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200319s2020 njuab ob 001 0 eng |
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|a 2019056748
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|a DLC
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|a GBC049435
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|a 019760109
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|a 1159164758
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|a 9781119665977
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|a 9781119665977
|b Wiley
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|a pcc
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|a HD45
|b .H327 2020
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|a 006.3068
|2 23
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049 |
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|a UAMI
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100 |
1 |
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|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 |
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|a 1 online resource (xxiv, 342 pages) :
|b illustrations, maps
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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504 |
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|a Includes bibliographical references and index.
|
520 |
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|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 |
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|a Description based on online resource; title from digital title page (viewed on June 26, 2020).
|
505 |
0 |
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|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.
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505 |
8 |
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|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 |
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|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 |
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|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 |
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|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 |
|
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|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
|0 (OCoLC)fst00817256
|
650 |
|
7 |
|a Business enterprises
|x Technological innovations.
|2 fast
|0 (OCoLC)fst00842646
|
650 |
|
7 |
|a Organizational effectiveness.
|2 fast
|0 (OCoLC)fst01047852
|
650 |
|
7 |
|a Organizational learning.
|2 fast
|0 (OCoLC)fst01047870
|
776 |
0 |
8 |
|i Print version:
|a Haq, Rashed.
|t Enterprise artificial intelligence transformation
|b First Edition.
|d Hoboken : Wiley, 2020.
|z 9781119665939
|w (DLC) 2019056747
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781119665939/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
938 |
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|a Recorded Books, LLC
|b RECE
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|a ProQuest Ebook Central
|b EBLB
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|a EBSCOhost
|b EBSC
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