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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: 978-1-032-66133-9
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: 9781032661339
  • Medium: Buch
  • ISBN: 978-1-032-66133-9
  • Verlag: Chapman and Hall/CRC
  • Erscheinungstermin: 05.09.2024
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2024
  • Serie: Chapman & Hall/CRC Data Science Series
  • Produktform: Gebunden, HC gerader Rücken kaschiert
  • Gewicht: 505 g
  • Seiten: 222
  • Format (B x H x T): 161 x 240 x 17 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

ABOUT THE AUTHORS

FOREWORD

INTRODUCTION

The Sepsis Scourge

An Epic Challenge

A Focus on Failures: The Purpose Behind Our Literary Venture

The Epic Battle

Beyond the Clickbait: When Headlines Just Scratch the Surface

Data-driven Projects are Complex

Begin Your Journey to Outsmart Failure

Critical Thinking: How Not to Fail

Introduction Bibliography

ANALYTICALLY IMMATURE ORGANIZATIONS

The AI Hype

Mapping the Terrain: Prior Insights

What Happened to Best Practices?

What Counts as an ADSAI Failure?

Our Thesis

Facing Challenges

Critical Thinking: How Not to Fail

Chapter 1 Bibliography

STRATEGY

RetailCo’s Strategic Nightmare

The Difficult and Critical Role of Strategy7Failing to Build Organizational Need

Not Understanding the Real Business Problem

The Problem with Selecting Good Business Problems

Mike’s Story: AI in the Outback

Putting the Cart (Technology) Before the Horse (Business)

The Solution: Put Economics Back in the Driver’s Seat

Resolving Mike’s AI Investment Challenge

Solving a Problem That is Not a Business Priority

WayBlazer: Companies Will Not Always Pay for the Fancier Mousetrap

Challenges in Aligning Vision, Strategy, and Measuring Success

Lack of Leadership Buy-in

Critical Thinking: How Not to Fail

Chapter 2 Bibliography

PROCESS

Data Quality and Reliability Issues

Let the Data Hunt Begin

(Un)reasonable Expectations

Houston, We Have a Communication Problem

Presenting the Message

Breaking Down Silos

Starting Small and Simple

Project Management for ADSAI

Asking the Right Questions

Critical Thinking: How Not to Fail

Chapter 3 Bibliography

PEOPLE

Lacking the Right Resources

The New Digital Divide

Analytics (or AI) Translators

Where Do You Find Analytics Translators?

Strengthening ADSAI Curricula

Analytically-driven Leadership

Change Management

Justification for Change

Critical Thinking: How Not to Fail

Chapter 4 Bibliography

TECHNOLOGY

Model Mishaps

Misapplying the (Right or Wrong) Model

Keep it Simple: Overemphasizing the Model, Technique, or Technology

From Sandbox Model to Production System

Tools Make Mistakes

The Final Hurdle: Proper Data and Tool Infrastructure

Critical Thinking: How Not to Fail

Chapter 5 Bibliography

ANALYTICALLY MATURE ORGANIZATIONS

(More) Real-life Failures

Outside Influences

Humility

Small Stumbles, Solid Outcome

The Journey to Perfection

Critical Thinking: How Not to Fail

Chapter 6 Bibliography

CONCLUSION

Continuing the Success

Strategy

Process

People

Technology

Summary

Final Words

Critical Thinking: How Not to Fail

Conclusion Bibliography