Kirjahaku

Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious consequences for both the consumer and the company.The Handbook of Research on Emerging Developments in Data Privacy brings together new ideas on how to deal with potential leaks of valuable customer information. Highlighting the legal aspects of identity protection, trust and security, and detection techniques, this comprehensive work is a valuable resource for any business, legal, or technology professional looking to improve information security within their organization.

Discover the potential of India's growing market with this practical guide for NRIs and foreign entrepreneurs. It offers clear strategies for navigating complex regulations, leveraging tax incentives, and managing approval processes. Designed to empower readers, this book provides the knowledge needed to seize opportunities and succeed in India's dynamic economy, contributing to its ambitious growth goals. With over 11 years of experience in India entry strategies and tax compliance, CA Manish Gupta has helped more than 300 global companies from 15+ countries navigate the complexities of the Indian market. As the founder of Manish Anil Gupta & Co. and an author of 150+ blogs, he is on a mission to help business owners and NRIs navigate the complexities of Indian taxation and compliance.

The rapid evolution of large language models (LLMs) has led to the next major frontier: the AI agents. AI agents are software programs that leverage AI to learn, adapt, and perform tasks autonomously on behalf of users or other systems. Today, AI agents are transforming industries, increasing efficiency, and increasing innovation across business domains. This book provides practical steps for designing and building AI systems that deliver true intelligent automation. This book offers a comprehensive and practical guide to building effective AI agents for real-world LLM applications. It covers all essential topics: from the basics of AI, ML, and GenAI to agent architectures, core components, and design principles. Advanced concepts such as agentic AI frameworks, agentic design patterns, and multi-agent collaboration are also covered. The book also provides the best practices and step-by-step guides for implementing AI agents at scale. Business professionals will benefit from detailed case studies and applications in finance, healthcare, and e-commerce that demonstrate how AI agents are being applied across industries. This book further highlights key implementation challenges along with mitigation strategies related to deployment, building trust, and adoption of AI agents. By the end of this book, readers will be equipped to confidently design, build, and deploy robust, ethical, and scalable AI agents, acquiring industry-ready skills for the future of AI-driven automation. WHAT YOU WILL LEARN ● Understand AI agent fundamentals, workflows, and ML basics. ● Explore agentic AI frameworks and design principles. ● Learn core components with modern agentic design patterns. ● Master multi-agent system architectures and collaboration. ● Build autonomous AI agents with safety. ● Learn practical implementation of designing, deploying, and optimizing AI agents. WHO THIS BOOK IS FOR This book is for AI practitioners, developers, and business leaders seeking to design, build, and deploy effective AI agents for real-world applications. It is also useful for business leaders aiming to leverage AI agents to drive efficiency and gain a competitive advantage, along with tech enthusiasts interested in understanding how AI agents are revolutionizing business transformation and future trends.