Agentic Ai Navigating The Future Of Autonomous Machines

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Agentic Ai Navigating The Future Of Autonomous Machines

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Author : Disrupt.co.nz
language : en
Publisher: Disrupt.co.nz
Release Date :

Agentic Ai Navigating The Future Of Autonomous Machines written by Disrupt.co.nz and has been published by Disrupt.co.nz this book supported file pdf, txt, epub, kindle and other format this book has been release on with Political Science categories.

In the rapidly evolving world of technology, Agentic AI: Navigating the Future of Autonomous Machines offers an essential guide to understanding the revolutionary capabilities of autonomous, decision-making systems that are changing industries and society. As artificial intelligence continues to advance, the concept of Agentic AI—AI systems that not only make decisions but also operate autonomously in dynamic environments—is becoming increasingly important. This book explores how Agentic AI works, its development, and its profound implications across various sectors. From self-driving cars to healthcare robots, Agentic AI systems are pushing the boundaries of innovation, offering both incredible potential and significant challenges. The book dives into the ethics of autonomous systems, the challenges of safety, control, and accountability, and the societal impact of these technologies. In this comprehensive, accessible guide, you will learn about: What Agentic AI is and how it differs from traditional AI The underlying technologies powering autonomous systems, including machine learning, neural networks, and natural language processing The diverse applications of Agentic AI in industries such as healthcare, manufacturing, finance, and transportation The ethical dilemmas surrounding autonomous AI, including decision-making, bias, and privacy concerns The potential risks and rewards of integrating autonomous AI into everyday life How Agentic AI could shape the future of governance, employment, and personal freedoms This book also discusses the importance of human oversight, regulation, and creating responsible governance models for these powerful technologies. Whether you're a tech enthusiast, industry professional, or simply someone interested in understanding how Agentic AI is shaping the future, this book will give you the tools and knowledge you need to navigate the complex landscape of autonomous systems. Agentic AI: Navigating the Future of Autonomous Machines is an invaluable resource for anyone seeking to understand the future of autonomous decision-making, AI ethics, and the impact of AI on society.

Ai Trends Navigating The Future

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Author : Ayman Elmaasarawy
language : en
Publisher: Ayman Elmassarawy
Release Date : 2024-12-27

Ai Trends Navigating The Future written by Ayman Elmaasarawy and has been published by Ayman Elmassarawy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.

This book offers an advanced, yet accessible, exploration of contemporary AI trends and their implications. AI has transitioned from a niche academic pursuit into a cornerstone of innovation across fields as diverse as healthcare, finance, education, and entertainment. This book seeks to demystify AI by breaking it down into thematic chapters that cover its theoretical foundations, practical applications, and ethical considerations. For policymakers, technologists, educators, and the curious reader, this book provides an invaluable resource. It not only maps the cutting-edge developments in AI but also encourages critical thinking about the opportunities and risks that accompany them. By doing so, it empowers readers to engage with AI not just as passive observers but as informed participants shaping its evolution. "AI Trends: Navigating the Future" is divided into thoughtfully curated chapters, each addressing a distinct facet of AI’s evolution and impact. Below is an overview of the book's structure: Foundations of Artificial Intelligence: The opening chapter sets the stage by exploring the fundamental concepts and historical milestones of AI. It provides an accessible yet thorough introduction to the basics of machine learning, neural networks, and computational intelligence, creating a foundational understanding for readers. AI in Industry: Transforming Economies: This chapter delves into how AI is revolutionizing sectors such as healthcare, finance, manufacturing, and agriculture. Real-world case studies illustrate the profound economic implications and efficiency gains brought about by AI technologies. Ethics and Responsibility in AI: AI’s potential raises profound ethical questions about privacy, bias, and accountability. This chapter examines the frameworks needed to develop AI responsibly, ensuring that it aligns with societal values and norms. The Future of Work in an AI-Driven World: As AI systems automate tasks and augment human capabilities, they are reshaping the workforce. This chapter discusses the challenges and opportunities in adapting to a world where humans and AI collaborate. AI in Creative and Cultural Spheres: Beyond productivity and efficiency, AI is influencing creativity and cultural expression. This chapter explores AI's role in art, music, literature, and film, raising questions about the intersection of technology and human creativity. AI for Social Good: Opportunities and Challenges: AI holds the potential to address pressing global issues, from climate change to public health crises. This chapter evaluates the transformative role AI can play in improving lives, while also highlighting the challenges in implementing such technologies effectively. Frontiers of AI Research: Looking ahead, this chapter covers the most advanced research areas in AI, such as explainable AI, quantum AI, and general intelligence. It paints a picture of what the future might hold and the scientific breakthroughs on the horizon. Policy and Regulation in the AI Era: The final chapter focuses on governance, examining how countries are developing policies to regulate AI, encourage innovation, and protect citizens. Throughout the book, several recurring themes provide a cohesive narrative: Interdisciplinary Impact: From biology to economics, AI's reach is far and wide. Each chapter underscores the interconnectedness of AI developments across disciplines. Opportunities and Risks: By presenting balanced discussions, the book helps readers appreciate the immense opportunities AI offers while being vigilant about its pitfalls. Actionable Insights: Whether readers are entrepreneurs, policymakers, or students, the book offers practical insights into how AI can be leveraged to achieve specific goals.

The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors

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Author : Abhishek Dodda
language : en
Publisher: Global Pen Press UK
Release Date :

The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors written by Abhishek Dodda and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Cognitive Foundations Of Agentic Ai From Theory To Practice

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Cognitive Foundations Of Agentic Ai From Theory To Practice written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Cognitive Foundations of Agentic AI: From Theory to Practice explores the conceptual and technical underpinnings of AI systems that act with autonomy, proactivity, and social intelligence. Drawing from cognitive science, artificial intelligence, and systems theory, this book provides a structured view of how intelligent agents perceive, learn, reason, and interact in dynamic environments. Beginning with a detailed exploration of what defines Agentic AI, the book delves into the cognitive processes that support agency—perception, learning, reasoning, memory, and decision-making. It bridges classical symbolic models with modern deep learning and neuro-symbolic systems to illustrate how hybrid architectures can enable generalizable, goal-driven behavior. Emphasis is placed on modeling real-world complexity, social cognition, and human-like interaction through language, emotional awareness, and theory of mind. The text also critically examines challenges such as generalization, ethical alignment, uncertainty, and explainability. Through illustrative case studies in robotics, healthcare, digital assistants, and multi-agent systems, it highlights the real-world implications and limitations of agentic systems. The final chapters outline practical pathways to building cognitive agents, including architecture design, training environments, and evaluation methods. It encourages a collaborative AI-human future where agents not only support but enhance human decision-making, learning, and creativity. Ideal for AI practitioners, researchers, and graduate students, the book offers both a theoretical framework and practical insights into creating autonomous systems that think, learn, and act intelligently. It invites readers to rethink intelligence not as a fixed trait but as an emergent, contextual process deeply rooted in cognition.

Exploring Agentic Ai Pioneering The Next Frontier In Autonomous Decisionmaking And Machine Learning Applications

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Author : Kishore Challa
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :

Exploring Agentic Ai Pioneering The Next Frontier In Autonomous Decisionmaking And Machine Learning Applications written by Kishore Challa and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Agentic Ai

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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-01-02

Agentic Ai written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Technology & Engineering categories.

In Agentic AI, readers are taken on a compelling journey into the transformative world of autonomous artificial intelligence. This in-depth exploration covers the evolution of agentic systems, from their historical roots in early automata to their role in shaping future technologies. The book delves into the philosophy of agency in machines, examining the intricate balance between control and independence, and how these systems are redefining fields such as healthcare, defense, space exploration, and creative industries. With chapters focused on the critical components of agentic AI including decision-making, learning, goal-orientation, and ethical considerations Maria Johnsen sheds light on both the technical and moral implications of creating AI systems capable of autonomous action. The book also addresses pressing concerns such as privacy, bias, fairness, and the societal impact of AI, offering insights into its integration into diverse sectors, from smart cities to autonomous transportation. A particularly poignant section highlights the moral responsibility of agentic AI, exploring how ethical frameworks can guide the development of these systems and ensure accountability in their decision-making processes. The future of work and the potential for AI to disrupt industries and create new roles is also examined, with a focus on preparing society for the inevitable changes on the horizon. Through case studies, expert insights, and future predictions, Agentic AI offers a comprehensive look at how autonomous systems are shaping our world and what lies ahead in the next frontier of artificial intelligence.

Ai Fundamentals Explained

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Author : Brian Mackay
language : en
Publisher: Brian Mackay
Release Date : 2024-08-14

Ai Fundamentals Explained written by Brian Mackay and has been published by Brian Mackay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.

Welcome to my new book called AI Fundamentals Explained. My name is Brian Mackay and I have worked in the IT industry since 1997 when I started at BT Internet helpdesk in my home town of Thurso, in the county of Caithness on the north coast of Scotland. I then went on to work at BT Global Services, Nildram in Buckinghamshire, England, then I moved to Edinburgh, Scotland where I worked for Scottish and Newcastle UK the Heineken UK, NHS Quality Improvement Scotland, NHS Lothian, Bodycote Plc and BSKYB service desk. I passed my Masters in Cybersecurity from Edinburgh Napier University in 2019 and now work as a Cybersecurity consultant for The Scotcoin Project CIC. This book starts off by looking at the early days of AI and machine learning and moves on to the various types of AI today such as, what are LLM's, what is ethical AI, AI legislation, Chat GPT and what is Generative AI, how AI will benefit and be a challenge to the cybersecurity industry, then finally looks at the potential future of AI such as quantum AI.

Data Mining And Business Intelligence

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Author : Dr. Jyotiranjan Hota
language : en
Publisher: BPB Publications
Release Date : 2025-05-20

Data Mining And Business Intelligence written by Dr. Jyotiranjan Hota and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.

DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding. Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices. WHAT YOU WILL LEARN ● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively. ● Master data mining, BI principles, regression, classification, association rules, and clustering. ● Design BI architectures, ETL processes, data warehouses, and effective data visualizations. ● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations. ● Explore text mining, big data analytics, and the ethical dimensions of data practices. ● Implement regression, classification, association rule mining, and clustering techniques. ● Develop expertise in data mining, business intelligence, and ethical data application. WHO THIS BOOK IS FOR This textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence. TABLE OF CONTENTS 1. Introduction to Data Mining and Business Intelligence 2. Regression and Classification Techniques with Applications 3. Concept and Application of Association Rule Mining Algorithm 4. Clustering 5. Introduction to Business Intelligence 6. Business Intelligence Architecture, Query and Reporting Practices 7. Advanced Data Mining and Business Intelligence Techniques 8. Data Mining and Business Intelligence Ethical Framework

Agentic Ai

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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-11

Agentic Ai written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Business & Economics categories.

This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.

Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act

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Author : Tejas Patthi
language : en
Publisher: Tejas Patthi
Release Date : 2025-06-30

Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act written by Tejas Patthi and has been published by Tejas Patthi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.

Build real-world AI systems that do more than just respond. They think, plan, and act with purpose. Agentic AI is a comprehensive, hands-on guide to building autonomous AI agents using Python, large language models (LLMs), LangGraph, CrewAI, FAISS, and other modern tools. Whether you are an AI developer, a machine learning engineer, or a tech enthusiast, this book will help you move beyond simple chatbots and prompt-based models into the advanced world of intelligent, agent-based systems that function independently and handle real tasks. In this step-by-step guide, you’ll learn how to build LLM-powered autonomous agents capable of reasoning, tool use, memory recall, and multi-step task execution. From integrating with real-world APIs to deploying production-ready agent workflows, you'll gain the skills to create powerful and reliable agentic AI systems using today's top frameworks and best practices. 🔍 What You Will Learn: How to build autonomous AI agents that work independently without constant human input How to create agents with long-term memory using vector databases like FAISS and Chroma How to orchestrate multi-agent systems using frameworks like LangGraph and CrewAI How to integrate AI with external tools, APIs, and web services How to use Python to script smart agent behaviors and decision-making logic How to deploy agentic systems in cloud environments or containers with live monitoring How to implement agent safety, performance testing, and real-time feedback loops 💡 Why This Book Is Different: This is not just another theoretical AI book. Agentic AI is a project-based, code-driven manual that gives you everything you need to: Build tool-using AI assistants, copilots, and multi-agent task managers Use LangChain, LangGraph, CrewAI, and LLM toolchains effectively Combine LLMs with real-time data, plugins, memory, and feedback systems Design and deploy goal-driven AI agents with full autonomy and context awareness Stay ahead in the fast-evolving field of agent-based AI and LLM integration 🧠 Tools and Technologies Covered: Python 3.x LangGraph & LangChain CrewAI & OpenAgents ChromaDB & FAISS for memory OpenAI, Claude, Gemini, HuggingFace APIs FastAPI, Docker, REST APIs, and Webhooks Autonomous task chaining, multi-agent routing, and smart tool use 📦 Who Should Read This Book? AI Engineers ready to move beyond static models Python Developers exploring LLMs and autonomous systems Tech founders building smart assistants and AI copilots Data Scientists interested in real-world AI deployment Prompt engineers ready to level up into full-stack AI workflows