Reimagining businesses with AI
"Most organizations who see their survival and success in the future are making artificial intelligence (AI) a part of their core agenda, but their leaders also struggle with developing a roadmap for how to reimagine their world with AI. This book is intended to help both business and technolog...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
[2021]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630822706719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright Page
- Contents
- Acknowledgments
- Chapter 1 Introduction
- Evolution of AI
- The 1950s - The Nativity Era
- The 1960s - The Foundation Era
- The 1970s - The First Winter Era
- The 1980s - The Resurrection Era
- The Brief Interlude
- The 1990s and 2000s - The Second Revival
- The 2010s - The Renaissance Era
- AI and Its Branches
- A Bit about Algorithms
- Critical Success Factors for AI Initiatives
- Purpose and Structure of the Book
- References
- Chapter 2 Building a Framework for Applying AI
- Introduction
- Identifying the Future State
- Step 1: Create a Customer-Back Engagement Journey Map
- Step 2: Identify Decision Points
- Step 3: Build the Business Value-Chain
- The Efficient Frontier Model
- Design Thinking Model
- Building the Technology Strategy
- Defining the Business Case
- Creating the Solution Roadmap
- Identifying AI Capabilities
- Sense
- Learn
- Predict
- Optimize
- Entropy
- Establishing a Governance Process
- Summary
- References
- Chapter 3 Transforming Healthcare with AI
- Introduction
- Understanding the Macroscopic Factors Driving Smart Capabilities in the Future of the Healthcare Industry
- The Critical Role of AI in the Healthcare of the Future
- Personal Health Cloud
- Smart Hospitals of the Future
- AI Applications in Healthcare
- Personalized Treatment Programs
- Telediagnostics
- Drug Discovery
- Robotic Surgeries
- Emergency Response
- Capacity Planning and Management
- Energy Prediction and Diagnostics
- Predictive Asset Maintenance
- Model Predictive Maintenance
- Asset Tracking and Utilization
- Alarm Noise Suppression
- Compliance Management
- Cybersecurity and Privacy Assurance
- Data Veracity
- Business Models of the Future in Healthcare
- Summary--Higher Education
- Corporate Learning
- Executive Education in AI
- Summary
- References
- Chapter 5 Transforming Transportation with AI
- Introduction
- Understanding the Macroscopic Factors Influencing the Future of the Transportation Industry
- Urbanization
- Workplace Dislocation
- Gig Economy
- Changing Demographic Preferences
- Sustainability
- Getting Ready for Autonomous Vehicles
- How AI Will Change the Transportation Industry of the Future
- Autonomous Driving
- Convergence of Mobility
- Vehicle Ownership Models
- Fuel Economy
- Logistics
- Space Exploration
