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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Douglas Gray is a practitioner, leader, and educator with over 30 years of experience leading award-winning teams at industry luminaries in Analytics, including INFORMS Prize-winning American Airlines and Walmart. His teams have delivered advanced game-changing solutions in the airline operations, healthcare, and omnichannel retail supply chain domains which deliver hundreds of millions of dollars in business value and economic impact annually. He teaches Analytics and AI Strategy at Southern Methodist University (SMU) in the Executive MBA, Executive Education, and MS Data Science programs, and has published over a dozen articles on Analytics best practices and applications. Dr Evan Shellshear is an expert in artificial intelligence with a Ph.D. in Game Theory from the Nobel Prize winning University of Bielefeld in Germany. He has almost two decades of international experience in the development and design of AI tools for a variety of industries having worked with the world's top companies on all aspects of advanced analytical solutions from optimisation to machine learning in applications from HR to oil and gas, and robotics to supply chain. He is also the author of the Amazon best seller, Innovation Tools. Evan is currently based in Brisbane, Australia and is the CEO of a global AI digital platform.
Inhaltsangabe
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
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
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