AI in Action: Transformative Applications, Impacts, and Innovations

Artificial Intelligence in Action: Transformative Applications, Impacts, and Innovations explores the integration of AI across key sectors. Chapter 1 analyzes AI in cybersecurity, detailing techniques, applications, benefits, challenges, and policy impacts. Chapter 2 examines AI's role in reshaping organizational culture, leadership, and decision-making in the digital economy, alongside ethical considerations. Chapter 3 presents the design and deployment of real-time object detection and classification systems using AI frameworks like TensorFlow, with testing and analysis. Chapter 4 focuses on machine learning approaches to stock market prediction, covering fundamental and technical analyses. Chapter 5 highlights AI in medicine, including diagnostics, predictive data use, tailored care, virtual health aids, legal-ethical concerns, future trends like intelligent robotics, and limitations of current research. The work emphasizes AI's benefits, risks, and transformative potential across domains.

Autorentext

Dr. Basudha, Dr. Shri Kant, and Dr. Udit Mamodiya are faculty at Poornima University, Jaipur. Their work spans materials science, renewable energy, AI, nanoelectronics, and biosensors, emphasizing research-driven innovation and hands-on training through CRID Lab.