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Enterprise artificial intelligence transformation : a playbook for the next generation of business and technology leaders /

"Enterprise Artificial Intelligence Transformation helps business and technology professionals master the segments of the AI market that relate to them and achieve, maintain, and grow successful and cost-effective AI. Readers will learn to build and sustain an AI organizational capability at sc...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Haq, Rashed (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2020]
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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100 1 |a Haq, Rashed,  |e author. 
245 1 0 |a Enterprise artificial intelligence transformation :  |b a playbook for the next generation of business and technology leaders /  |c Rashed Haq. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c [2020] 
300 |a 1 online resource (xxiv, 342 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a "Enterprise Artificial Intelligence Transformation helps business and technology professionals master the segments of the AI market that relate to them and achieve, maintain, and grow successful and cost-effective AI. Readers will learn to build and sustain an AI organizational capability at scale. The author takes a dual analytic and instructional approach, enabling readers to come away confident in their ability to utilize AI effectively. Topics covered include: Crafting an AI strategy Machine learning, deep learning, and semantic modeling Creating and managing an AI Center of Excellence Risk management, and Real-world AI use cases"--  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on June 26, 2020). 
505 0 |a Cover -- Title Page -- Copyright Page -- Contents -- Foreword: Artificial Intelligence and the New Generation of Technology Building Blocks -- Prologue: A Guide to This Book -- PART I A Brief Introduction to Artificial Intelligence -- Chapter 1 A Revolution in the Making -- The Impact of the Four Revolutions -- AI Myths and Reality -- The Data and Algorithms Virtuous Cycle -- The Ongoing Revolution -- Why Now? -- AI: Your Competitive Advantage -- Chapter 2 What Is AI and How Does It Work? -- The Development of Narrow AI -- The First Neural Network -- Machine Learning. 
505 8 |a Types of Uses for Machine Learning -- Types of Machine Learning Algorithms -- Supervised, Unsupervised, and Semisupervised Learning -- Making Data More Useful -- Semantic Reasoning -- Applications of AI -- PART II Artificial Intelligence in the Enterprise -- Chapter 3 AI in E-Commerce and Retail -- Digital Advertising -- Marketing and Customer Acquisition -- Cross-Selling, Up-Selling, and Loyalty -- Business-to-Business Customer Intelligence -- Dynamic Pricing and Supply Chain Optimization -- Digital Assistants and Customer Engagement -- Chapter 4 AI in Financial Services -- Anti-Money Laundering. 
505 8 |a Loans and Credit Risk -- Predictive Services and Advice -- Algorithmic and Autonomous Trading -- Investment Research and Market Insights -- Automated Business Operations -- Chapter 5 AI in Manufacturing and Energy -- Optimized Plant Operations and Assets Maintenance -- Automated Production Lifecycles -- Supply Chain Optimization -- Inventory Management and Distribution Logistics -- Electric Power Forecasting and Demand Response -- Oil Production -- Energy Trading -- Chapter 6 AI in Healthcare -- Pharmaceutical Drug Discovery -- Clinical Trials -- Disease Diagnosis. 
505 8 |a Preparation for Palliative Care -- Hospital Care -- PART III Building Your Enterprise AI Capability -- Chapter 7 Developing an AI Strategy -- Goals of Connected Intelligence Systems -- The Challenges of Implementing AI -- AI Strategy Components -- Steps to Develop an AI Strategy -- Some Assembly Required -- Creating an AI Center of Excellence -- Building an AI Platform -- Defining a Data Strategy -- Moving Ahead -- Chapter 8 The AI Lifecycle -- Defining Use Cases -- Collecting, Assessing, and Remediating Data -- Data Instrumentation -- Data Cleansing -- Data Labeling -- Feature Engineering. 
505 8 |a Selecting and Training a Model -- Managing Models -- Testing, Deploying, and Activating Models -- Testing -- Governing Model Risk -- Deploying the Model -- Activating the Model -- Production Monitoring -- Conclusion -- Chapter 9 Building the Perfect AI Engine -- AI Platforms versus AI Applications -- What AI Platform Architectures Should Do -- Some Important Considerations -- Should a System Be Cloud-Enabled, Onsite at an Organization, or a Hybrid of the Two? -- Should a Business Store Its Data in a Data Warehouse, a Data Lake, or a Data Marketplace? 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Business enterprises  |x Technological innovations. 
650 0 |a Artificial intelligence  |x Economic aspects. 
650 0 |a Organizational learning. 
650 0 |a Organizational effectiveness. 
650 6 |a Entreprises  |x Innovations. 
650 6 |a Intelligence artificielle  |x Aspect économique. 
650 6 |a Apprentissage organisationnel. 
650 6 |a Efficacité organisationnelle. 
650 7 |a BUSINESS & ECONOMICS / Office Automation.  |2 bisacsh 
650 7 |a Artificial intelligence  |x Economic aspects  |2 fast 
650 7 |a Business enterprises  |x Technological innovations  |2 fast 
650 7 |a Organizational effectiveness  |2 fast 
650 7 |a Organizational learning  |2 fast 
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