UID:
kobvindex_INTEBC6173692
Format:
1 online resource (307 pages)
Edition:
1st ed.
ISBN:
9781119694380
Note:
Cover -- Praise For This Book -- Title Page -- Copyright -- About the Authors -- Acknowledgments -- Contents at a Glance -- Contents -- Foreword for Smarter Data Science -- Epigraph -- Preamble -- Chapter 1 Climbing the AI Ladder -- Readying Data for AI -- Technology Focus Areas -- Taking the Ladder Rung by Rung -- Constantly Adapt to Retain Organizational Relevance -- Data-Based Reasoning Is Part and Parcel in the Modern Business -- Toward the AI-Centric Organization -- Summary -- Chapter 2 Framing Part I: Considerations for Organizations Using AI -- Data-Driven Decision-Making -- Using Interrogatives to Gain Insight -- The Trust Matrix -- The Importance of Metrics and Human Insight -- Democratizing Data and Data Science -- Aye, a Prerequisite: Organizing Data Must Be a Forethought -- Preventing Design Pitfalls -- Facilitating the Winds of Change: How Organized Data Facilitates Reaction Time -- Quae Quaestio (Question Everything) -- Summary -- Chapter 3 Framing Part II: Considerations for Working with Data and AI -- Personalizing the Data Experience for Every User -- Context Counts: Choosing the Right Way to Display Data -- Ethnography: Improving Understanding Through Specialized Data -- Data Governance and Data Quality -- The Value of Decomposing Data -- Providing Structure Through Data Governance -- Curating Data for Training -- Additional Considerations for Creating Value -- Ontologies: A Means for Encapsulating Knowledge -- Fairness, Trust, and Transparency in AI Outcomes -- Accessible, Accurate, Curated, and Organized -- Summary -- Chapter 4 A Look Back on Analytics: More Than One Hammer -- Been Here Before: Reviewing the Enterprise Data Warehouse -- Drawbacks of the Traditional Data Warehouse -- Paradigm Shift -- Modern Analytical Environments: The Data Lake -- By Contrast -- Indigenous Data -- Attributes of Difference
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Elements of the Data Lake -- The New Normal: Big Data Is Now Normal Data -- Liberation from the Rigidity of a Single Data Model -- Streaming Data -- Suitable Tools for the Task -- Easier Accessibility -- Reducing Costs -- Scalability -- Data Management and Data Governance for AI -- Schema-on-Read vs. Schema-on-Write -- Summary -- Chapter 5 A Look Forward on Analytics: Not Everything Can Be a Nail -- A Need for Organization -- The Staging Zone -- The Raw Zone -- The Discovery and Exploration Zone -- The Aligned Zone -- The Harmonized Zone -- The Curated Zone -- Data Topologies -- Zone Map -- Data Pipelines -- Data Topography -- Expanding, Adding, Moving, and Removing Zones -- Enabling the Zones -- Ingestion -- Data Governance -- Data Storage and Retention -- Data Processing -- Data Access -- Management and Monitoring -- Metadata -- Summary -- Chapter 6 Addressing Operational Disciplines on the AI Ladder -- A Passage of Time -- Create -- Stability -- Barriers -- Complexity -- Execute -- Ingestion -- Visibility -- Compliance -- Operate -- Quality -- Reliance -- Reusability -- The xOps Trifecta: DevOps/MLOps, DataOps, and AIOps -- DevOps/MLOps -- DataOps -- AIOps -- Summary -- Chapter 7 Maximizing the Use of Your Data: Being Value Driven -- Toward a Value Chain -- Chaining Through Correlation -- Enabling Action -- Expanding the Means to Act -- Curation -- Data Governance -- Integrated Data Management -- Onboarding -- Organizing -- Cataloging -- Metadata -- Preparing -- Provisioning -- Multi-Tenancy -- Summary -- Chapter 8 Valuing Data with Statistical Analysis and Enabling Meaningful Access -- Deriving Value: Managing Data as an Asset -- An Inexact Science -- Accessibility to Data: Not All Users Are Equal -- Providing Self-Service to Data -- Access: The Importance of Adding Controls -- Ranking Datasets Using a Bottom-Up Approach for Data Governance
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How Various Industries Use Data and AI -- Benefiting from Statistics -- Summary -- Chapter 9 Constructing for the Long-Term -- The Need to Change Habits: Avoiding Hard-Coding -- Overloading -- Locked In -- Ownership and Decomposition -- Design to Avoid Change -- Extending the Value of Data Through AI -- Polyglot Persistence -- Benefiting from Data Literacy -- Understanding a Topic -- Skillsets -- It's All Metadata -- The Right Data, in the Right Context, with the Right Interface -- Summary -- Chapter 10 A Journey's End: An IA for AI -- Development Efforts for AI -- Essential Elements: Cloud-Based Computing, Data, and Analytics -- Intersections: Compute Capacity and Storage Capacity -- Analytic Intensity -- Interoperability Across the Elements -- Data Pipeline Flight Paths: Preflight, Inflight, Postflight -- Data Management for the Data Puddle, Data Pond, and Data Lake -- Driving Action: Context, Content, and Decision-Makers -- Keep It Simple -- The Silo Is Dead -- Long Live the Silo -- Taxonomy: Organizing Data Zones -- Capabilities for an Open Platform -- Summary -- Glossary of Terms -- Index -- EULA
Additional Edition:
Print version Fishman, Neal Smarter Data Science Newark : John Wiley & Sons, Incorporated,c2020 ISBN 9781119693413
Language:
English
Keywords:
Electronic books
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Electronic books
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