya

 

Chapter 6: Simulating Dynamics of the Recognition-Primed Decision Model on Financial Markets Using LLM

Yana Ivanova, Alexander Didenko, Mikhail Grigoryan, and Artem Kraevskiy

 

Chapter 7: AI and Finance: Redefining Risk Analysis Through Advanced Technologies

Ilia Munerman

 

Chapter 8: AI in Financial Fraud Detection and Prevention

Shaik Valli Haseena, Neha Jaswani, Ayasha, Gaikwad Beena Suresh, and Simna Shanavas

 

Chapter 9: The Role of AI in Combating Financial Fraud: A Case Study Perspective

Suhash Pokuri, Karri Hema Kumar, and Abhichandra Polkampally 

 

Chapter 10: Neural Correlates of Impulse Buying: A Causal AI Approach to Consumer Preference Reversals

Ruslana Raemgulova, Alexander Didenko, and Egor Volkov

 

Chapter 11: Instantaneous Personalization in E-Commerce: A Reinforcement Learning Approach with Language Model Enhancement for User Agnostics for T-Shirt Recommendations

Kande Archana and V. Kamakshi Prasad

 

Chapter 12: Enhancing Investable Art Market Accessibility and Explainability through Data-Centric AI Techniques

Vladimir Shabason, Kirill Ivanov, Julia Malovitsa, Sergei Maksimov, and Maria Egorova

 

Chapter 13: AI-Powered Customer Service: Enhancing User Experience with Chatbots and Virtual Assistants

Oyenuga Michael Oyedele, Solomon Jeresa, and Sunday Alewo Omale

 

Chapter 14: Case Study on AI-Powered Healthcare: Improving Patient Outcomes with Predictive Analytics

Gulam Mahabub and Ch. Sumalakshmi

 

Chapter 15: Case Study on Implementing AI for Dynamic Pricing in the Hospitality Industry

Bhupinder Singh

Biography

Dr. Hemachandran K has been a passionate teacher with 14 years of teaching experience and five years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & ML. After receiving a Ph.D. in embedded systems at Dr. MGR Educational & Research Institute, India. He started doing interdisciplinary research in AI. An open-ended positive person who has stupendous peer-reviewed publication records with more than 20 journals and international conference publications. He was an effective resource at various national and international scientific conferences. His editorial skills have included him as an editorial board member in numerous reputed SCOPUS / SCI journals.

Dr. Raul Villamarin Rodriguez is the Pro-Vice-Chancellor, Woxsen University, and Dean of the School of Business at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute, a research institute specializing in the field of neuromarketing, AI, ML, market research, behavioral science, social research, and behavioral engineering. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has experience and feels comfortable using Prolog, Java, C++, Python, R/RStudio, Julia, Swift, Scala, MySQL, and Spark, among others. He is a registered expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission, a nominee for the Forbes 30 Under 30 Europe 2020 list, and an awardee in the Europe India 40 Under 40 Leaders. Alongside this, he is a member of the GRLI Deans and Directors cohort. He has co-authored two reference books: New Age Leadership: A Critical Insight and Retail Store, and has more than 70 publications to his credit. He is a weekly contributing writer to various magazines in the field of analytics and emerging technologies. Alongside this, he is a journal reviewer and associate editor in various publications such as IEEE.