Anshuman Mishra – författare

The world is rapidly moving toward an era where machines are no longer limited to performing predefined tasks. Instead, they are becoming intelligent systems capable of thinking, planning, acting, and improving independently. This book, AI Agents Revolution Build Autonomous Agents That Work 24 7, is designed to help readers understand and master this powerful transformation.Artificial Intelligence has evolved from simple rule based systems to highly advanced models that can understand language, analyze data, and make decisions. However, the most important shift is the rise of AI agents. These agents are not just tools or assistants. They are autonomous systems that can perform tasks continuously without human intervention. They can observe their environment, make decisions based on goals, take actions, and learn from outcomes.This book provides a complete roadmap for building such intelligent systems. It begins with fundamental concepts, ensuring that readers from all backgrounds can understand the basics of AI agents. It explains what AI agents are, how they work, and how they are different from traditional software systems and modern AI assistants.As the reader progresses, the book dives deeper into the internal structure of AI agents. It explains the key components such as perception, reasoning, action, and memory. These components form the foundation of any intelligent system. Understanding them allows readers to design agents that are efficient, scalable, and reliable.The book also focuses heavily on practical implementation. Readers will learn how to set up their development environment, install necessary tools, and start building their first autonomous agent. Step by step instructions are provided to ensure clarity and ease of learning. Even beginners can follow along and build working systems.One of the most powerful aspects of AI agents is their ability to interact with external tools and systems. This book explains how to connect agents to APIs, databases, and other services. It also covers how to build custom tools that extend the capabilities of agents, allowing them to perform real world tasks such as automation, data retrieval, and communication.Memory and learning are critical for long term autonomy. This book explains different types of memory systems, including short term and long term memory, as well as advanced concepts like episodic and procedural memory. Readers will learn how to design agents that can remember past interactions, learn from experience, and improve over time.Planning and decision making are at the core of intelligent behavior. The book introduces techniques for breaking down complex goals into smaller tasks, handling uncertainty, and making informed decisions. It also explains how agents can adapt to changing environments and continuously refine their strategies.

1. Introduction: The Dawn of AI-Driven EntrepreneurshipWe are living in a time when Artificial Intelligence is no longer a distant technological ambition—it is a transformative force reshaping every facet of business, innovation, and societal development. Across industries, from healthcare to finance, from education to manufacturing, AI is redefining what is possible. The convergence of AI technologies with entrepreneurial vision is producing not just startups, but entirely new ecosystems of economic growth, problem-solving, and human progress."e;AI-Powered Entrepreneurship: Innovate, Scale, and Lead the Future"e; is a comprehensive, research-backed, and practice-oriented guide designed for aspiring entrepreneurs, startup founders, corporate innovators, students of business and technology, and policymakers who wish to understand and harness the vast potential of Artificial Intelligence in building sustainable, scalable ventures. This book aims to provide the intellectual depth of an academic text while delivering the practical insights necessary for navigating the high-paced, high-stakes world of AI startups.In an era where agility, innovation, and technological adaptability determine success, this book positions itself as both a strategic blueprint and a practical toolkit for anyone seeking to leverage AI as the foundation of a business venture.   2. Purpose and Relevance of the BookThe inspiration behind this book stems from an observable gap: while there is abundant literature on entrepreneurship and increasing resources on AI, few sources combine these domains with equal academic rigor and entrepreneurial pragmatism. Entrepreneurs often struggle to understand how to transform AI concepts into viable business models. Likewise, technology professionals may excel in developing AI solutions but lack the frameworks to validate markets, secure funding, or scale operations.This book bridges that gap by integrating the foundational principles of entrepreneurship with the cutting-edge capabilities of AI technologies. It combines strategic theory with concrete, implementable methods, ensuring readers not only understand the "e;what"e; and "e;why"e; of AI-powered entrepreneurship but also the "e;how."e;Its relevance is heightened by the rapid evolution of AI tools and the surge in AI-related investments globally. Whether it is the advent of generative AI models, AI-powered analytics, or sector-specific AI applications, the ability to conceptualize, develop, and scale AI-based ventures is becoming an essential entrepreneurial skill. 3. Target Audience: Who Will Benefit from This BookThis book has been intentionally designed to address the needs of multiple audiences:·        Aspiring Entrepreneurs seeking to create AI-based ventures from scratch.·        Startup Founders aiming to integrate AI capabilities into existing business models.·        Business Leaders & Corporate Innovators tasked with incorporating AI into organizational strategy.·        Students & Academics in business, computer science, AI, and innovation management.·        Investors and Venture Capitalists evaluating AI-driven opportunities.·        Policy Makers & Ecosystem Builders involved in fostering AI-based innovation hubs.

Explore how Artificial Intelligence (AI) is driving the evolution of product management through a unified approach to data. Written as a practical guide, this book equips modern product managers with the tools to harness AI and data to design, build, and scale innovative products. Through actionable frameworks and real-world examples, you'll learn to define impactful AI problem statements and evaluate financial ROI and feasibility. Beyond strategy, this book addresses data operating model challenges such as data quality, system integration, adoption barriers, ethics, and governance. You’ll be introduced to a practical framework for Trustworthy AI, one that combines sound data practices, ethical principles, and responsible governance with real-world product management tools.Whether you are at a startup experimenting with AI or leading transformation in a global enterprise, AI Meets Strategy is your roadmap to building AI-enabled products that people believe in.What You Will LearnAdopt an AI-first mindset, where AI is central to product strategy.Design sustainable systems that balance innovation with societal impact.Craft enterprise-wide AI strategies that align with business goals, governance standards, and ethical principles Who This Book is ForAspiring to senior Product Managers