The AI ladder : accelerate your journey to AI /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Thomas, Rob (Autor), Zikopoulos, Paul (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc., [2020]
Temas:
Business enterprises > Technological innovations.
Entreprises > Innovations.
Business enterprises > Technological innovations
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Intro
  • Preface
  • Who This Book Is For
  • O'Reilly Online Learning
  • How to Contact Us
  • Acknowledgments from the Authors
  • Acknowledgments from Paul Zikopoulos
  • 1. What in the AI? How Did We Get Here?
  • Collecting Data in Real Time, but Understanding It in Stale Time
  • The Modality of Everything and the Data Collection Curve
  • Even Steeper: The Future of the Data Collection Curve
  • Where We Are Now-Haystacks, Needles, and More Data
  • How to Displace Today's Disruptors
  • Let's Get Ready for a Climb!
  • 2. The Journey to AI
  • What Is Artificial Intelligence, Anyway?
  • Types of AI
  • Data
  • Models
  • Where AI Has Been
  • What Does AI Mean for Business?
  • The Journey to AI
  • All Radically New Technologies Face Resistance
  • Where Are We Now? And Where Are We Going?
  • Moving Forward
  • 3. How to Overcome AI Failures and Challenges
  • AI's Emergence in Business Today
  • Data
  • Computing Power
  • Investment
  • Early Examples of AI Success
  • Example: Vodafone's TOBi Transforms the Customer Experience
  • Example: How a French Bank Built on Its Strength of Quality Customer Service
  • Early AI Failures
  • AI Challenges: Data, Talent, Trust
  • AI Challenge: Data
  • AI Challenge: Talent
  • High demand, low supply for potential employees
  • Culture inhibitors
  • Siloed people and departments
  • AI Challenge: Trust
  • Fairness
  • Explainability
  • Robustness
  • Transparency and accountability
  • Value alignment
  • Overcoming Challenges with Advanced Research and Products
  • Overcoming Challenges with the Right Partner
  • 4. The AI Ladder: A Path to Organizational Transformation
  • Suitability of AI
  • Determining the Right Business Problems to Solve with AI
  • Building a Data Team
  • Putting the Budget in Place
  • Developing an Approach
  • There Is No AI Without IA
  • The AI Ladder
  • Collect
  • Organize
  • Analyze
  • Infuse
  • Simplify, Automate, and Transform
  • 5. Modernize Your Information Architecture
  • A Modern Infrastructure for AI
  • All Parts Are Visible
  • Legacy Systems Are Made Accessible or Eliminated
  • Example: Network Rail uses AI to modernize its infrastructure
  • All Parts of the System Are Continuously Monitored
  • Inefficiencies Are Identified and Removed
  • New Architectures for IT
  • Data: The Fuel
  • Cloud: The Means
  • To the Cloud, and Beyond: Cloud as Capability
  • Fuel for the Fire
  • From Databases to Data Warehouses, Data Marts, and Data Lakes
  • Example: Wireless Carrier Architects a Solution Using Both a Data Lake and a Data Warehouse
  • Data Virtualization
  • Unifying Access to Data Through Big SQL
  • Object Storage as the Preferred Fabric
  • Open Data Stores and Open Data Formats
  • Next-Generation Databases
  • The Power of an AI Database
  • Streaming Data
  • Get the Right Tools
  • The Importance of Open Source Technologies
  • Community Thinking and Culture
  • High Code and Component Quality
  • Real Examples of Modernizing IT Infrastructure

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