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Gray / Shellshear

Why Data Science Projects Fail

The Harsh Realities of Implementing AI and Analytics, without the Hype

Medium: Buch
ISBN: 978-1-032-66030-1
Verlag: Chapman and Hall/CRC
Erscheinungstermin: 05.09.2024
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The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven.

This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don’t fully understand everything that really goes into data science projects, then a stunning 80% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether.

For the first time, business leaders, practitioners, students, and interested laypeople will learn what really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.

Produkteigenschaften

  • Artikelnummer: 9781032660301
  • Medium: Buch
  • ISBN: 978-1-032-66030-1
  • Verlag: Chapman and Hall/CRC
  • Erscheinungstermin: 05.09.2024
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2024
  • Serie: Chapman & Hall/CRC Data Science Series
  • Produktform: Kartoniert, Paperback
  • Gewicht: 348 g
  • Seiten: 222
  • Format (B x H x T): 156 x 234 x 13 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

ABOUT THE AUTHORSFOREWORDINTRODUCTIONThe Sepsis ScourgeAn Epic ChallengeA Focus on Failures: The Purpose Behind Our Literary VentureThe Epic BattleBeyond the Clickbait: When Headlines Just Scratch the SurfaceData-driven Projects are ComplexBegin Your Journey to Outsmart FailureCritical Thinking: How Not to FailIntroduction BibliographyANALYTICALLY IMMATURE ORGANIZATIONSThe AI HypeMapping the Terrain: Prior InsightsWhat Happened to Best Practices?What Counts as an ADSAI Failure?Our ThesisFacing ChallengesCritical Thinking: How Not to FailChapter 1 BibliographySTRATEGYRetailCo's Strategic NightmareThe Difficult and Critical Role of Strategy7Failing to Build Organizational NeedNot Understanding the Real Business ProblemThe Problem with Selecting Good Business ProblemsMike's Story: AI in the OutbackPutting the Cart (Technology) Before the Horse (Business)The Solution: Put Economics Back in the Driver's SeatResolving Mike's AI Investment ChallengeSolving a Problem That is Not a Business PriorityWayBlazer: Companies Will Not Always Pay for the Fancier MousetrapChallenges in Aligning Vision, Strategy, and Measuring SuccessLack of Leadership Buy-inCritical Thinking: How Not to FailChapter 2 BibliographyPROCESSData Quality and Reliability IssuesLet the Data Hunt Begin(Un)reasonable ExpectationsHouston, We Have a Communication ProblemPresenting the MessageBreaking Down SilosStarting Small and SimpleProject Management for ADSAIAsking the Right QuestionsCritical Thinking: How Not to FailChapter 3 BibliographyPEOPLELacking the Right ResourcesThe New Digital DivideAnalytics (or AI) TranslatorsWhere Do You Find Analytics Translators?Strengthening ADSAI CurriculaAnalytically-driven LeadershipChange ManagementJustification for ChangeCritical Thinking: How Not to FailChapter 4 BibliographyTECHNOLOGYModel MishapsMisapplying the (Right or Wrong) ModelKeep it Simple: Overemphasizing the Model, Technique, or TechnologyFrom Sandbox Model to Production SystemTools Make MistakesThe Final Hurdle: Proper Data and Tool InfrastructureCritical Thinking: How Not to FailChapter 5 BibliographyANALYTICALLY MATURE ORGANIZATIONS(More) Real-life FailuresOutside InfluencesHumilitySmall Stumbles, Solid OutcomeThe Journey to PerfectionCritical Thinking: How Not to FailChapter 6 BibliographyCONCLUSIONContinuing the SuccessStrategyProcessPeopleTechnologySummaryFinal WordsCritical Thinking: How Not to FailConclusion Bibliography