Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks
This series features edited volumes on cutting edge technologies that are driving innovation in various professional and academic sectors. It covers commuting methods (such as AI and blockchain) and technologies (such as IoT and cloud computing). The goal of the series is to highlight new trends in business, innovation and research, from researchers and professionals of all levels around the world. Chapters focus on reviewing the technologies and exploring the advantages and use-cases in different scenarios.
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AI-Driven Competitive Intelligence and Next-Generation Security
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 & 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 4: 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.