Ashford marcus (11 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - The hardest financial skill isn't making money, it's knowing when to stop.A cardiac surgeon earning $2M can't retire despite trembling hands. A couple with $6M dies never having traveled. An attorney making partner feels trapped, not triumphant. They've all reached 'enough', but can't recognize it, can't stop accumulating, and can't enjoy what they've built.Sound familiar The Enough Point reveals why intelligent people work decades past necessity, die with millions unspent, and sacrifice irreplaceable time for surplus money. Through unforgettable true stories and behavioral research, this book exposes the psychological traps that make 'enough' impossible to recognize, and provides the frameworks to escape them.You'll discover: - Why the same traits that build wealth prevent enjoying it- The 'regret minimization framework' for every major money decision- How to shift from accumulation mode to preservation (and why most people never do)- Why comparing your 'enough' to others' is a category error- The difference between scarcity mindset (essential during building) and abundance mindset (essential after)- Specific practices for learning to actually spend and enjoy your wealth- How to recognize when you've won-so you can stop playingThis isn't another book about getting rich. It's about recognizing when you are rich, having the courage to stop accumulating, and learning to deploy wealth for the life it was meant to enable.The enough point is when you've built sufficient harvest. The tragedy is building a magnificent harvest and dying hungry.Perfect for: - High earners questioning whether the next promotion is worth it- Retirees with ample savings who still feel anxious- Anyone who's achieved success but can't enjoy it- People seeking permission to stop optimizing and start livingThe harvest is ready. This book teaches you to eat it.…

Taschenbuch. Zustand: Neu. Neuware - Every generation of parents believes it is raising children for an uncertain future. But something genuine has changed. The career ladders you climbed no longer exist in the same form. The credentials that once guaranteed stability now guarantee considerably less. And the advice you were given, however loving, was drawn for a country that has quietly redrawn its own borders.This book does not offer a better map. No one can honestly offer that, and anyone who claims to is selling something. Instead, it offers a compass, a set of fifteen deeply researched, psychologically grounded principles that help you raise a child capable of finding their own way through terrain neither of you can fully chart in advance.Drawing on developmental psychology, mythology, clinical case material, and honest, often difficult observations from real families, Dr. Marcus Ashford guides parents through the internal work that actually matters: releasing outdated assumptions, managing your own fear before it becomes your child's inheritance, building a resilient relationship with failure and uncertainty, honoring your child's unique temperament, and, eventually, the hardest task of all, trusting them to write the rest of their own story.This is not a career planning guide, and it will not tell you which jobs will survive the next decade. It is a book about the psychology of guiding another human being through genuine uncertainty without transmitting your own fear as fact.Inside, you will discover how to: - Recognize when your own hard won experience has quietly become an outdated map- Teach your child to build an internal compass instead of handing them fixed coordinates- Tell the difference between your child's confusion and an actual problem- Help your child develop genuine self knowledge before external achievement- Build a family culture where failure is treated as information, not a verdict- Support risk taking and decision making without demanding false certainty- Recognize and work with your child's specific temperament, rather than a one size fits all approach- Widen your child's sense of what is possible through mentorship and exposure- Raise a child who can evaluate information and think independently- Talk about money honestly, as a tool for freedom rather than a scoreboard- Support your child through disruption and setbacks with real, practiced resilience- Release your own hopes for your child's life in favor of genuine trust in who they are becomingWritten with intellectual honesty, real compassion, and zero shallow reassurance, this book is for parents facing the same fear every generation has faced, and for those ready to meet it with something more durable than certainty.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Every generation gets a story too good to question. A flower that could buy a house. A railway that would never stop growing. A stock market that had supposedly entered a new era where the old rules no longer applied. Each time, something real sat underneath the story. And each time, the story eventually asked more of that real thing than it could deliver on schedule.Artificial intelligence may be the most consequential version of this pattern in a lifetime. Trillions of dollars are being committed to data centers, chips, and infrastructure at a pace that outstrips almost every technology buildout in modern history. The companies involved are among the most profitable in the world. The product is already used by hundreds of millions of people every day. None of that is in question.What is worth asking, calmly and without hysteria, is whether the size and speed of the financial bet now matches what the technology can prove, and on what timeline.The Pattern Recognition Problem walks through four centuries of financial manias, from a Dutch flower market to a Japanese real estate collapse to the dot-com crash, and lays each one next to the AI buildout happening right now. Not to declare a verdict in advance, but to hand readers a framework built from history's clearest evidence: what a bubble's early warning signs actually look like, what makes some buildouts survive their own excess while others do not, and how the people involved, from famous scientists to ordinary retirees, made the decisions that determined whether they came out ahead or ruined.This is not a prediction. No one who has studied financial history closely enough would offer one with real confidence. It is a way of thinking clearly about a moment that will shape portfolios, careers, and retirement plans for years to come, written for readers with no finance background and no patience for jargon.Readers will come away with: - A clear, non-technical understanding of how financial manias form, accelerate, and resolve, drawn from real historical cases across four hundred years- A close, evidence-based look at how the AI buildout compares to, and differs from, previous technology bubbles- A set of practical, non-prescriptive questions for assessing personal financial exposure to any concentrated bet, whatever the technology or era- A grounded, honest account of what could plausibly happen next, across several distinct scenarios, without false certainty in any directionWritten in a story-driven, conversational style, The Pattern Recognition Problem treats readers as capable adults who deserve nuance rather than alarm or hype. It is a book for anyone with money in the market, a retirement account, or simple curiosity about whether history has anything useful to say about the biggest financial story of the decade.…

Taschenbuch. Zustand: Neu. Neuware - Why do two people with identical strategies end up with opposite financial outcomes One retires wealthy. The other dies broke. Same discipline. Same intelligence. Same decisions. The difference isn't skill. It's luck.This is the uncomfortable truth about money that nobody discusses openly. Luck plays a far larger role in financial outcomes than success stories acknowledge. We celebrate wealthy investors as geniuses when some got lucky. We blame struggling families as irresponsible when some got unlucky. The confusion between skill and fortune creates dangerous certainty about uncertain outcomes.The Luck Factor reveals how randomness shapes financial life and, more importantly, how to build wealth that survives it. Through compelling stories of investors, entrepreneurs, and everyday people, this book exposes the hidden role of timing, chance, and unpredictable events in determining who succeeds and who fails.You'll discover why extreme outcomes regress to the mean, why good decisions sometimes produce bad results, why leverage destroys even brilliant strategies, and why the best investors aren't those who optimize returns but those who survive long enough for time to work.This isn't about becoming pessimistic or passive. It's about intellectual honesty that leads to robust strategies. The people who thrive over decades share something: they distinguish luck from skill in their successes, prepare for outcomes they can't predict, build margin for inevitable errors, and avoid leverage that amplifies randomness.The goal isn't eliminating luck, you can't. The goal is building finances that work despite luck.Whether you're starting out or financially established, these principles transform how you save, invest, and make decisions. You'll learn to separate process from outcomes, prepare for multiple futures instead of predicting one, and optimize for survival rather than peak returns.Because over decades, survival beats genius. Lasting beats brilliant. And staying in the game is the ultimate strategy.…

Taschenbuch. Zustand: Neu. Neuware - Why do smart people make terrible investors They know the math. They understand compound interest. They've read the books. Yet they still panic during crashes, chase hot stocks during booms, and abandon working strategies during boring years. The knowledge is free and widely available. The patience is rare and nearly impossible.The Long Game isn't another book about what to do with your money. It's a book about why you can't do what you already know you should do.Through unforgettable stories of investors who built wealth slowly and those who destroyed it quickly, Morgan Housel-style behavioral insights, and hard-won wisdom from a century of market history, this book explores the single factor that matters more than intelligence, timing, or strategy: time allowed to compound without interruption.You'll discover: - Why the first decade of investing feels pointless but matters most- How the 'envy years' destroy more wealth than market crashes- Why building before you need it is exponentially easier than building during crisis- The asymmetry of time that makes your early years ten times more valuable than your late years- Why patience is competitive advantage in a world optimized for impatience- How time heals financial wounds if you give it time to workThis book is for you if: - You understand investing intellectually but struggle with it emotionally- You've abandoned strategies during crashes or chased returns during booms- You feel left behind when others get rich quickly- You want to understand why boring consistency beats exciting complexity- You're willing to play a different game than everyone else is playingWhat you won't find: - Stock picks or market predictions- Get-rich-quick schemes or shortcuts- Complex strategies requiring constant attention- Claims that patience is easy or that markets are predictableWhat you will find: - Honest exploration of why long-term thinking is psychologically brutal- Stories that reveal principles rather than preaching them- Understanding of your own behavior that makes better choices possible- Permission to be boring while others chase excitement- Proof that time works for those who give it timeMost investment advice tells you what to do. This book helps you understand why you don't do it, and how to build the patience that cannot be bought.The long game is simple. Not easy. But simple. Give time enough time. Don't interrupt. Don't break. Don't quit. Let time work.Few play it. Fewer win it. Time rewards those who wait.…

Taschenbuch. Zustand: Neu. Neuware - Mara Venn restores memories for the bereaved, one careful reconstruction at a time. She knows that a memory can feel true without being proof. Then a sealed archive arrives from a dead stranger. The voice inside knows the private name of the brother Mara lost nineteen years ago. It carries a red scarf, a ferry in the dark, and a warning that refuses to stay buried: if one of us gets out, do not let the other become a story. As Mara investigates the archive, she discovers that her father's company once tried to preserve a person through memory. The experiment failed, or succeeded in a way no one can safely name. Now the company wants to present the voice as a miracle, while Mara must decide what she owes the dead, what can be taken from a memory, and whether identity is something we recover, inherit, recognize, or choose. The Person Who Remains is a philosophical literary mystery about grief, family secrets, memory, consent, and the unfinished work of becoming oneself.…

Taschenbuch. Zustand: Neu. Neuware - Most AI books stop at the model. This one starts where models need to live: in production, under real load, with real data, and real consequences for failure. Designing AI-Intensive Applications covers the full infrastructure stack that separates impressive AI demonstrations from reliable AI products-from the streaming pipelines and feature stores that feed models with high-quality data, through the vector databases and RAG systems that give models access to knowledge, to the LLM serving clusters and agentic frameworks that deploy AI capabilities at scale. Written by a principal AI infrastructure architect with sixteen years of production experience, this book provides concrete architectural patterns, operational disciplines, and engineering principles drawn from systems serving hundreds of millions of users. You will learn how to design feature stores that eliminate training-serving skew, build vector databases that serve billions of embedding queries, architect RAG systems that retrieve with precision and generate with accuracy, scale LLM serving clusters that handle thousands of concurrent inference requests, implement MLOps pipelines that keep models continuously improving, and operate AI systems that remain reliable when components fail. Whether you are building your first AI-powered product or scaling an existing AI platform, this book gives you the technical depth and practical wisdom to build AI systems that actually work-not just in demonstrations, but in production, at three in the morning, when everything matters. Topics covered include: data lakehouse architecture, Apache Kafka and Flink for streaming AI, feature stores and point-in-time correct retrieval, distributed ML training, model serving with vLLM and Triton, embeddings and vector search, HNSW and IVF index structures, RAG system design and evaluation, real-time AI architecture, LLM inference optimization, agentic AI systems, MLOps and CI/CD for ML, model drift detection, fault tolerance and graceful degradation, horizontal and vertical scaling, and responsible AI architecture.…