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Hitchcock R: FLOURISHING

FLOURISHING

The ultimate Guide to Working on your Business

In diesem Buch stellen führende Unternehmensberatungen und namhafte Managementforscher Lösungsvorschläge für unterschiedliche strategische Probleme, ihre Vorstellungen vom Ablauf der Beratungsprozesse und der strategischen Unternehmensführung sowie zum Management von Beratungsunternehmen vor. Umfassende theoretische und praxisnahe Informationen zeigen Konzeptionen, Vorgehensweisen und Erfolgsfaktoren professioneller Berater.

Konzeptionen - Prozesse - Methoden

Strategische Unternehmensberatung

Half your newsfeed says you're hopelessly behind on AI. The other half says it's a sham. Both are engineered to make you click - and both lead to the same place: paralysis. Because what passes for AI expertise right now is mostly a temporary information advantage masquerading as expertise. *Fair Game* is the way out. Rob Collie knows that paralysis firsthand. As CEO of a data consulting firm, he watched AI threaten to upend the very business he'd spent a decade building. When fear finally drove him to dig in, what he discovered was unexpected: AI success isn't really about AI. It's about data - and the software around it. Problems he's been solving for thirty years. This book is the distillation of what Collie and his team learned building real AI solutions for real businesses - not theorizing from a stage. *Fair Game* walks you through how AI systems actually work, not at the PhD level, and not at the hand-wavy keynote level, but at the Goldilocks level where real decisions get made. You'll learn: - A five-part recipe for AI success you can apply to any project - Why successful AI is always custom AI - and why "custom" is less scary than it sounds - How to evaluate any AI proposal, hire the right team, and know when you're being sold snake oil You'll understand everything from how LLMs actually work to why your proprietary business knowledge is the one thing AI can't get on its own - all without jargon and using analogies you'll actually remember. Each chapter ends with a practical cheatsheet you can bring to your next meeting. By the time you've finished, the five-part recipe won't feel like a framework. It'll feel like common sense. You don't need to become an engineer. You need to become an architect - someone who knows what to build, what to demand, and what to call BS on. Because AI isn't out of reach. It's fair game.

Customizing AI to Your Business Is Easier Than You Think

Fair Game

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Passionately Transforming Management

For years, the menopause was rarely spoken about - those who experienced it were often encouraged to do so quietly, without drawing attention to it. Whilst contemporary discussions have become more open around the subject, and gender-based medicine has made strides in its treatment, in mainstream discourse menopause is still addressed as a problem to be solved. This is often the case in the workplace, with 'menopause initiatives' being introduced in response to rising calls for action. But is the menopause even something that can be 'managed' by corporations, and does it even need to be? Passionately Transforming Management with Menopause refutes the assumption that better management of the menopause is a panacea for companies and employees. Rather, it repositions the basis of the discussion to explore how lived experiences of the menopause can transform and expand traditional parameters of management. Drawing on lived experiences from both their own lives and from those close to them, the authors address the reality of menopause both within and beyond the workplace. Using data generated from these discussions, the book investigates both the menopause management practices implemented throughout various sectors, and the holistic lives of those undergoing this transitional phase. Passionately Transforming Management with Menopause provides students, scholars and managers with an empowering and provocative guide to understanding and repurposing the topic of menopause in the workplace.

Passionately Transforming Management with Menopause

How Retail Revealed Apple’s Genius

Shop Different

David vs Goliath

Data Power, Digital Empires and the Future of Capitalism

The Rise of Datalism

Why Your Business Isn't Making the Money It Should and How to Fix It

The Profit Gap

Navigate the MBA research journey with clear methodology, structure and confidence. Research Methods for MBA Students by Emmanuel Mogaji is a concise and practical textbook designed for postgraduate students undertaking business research modules and projects. Recognizing the time pressures and applied focus of MBA and Masters programs, it provides a structured pathway for completing a dissertation or company-based research project within tight deadlines. Mirroring the key stages of the research process, the book guides students through topic selection, refining research questions, conducting a focused literature review and choosing appropriate qualitative or quantitative methods. It then supports effective data collection, rigorous analysis and the presentation of meaningful, actionable findings. A distinctive three-month completion framework provides a clear timeline that aligns with MBA program structures, helping students manage milestones and maintain momentum. Grounded in real-world examples from organizations including AstraZeneca, Bentley Motors, the NHS, Holland and Barrett and Railway Operators, Emmanuel Mogaji connects academic research principles with applied business problem solving. This textbook includes: - Clear learning outcomes aligned to postgraduate research modules - Worked examples demonstrating each stage of the research process - Key concepts and terms to support methodological understanding - Exercise questions and real-world examples with applied tasks - A structured three-month completion framework for project planning Supported by online lecturer slides and a comprehensive lecturer's manual with exercise answers, Research Methods for MBA Students equips postgraduate learners with the skills and structure needed to deliver credible, practice-oriented research.

Completing Projects and Dissertations

Research Methods for MBA Students

Das SAP Business Information Warehouse (BW) als Data Warehouse-Lösung hat eine zeitnahe Versorgung betrieblicher Entscheidungsträger mit relevanten Informationen zu Analysezwecken im Fokus. Basis hierfür sind die mehrdimensionalen Info-Cubes, deren Modellierung maßgeblich die Leistungsfähigkeit und erfolgreiche Nutzung eines BW-Systems beeinflusst. Dieses Buch verfolgt das Ziel, den gesamten Prozess der Gestaltung von Informationssystemen auf Basis des Business Information Warehouse darzustellen, adäquate Methoden zu präsentieren und Gestaltungsempfehlungen zu geben. Neben Aspekten der mehrdimensionalen Modellierung erfolgt auch eine Betrachtung von Aspekten des Enterprise Data Warehouse mit BW 7. Das Buch wendet sich an SAP-Berater und IT-Mitarbeiter, die mit der Implementierung eines BW-Systems betraut sind. Es ist als praktischer Leitfaden konzipiert und bietet neben dem Einstieg in das Thema auch ein fundiertes Nachschlagewerk für die tägliche Arbeit.

Mehrdimensionale Datenmodellierung und Enterprise Data Warehousing

SAP Business Information Warehouse

When an AI initiative dies, the machine takes the blame. It's almost always the wrong suspect. Every executive who has quietly shelved an AI project has the same explanation ready: the model underperformed, the vendor oversold, the technology "wasn't there yet." In Prevail: What Leaders Must Do Now That Machines Can't Manage, Dr. Tim Bottke argues that this story is a convenient way to avoid the real culprit - a chain of management decisions made long before anyone trained a model. The bug isn't in the technology. It's in us. Bottke turns two decades of decision data into a working diagnostic. PREVAIL starts at the ground floor, where leaders reach for the tool before they've named the problem, and moves up through data, experimentation, ownership, measurement, funding, and governance. The uncomfortable finding is that the damage concentrates on the ground floor and compounds as management builds on those decisions.&nbsp; Readers will discover: <ul> <li>Why AI initiatives fail and how to course correct before the budget is committed</li> <li>Chapter checklists that allow for a working audit</li> <li>Action lists for the operator fixing a rollout, the executive shaping a portfolio, and the board member or investor stress-testing a proposal</li> <li>The one question that predicts success better than anything: what problem does this solve?</li> <li>Composite case studies based on public filings that show each failure pattern in the wild, and the fix that would have caught it</li> <li>A shared vocabulary for boards, investors, and operators to pressure-test any AI proposal</li> <li>What the market actually does when companies admit an AI failure&nbsp;</li> </ul> &nbsp; Prevail is written for those who need something firmer than hype to judge what's in front of them.&nbsp;

What Leaders Must Do Because Machines Can't Manage

Prevail

FLOURISHING

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