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AI-Driven Competitive Intelligence and Next-Generation Security
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Editors: Subhendu Kumar Pani, Suneeta Satpathy, Sachi Nandan Mohanty

Series Title: Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks

AI-Driven Competitive Intelligence and Next-Generation Security

Volume 4
eBook: US $59 Special Offer (PDF + Printed Copy): US $128
Printed Copy: US $98
Library License: US $236
ISSN: 3029-2255 (Print)
ISSN: 3029-2247 (Online)
ISBN: 979-8-89881-214-0 (Print)
ISBN: 979-8-89881-213-3 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988121331250401
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Introduction

Advancing Intelligence: Exploring Smart Systems and Future Innovations with Machine Learning is a comprehensive volume collection examining how Artificial Intelligence (AI) and Machine Learning (ML) are reshaping industries, societies, and technologies worldwide. Written by global experts, the series combines theoretical foundations with practical applications, showcasing how intelligent systems address pressing challenges across healthcare, agriculture, urban development, business intelligence, and cybersecurity.

  • - Volume 2: Transformative Healthcare Solutions Powered by AI and ML investigates intelligent tools for precision medicine, medical informatics, wearable devices, and patient-centric care, demonstrating how AI enhances diagnosis and treatment outcomes.
  • - Volume 3: AI and ML Solutions Driving Modern Farming and Urban Innovation explores sustainable farming, smart agriculture, environmental monitoring, and intelligent city infrastructures for improved quality of life.
  • - Volume 4s: AI-Driven Competitive Intelligence and Next-Generation Security focuses on financial analytics, business intelligence, cybersecurity, and digital forensics, emphasizing strategies for resilience in a data-driven era.


Key Features

  • - Integrates AI and ML into healthcare, agriculture, urban, and business systems.
  • - Applies intelligent tools to improve diagnosis, sustainability, efficiency, and security.
  • - Analyzes case studies and global perspectives for real-world relevance.
  • - Explores future-ready innovations shaping intelligent, resilient ecosystems.
  • - Addresses both societal opportunities and technical challenges of AI adoption.

Readership:

Designed for researchers, academicians, graduate students, and professionals in AI, computer science, data science, and engineering, as well as practitioners in healthcare, agriculture, urban planning, business, and cybersecurity seeking actionable insights.


eBook: US $59 Special Offer: US $128 Printed Copy: US $98 Library License: US $236

Preface

In today’s hyper-connected and rapidly evolving global economy, the ability to harness artificial intelligence (AI) for competitive intelligence has become a cornerstone of strategic decision-making in business and finance. Organizations increasingly rely on advanced AI and machine learning (ML) techniques to not only analyze vast volumes of structured and unstructured data but also to anticipate market trends, optimize operations, and maintain a competitive edge. Equally critical is the next-generation security landscape, where sophisticated cyber threats challenge enterprises, financial institutions, and governments to adopt resilient, intelligent defense mechanisms.

This volume, AI-Driven Competitive Intelligence and Next-Generation Security, brings together a collection of research contributions, case studies, and applied frameworks that explore the convergence of AI, data analytics, and cybersecurity. The chapters cover a diverse range of topics, including predictive financial modeling, automated market analysis, fraud detection, risk assessment, and AI-enabled threat intelligence. By bridging the domains of business intelligence, financial analytics, and cybersecurity, the volume highlights innovative methodologies that not only enhance decision-making but also safeguard critical assets in an increasingly digital ecosystem.

We believe this volume will serve as a valuable resource for researchers, practitioners, and policymakers seeking to understand the transformative potential of AI in shaping competitive strategies while addressing emerging security challenges. The insights presented here reflect the collective expertise of leading scholars and industry professionals, providing readers with practical approaches and forward-looking perspectives that will drive sustainable growth and resilient security in the digital age.

Subhendu Kumar Pani
Computer Science & Engineering
Krupajal Engineering College BPUT
Odisha, India

Suneeta Satpathy
Center for Cyber security
SoA Deemed to be University, Bhubaneswar
Odisha, India

&

Sachi Nandan Mohanty
School of Computer Science & Engineering
VIT-AP University, Andhra Pradesh
India