GenAI in Practice: Applications and Challenges

GenAI in Practice: Applications and Challenges offers a comprehensive exploration of how Generative Artificial Intelligence is reshaping modern workflows, industries, and creative landscapes. It presents a wide spectrum of real-world applications—from automated content creation and personalized marketing to advanced medical diagnostics and scientific research—while critically examining the challenges that accompany these innovations.
The book is structured to provide both breadth and depth. Early sections introduce foundational concepts, enabling readers to understand the underlying mechanisms of GenAI models such as large language models, diffusion systems, and multimodal architectures. Subsequent chapters dive into sector-specific use cases, highlighting success stories alongside cautionary tales.
Equally important is the discussion on challenges, including issues of data privacy, algorithmic bias, misinformation risks, ethical deployment, and regulatory needs. Each topic is supported by case studies and actionable insights, making the material relevant for both practitioners and policymakers.
Rather than offering an overly technical or purely theoretical approach, the book maintains a practical orientation, focusing on strategies for safe, effective, and transparent adoption. By combining applications with critical analysis, it empowers readers to harness GenAI’s benefits while navigating its complexities, ultimately promoting responsible and impactful use of this transformative technology.