The Discipline Advantage: Why Some Organizations Win with AI - and Most Just Spend

Kindle Edition or EPUB + Converted PDF نویسندگان: Dan Case, David Berry
جزئیات
فرمت: Kindle Edition or EPUB + Converted PDF تاریخ انتشار نسخه الکترونیکی : April 26, 2026
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لینک: https://www.amazon.com/dp/B0GX2WSDX3
توضیحات
The meeting already happened. Someone asked what your AI investment has returned. You didn't have a clean answer.The organizations behind the last decade's most visible AI failures ran the same technology that worked elsewhere. Watson-based oncology AI failed at MD Anderson; Cleveland Clinic ran AI-assisted diagnostics across its cardiology practice with measurable clinical outcomes. Amazon scrapped its AI recruiting tool; Unilever deployed AI screening for entry-level applicants and increased applications from underrepresented candidates by seventy percent. JPMorgan's COIN system eliminated 360,000 hours of annual manual work. McDonald's pulled its hundred-location AI pilot before the quarter ended.Same technology. Same period. Opposite outcomes.Research examining 51 enterprise AI deployments found that 95% of failures were traced to organizational factors, not technical ones. The organizations that succeeded had made five specific decisions before execution began. The ones that failed had skipped at least one. The Discipline Advantage names those five decisions the Discipline Staircase and proves each one with examples of organizations that got it right and those that didn't.- Intent. Four leaders can unanimously approve an initiative while holding four different definitions of what it is for. That gap is where most initiatives die.- Scope. MD Anderson's $62 million Watson failure didn't result from a single decision. It happened in twelve individually reasonable ones. A narrow scope produces evidence. Evidence earns expansion. - Workflow Truth. Epic's sepsis prediction model performed exactly as designed. The workflow it was designed for didn't exist. The gap between the documented process and the actual one determines whether a system gets used or gets worked around. - Data. The data you train on is a fossil record of how your organization actually operates, not how it was designed to operate. Amazon's recruiting tool learned exactly what it was taught. That was the problem. - Structure. When everyone is accountable for the outcome, no one is. NHS England's AI platform launched to 215 trusts. Fewer than 50 actively used it. This book is for the executive who approved the budget, owns the outcome, and is tired of explanations that don't explain anything. Not the technologist building the system. The leader whose name is attached to the result.Finish this book, and you can diagnose any AI initiative, including the one already running, and structure the next one so that when the board asks what it returned, you have an answer.
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