Agentic AI Strategies by Industry Experts

The book begins by defining Agentic AI and differentiating it from traditional AI models, emphasizing autonomy, adaptability, and context awareness. It then delves into the architecture of agent-based systems, covering single vs. multi-agent frameworks and their industry applications.

Industry experts share insights on AI-driven algorithmic trading, fraud detection, and financial advisory bots in banking, as well as AI-powered diagnostics, drug discovery, and virtual health assistants in healthcare. In e-commerce, readers discover how AI enhances personalized shopping, inventory management, and customer support. The book also explores how AI secures digital infrastructure through threat detection, anomaly detection, and autonomous cybersecurity agents.

Further chapters highlight AI’s impact on education, marketing, urban planning, and energy efficiency, showcasing how AI-driven solutions personalize learning, optimize city infrastructure, and drive engagement in digital commerce.

The book concludes with best practices for developing, deploying, and governing AI agents, addressing ethical concerns, regulatory frameworks, and responsible AI deployment. It also explores emerging trends, self-learning AI, AGI, and human-AI collaboration.

With practical case studies and expert insights, this book is an essential guide for professionals, researchers, and business leaders navigating the evolving landscape of Agentic AI.