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AI for Data-Driven Decision Making & Business Intelligence: How Business Leaders Harness AI Analytics, Predictive Intelligence, and Data Storytelling to ... & MANAGEMENT LIBRARY SERIES Book 37)
English | June 9, 2026 | ASIN: B0H4LS3CBH | 309 pages | Epub | 313.13 KB
Your Competitors Are Making Decisions in Hours. You're Still Waiting for the Report.The organizations outperforming you right now aren't smarter. They've simply closed the gap between data and decision - using AI tools that didn't exist five years ago, and frameworks that most business books still haven't caught up to. AI for Data-Driven Decision Making & Business Intelligence closes that gap for you.Written for directors, VPs, and C-suite leaders aged 35-55 who need real analytics capability - not theoretical concepts - this practical guide delivers 50 ready-to-use AI prompts, a 90-day implementation roadmap, and industry-specific applications across five sectors.✅ No data science degree required - every exercise works with tools you already have ✅ Predictive analytics made accessible - 8 proven use cases with step-by-step guidance ✅ Data storytelling that drives decisions - the STAR framework + AI co-creation ✅ Self-service analytics blueprint - empower your whole team, not just the analysts ✅ Culture transformation roadmap - the 5 pillars of data-driven organizationsAcademic rigor meets executive practicality - 130+ verified citations from HBR, MIT Sloan, MIS Quarterly, and more.Decision-makers who act on data outperform those who don't. This book shows you how to become one of them.→ Get your copy now and start Week 1 today.

AI for Beginners: Understanding Artificial Intelligence for Non-Tech Professionals: Discover How AI Works and How You Can Use It in Everyday Life and Work-No Coding Required
English | January 20, 2026 | ASIN: B0GDZ81TC7 | 160 pages | Epub | 3.86 MB
AI for Beginners: Understanding Artificial Intelligence for Non-Tech ProfessionalsDiscover How AI Works, How to Use It at Work and in Everyday Life, and What to Watch Out For. No Coding RequiredArtificial Intelligence is everywhere, but for many people, it still feels confusing, intimidating, or out of reach.This book is written for professionals, entrepreneurs, students, and curious readers who want to understand artificial intelligence without becoming technical or learning to code.You don't need a computer science degree.You don't need to write a single line of code.You need clear explanations and real-world examples.In AI for Beginners, you'll learn how to:Understand what AI really is (and what it isn't) in plain EnglishRecognize how artificial intelligence already shows up in everyday life and workUnderstand the difference between AI, machine learning, and generative AIUse popular AI tools confidently without codingWrite better prompts to get more useful results from AI toolsAvoid common risks like misinformation, privacy issues, and over-reliance on AIUnderstand how AI is changing jobs and careers, and how to adaptStart learning and using AI without feeling overwhelmedWhat makes this book different:Written specifically for non-technical professionalsNo jargon, no math, no programmingPractical examples instead of theoryReal-world use cases you can relate toHands-on exercises and simple workflowsFocus on confidence, clarity, and responsible AI useWhether you want to work more efficiently, understand the technology shaping your career, or stop feeling left behind, this book gives you the foundation you need.If you've ever thought, "AI sounds important, but I don't know where to start," this book was written for you.Scroll up and start building AI confidence one chapter at a time.

AI for Beginners 2026: Master ChatGPT, Gemini, Claude, Copilot, and Other AI Tools
English | May 31, 2026 | ASIN: B0H3J8C68G | 73 pages | Epub | 382.38 KB
How can AI make your life easier?In AI for Beginners 2026, you'll discover how today's most powerful AI tools can help you work smarter, learn faster, boost productivity, enhance creativity, and tackle everyday tasks more efficiently.Inside this practical guide, you'll learn:* What AI is and how it works* How to use ChatGPT, Gemini, Claude, Copilot, and other leading AI tools* Ways AI can improve productivity and save time* How AI supports learning, creativity, and business growth* Common AI mistakes and how to avoid them* Important AI safety and privacy considerations* 100 practical AI prompts you can start using immediatelyWhether you're a student, professional, entrepreneur, creator, or simply curious about the future, this beginner-friendly guide will help you understand AI and use it with confidence.The AI revolution has already begun. Start building the knowledge and skills that can help you thrive in the years ahead.

AI and Quantum Computing Explained 2026: A Beginner-Friendly Guide to the Future of Technology, Business, and Science
English | October 8, 2025 | ASIN: B0FV79PRZS | 91 pages | Epub | 296.60 KB
Are you ready for the next great leap in technology?In AI and Quantum Computing Explained 2026, Rantese Paul unpacks two of the most powerful forces transforming our world - Artificial Intelligence and Quantum Computing - and shows how they are reshaping business, science, and everyday life.Written in clear, engaging language for beginners and curious readers alike, this book bridges the gap between complex theory and real-world impact. From AI-driven healthcare breakthroughs to quantum-powered finance, you'll discover how these technologies work, where they're heading, and what they mean for the future.Inside, you'll learn:How AI and quantum computing complement each otherThe real-world applications changing medicine, business, and climate researchThe challenges, ethics, and opportunities of a rapidly evolving digital eraHow to prepare for the jobs and skills of tomorrowWhether you're a student, professional, or simply fascinated by technology's future, this book will help you understand the innovations shaping 2026 and beyond.Accessible. Insightful. Visionary.AI and Quantum Computing Explained 2026 is your guide to understanding - and thriving in - the intelligent, quantum-powered world ahead.

AI Trading Made Simple: A Beginner's Guide to Building No Code Trading Bots, Automating AI Systems, and Generating Passive Income in 30 Days (AI Mastery ... Future of Intelligent Technology Book 1)
English | May 2, 2026 | ASIN: B0GX94B6SX | 123 pages | Epub | 205.08 KB
What if the way you think about money, trading, and technology could change in the next 30 days?Not through guesswork. Not through hype. But through a clear, structured system that shows you how artificial intelligence can work with you, not against you, in the financial markets.AI Trading Made Simple is a practical, beginner friendly guide that breaks down how modern traders are using AI tools and no code automation to analyze markets, build trading systems, and execute smarter decisions without needing programming skills or years of experience. This is not a theory heavy textbook filled with confusion. It is a step by step blueprint designed to help you understand, apply, and gradually build your own AI supported trading approach with confidence.Inside this guide, you will discover how trading is evolving beyond human emotion and manual decision making into a structured system where logic, rules, and automation play a central role. You will learn how to move from observing the market to actively building systems that can assist you in making more disciplined and consistent trading decisions.This book is for you if you have ever looked at the financial markets and felt overwhelmed by complexity, or if you have been curious about AI but unsure how it actually connects to trading in a real and practical way. It is also for you if you are tired of scattered information, inconsistent strategies, and approaches that promise results but never explain the process clearly.Whether you are a complete beginner or someone who has already explored trading but struggled with consistency, this guide is structured to meet you where you are and take you step by step into a more modern, system based approach.You will learn how to think differently about trading. Instead of relying on emotion or random signals, you will begin to understand how to use structured tools and automation to support your decisions. You will see how no code platforms can be used to create trading workflows, how AI can assist in analyzing market behavior, and how simple systems can be built to reduce uncertainty and improve discipline.More importantly, you will begin to see trading not as a chaotic activity, but as a structured process that can be learned, refined, and improved over time.Inside this book, you will explore practical methods such as:How AI is being used in modern trading environmentsHow to build simple no code trading bots without technical skillsHow to use automation to reduce emotional decision makingHow to analyze market conditions with AI assistanceHow to create a structured trading routine that supports consistencyHow to manage risk in a way that protects long term growthHow to begin building systems that can operate with minimal manual inputThis is not about unrealistic promises or overnight success. It is about building understanding, applying systems, and developing the discipline needed to grow steadily in a fast changing financial world.If you are someone who has been searching for a clearer path into trading, or someone who wants to understand how AI can actually be applied in a practical way, this book gives you that entry point. It removes unnecessary complexity and focuses on what truly matters: clarity, structure, and execution.By the time you finish reading, you will not only understand how AI trading works, you will also have a practical direction on how to begin building your own system step by step over the next 30 days.The question is no longer whether AI is changing trading. The real question is whether you are ready to learn how to use it.If you are, then this is where your journey begins.Take the first step today. Unlock the guide and start building your AI trading foundation with clarity and confidence.

AI Threat Modeling: Attack Surfaces and Risk Assessment for LLM Systems (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents Book 2)
English | April 13, 2026 | ASIN: B0GWZS3K45 | 418 pages | Epub | 3.1 MB
AI Threat Modeling is the book I wish I had on my desk the first time an AI system behaved perfectly in testing and then failed creatively in production.Traditional threat modeling assumes software is predictable, obedient, and honest. Large language models are none of those things. They are probabilistic, improvisational systems that blur the line between code, data, configuration, and behavior. That is why classic threat models quietly fall apart when applied to AI. This book shows you how to rebuild them correctly.Inside, you will learn how to threat model modern LLM-based systems from the ground up. You will see why deterministic security assumptions fail, how to treat models as both critical assets and evolving attack surfaces, and how risk changes across training, deployment, inference, and autonomous decision-making. We move beyond prompt injection and examine the full AI attack surface - context windows, retrieval-augmented generation pipelines, memory systems, external tools, plugins, and downstream consumers that unknowingly turn AI output into execution.This book is deliberately practical. You will learn how to: Identify assets that do not look like assets in LLM-powered systemsMap real adversaries instead of imaginary hackers with unlimited resourcesBuild threat scenarios that actually happen in production environmentsModel misuse, abuse, data leakage, and cost exhaustion as first-class risksAssess cross-tenant failures and supply chain risks unique to AI systemsUnderstand how risk changes when LLMs become agents with goals, tools, and memoryPrioritize threats in probabilistic systems where likelihood is fuzzy and impact is contextualTranslate threat models into concrete security controls your team can actually implementKeep threat models alive through agile and DevOps workflows as systems evolveEvery concept is tied to realistic examples, workshops, hands-on labs, and reusable templates you can deploy with your own teams immediately.Risk analysis for AI systems gets special attention. You will learn how to prioritize threats when business risk often matters more than technical elegance, how to align threat models with secure design principles, and how to communicate risk in language that moves engineering and leadership toward action.AI Threat Modeling is Book 2 in the series:The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous AgentsIf you have read LLM Security in Practice, this book is the natural next step - thinking ahead instead of reacting. If you are planning to tackle The LLM Top 10 Security Guide or Red Teaming LLMs, this book gives you the mental framework those efforts depend on. And if you are heading toward AI agents, autonomous tools, and real-world incident response, the threat modeling skills here will follow you through the rest of the series.This is not a compliance checklist. It is not academic theory. It is a practical, opinionated guide to understanding how AI systems fail - and how to reduce surprise when they do.This book is for you if you are a: Security engineer or architect designing LLM-powered systemsDeveloper who wants to think about risk before something breaks in productionEngineering lead responsible for AI system safety and reliabilityRisk or compliance professional extending existing frameworks into AIAnyone building, reviewing, or governing LLM systems at scaleYou cannot defend what you have not mapped. Start here.

AI: THE META INTERFACE: How Artificial Intelligence is Rewriting Science, Self, Society (Quantextual.Life)
English | March 23, 2026 | ASIN: B0GTKX95YT | 129 pages | Epub | 204.58 KB
AI: THE META INTERFACEHow Artificial Intelligence Is Rewriting Science, Self, SocietyEvery previous technology changed one thing at a time. Fire transformed chemistry. The printing press transformed the distribution of knowledge. The steam engine transformed manufacturing. Each was revolutionary - within a domain.Artificial intelligence is different in kind, not just in degree. It is entering every domain of human knowledge simultaneously, rewriting the rules of each one, faster than our institutions are designed to respond.AI: The Meta Interface is the seventh volume of the Quantextual.Life Series. The previous six volumes mapped the eight great interfaces through which human beings navigate reality - the constructed boundaries between what we can perceive and what actually exists. This volume asks the harder question: what happens when a single technology begins rewriting all eight interfaces at once?Across three movements - Science, Self, and Society - the book traces what AI is actually doing in each of eight domains:In Mathematics, AI is discovering theorems human mathematicians have not found. In Physics, it is building predictive models that outperform decades of human expertise - without understanding what they model. In Chemistry, it is designing molecules no human chemist would have conceived. In Biology, it is reading the genome as if it were a program and writing back.In Psychology, AI systems are participating in the formation of human identity - shaping the self through optimization processes whose targets were set by someone other than the person being shaped. In Sociology, it is degrading the epistemic infrastructure on which democratic coordination depends.In Economics, an Intelligence Inversion is underway whose distributional consequences are visible but not yet fully legible. In Politics, the tools of epistemic manipulation are becoming cheaper, more capable, and more precisely targeted with each passing year.Four futures branch from this moment - Augmented Humanity, Algorithmic Leviathan, Fractured Equilibrium, and Civilizational Collapse. The choice of which civilization builds toward is still open. This book is written to keep it open a little longer."Not one more tool. The rewriting of all the tools."About the Series: AI: The Meta Interface is Vol. VII of the Quantextual.Life Series - a sustained philosophical inquiry into the interfaces through which human beings construct, navigate, and transform reality. Other volumes are available in paperback, hardcover, and Kindle.

AI Systems for Productivity: 25 Frameworks to Automate Your Work, Think Clearer, and Get More Done with ChatGPT, Claude & Gemini
English | May 18, 2026 | ASIN: B0H25XMYYM | 58 pages | Epub | 303.13 KB
Stop writing prompts. Start building systems.Most people use AI like a search engine - one question, one answer, forgotten by tomorrow. This book shows you a different approach.Inside, you'll find 25 ready-to-use frameworks covering productivity, research, writing, business strategy, and personal development - each one structured so you can apply it in minutes and adapt it to your exact needs.No fluff. No lists of 1,000 generic prompts. Just clean, minimalist systems designed for professionals who want results.Whether you use ChatGPT, Claude, Gemini, or any other AI tool - these frameworks work across all of them. * Build a personal AI operating system that fits your workflow * Think more clearly using structured decision-making frameworks * Save hours every week with automation-ready prompt systems * Apply the same frameworks to work, business, and personal lifeIf you're serious about using AI as a genuine thinking and productivity tool - this is the book.One system. Permanent upgrade.

AI Should Assist You, Not Replace You: How to Use Artificial Intelligence to Work Smarter, Boost Productivity, and Stay Relevant in the Future of Work
English | May 13, 2026 | ASIN: B0H1MQYS5X | 162 pages | Epub | 1.24 MB
What if the real threat in today's workplace is not artificial intelligence itself, but the fear of not knowing how to use it?Every day, people worry about being replaced by AI, overwhelmed by automation, or left behind in a rapidly changing digital economy. But the truth is far more empowering: AI is not here to replace you, it is here to amplify you. The real advantage belongs to those who learn how to work with it, not against it.''AI Should Assist You, Not Replace You" is a practical, no-fluff guide that shows you exactly how to use artificial intelligence as a powerful assistant in your everyday life, work, studies, and business. Instead of treating AI as a complex or intimidating technology, this book reframes it as a productivity partner that helps you think faster, work smarter, and stay relevant in the future of work.Inside, you will learn how to turn AI into a real-world productivity system that supports your goals, not replaces your role.This book shows you how to:Use AI tools like ChatGPT to simplify daily tasks and save timeImprove productivity through smart workflows and automation strategiesWrite better emails, reports, and content with AI assistanceStudy faster and research more efficiently using AI-powered techniquesBuild practical AI habits that fit into your work and lifestyleDevelop future-proof skills that remain valuable in an AI-driven economyAvoid common mistakes that lead to overdependence on AIInstead of theory-heavy explanations, this guide focuses on clear, practical applications you can start using immediately, whether you are a student, freelancer, entrepreneur, or professional navigating the modern workplace.You will also gain a deeper understanding of how AI is reshaping industries, what skills will remain essential, and how to position yourself for long-term success in an evolving digital world.If you have ever wondered how to stay relevant, work more efficiently, and confidently adapt to the future of work, this book gives you the roadmap.The shift has already begun. The question is not whether AI will impact your future, it already is.The real question is: will you use it to your advantage?Take the next step toward working smarter, not harder. Grab your copy today and start building your AI-powered productivity advantage.

AI SYSTEMS THINKING: Building AI Workflows & Agent Teams That Scale (AI Activation: Think Like a CEO. Build Systems. Automate, Create, and Earn in the AI Economy. Kindle Edition Book 1)
English | February 18, 2026 | ASIN: B0GP1KMXYF | 52 Pages | Epub | 193.82 KB
You're using AI wrong. Not because you're incompetent. Because you're thinking in single prompts when you should be thinking in systems. THE CHATBOT TRAP Right now, you open ChatGPT or Claude, ask a question, get an answer, and close the window. Maybe you do this 10-20 times per day. Each interaction is isolated. Disconnected. Forgotten. This is using AI at 5% of its capability. You're treating a Ferrari like a bicycle. It works, but you're missing the entire point. WHAT AI SYSTEMS ACTUALLY ARE An AI system is a workflow where multiple AI agents coordinate to produce consistent, scalable outputs-automatically. Instead of asking AI to "write a blog post," you build a content production system where: * One agent researches the topic and gathers data * Another creates a structured outline * Another writes the draft following your style * Another edits for clarity and impact * Another optimizes for search and engagement You input the topic. The system handles the rest. Every post goes through the same pipeline. Quality is consistent. Time investment drops from 2 hours to 15 minutes. That's a system. And it scales. THE 3 LEVELS OF AI USE Level 1: One-Off Prompts (95% of ) You ask questions. AI answers. Repeat. No memory, no continuity, no systems. Level 2: Prompt Chains (4% of ) You string multiple prompts together. Output of one feeds into the next. Better, but still manual. Level 3: Agent Systems (<1% of users) Multiple specialized AI agents coordinate automatically. You design the workflow once, then run it repeatedly. This is mastery. Most people never progress past Level 1 because they don't know Level 3 exists. This book gets you to Level 3. WHAT YOU'LL LEARN * How to design AI workflows that produce consistent, high-quality outputs * The 5 core agent archetypes that handle 90% of knowledge work * Step-by-step instructions for building your first automated system * How to coordinate multiple agents without programming skills * Where AI excels vs. where human judgment is required * Real workflow examples: content production, research synthesis, decision support * How to iterate and improve systems based on feedback * Why specialization beats general-purpose AI assistants THE SPECIALIZED AGENT MODEL Instead of one generic AI assistant doing everything poorly, you build a team of specialized agents: The Researcher: Gathers information, finds sources, extracts data The Analyst: Synthesizes insights, identifies patterns, evaluates options The Creator: Writes content, builds outputs, produces deliverables The Critic: Reviews quality, spots errors, suggests improvements The Coordinator: Manages workflow, ensures standards, flags issues Each agent has clear instructions. Each excels at its specific role. Together, they produce work you couldn't create manually in the same timeframe. WHY THIS MATTERS NOW Everyone has access to the same AI models. ChatGPT, Claude, Gemini-$20/month tools available to anyone. Your competitive advantage isn't in the tools. It's in the systems you build with those tools. Two people with identical AI access produce radically different results: * One asks occasional questions and gets marginal improvements * One builds systematic workflows and gets exponential advantages The gap compounds over time. The people who learn to build systems now will have infrastructure that produces value continuously. The people who don't will still be asking one-off questions. PRACTICAL, NOT THEORETICAL This isn't an academic exploration of AI. This is a builder's manual. Every chapter includes: * Specific prompts you can copy and adapt * Step-by-step workflow instructions * Real examples with actual outputs * Iteration strategies for continuous improvement You don't need coding skills. You don't need technical background. You need systematic thinking and willingness to design workflows instead of just using prompts.