The AI-Enabled Enterprise Data Management Bible

The AI-Enabled Enterprise Data Management Bible: Everything you need to know about Enterprise Data Management (EDM), co-authored using Chat GPT (an AI chatbot) by Paul Jones
English | January 1, 2023 | ISBN: N/A | ASIN: B0BRJSPGQY | 917 pages | MOBI | 0.77 Mb
The AI-Enabled Enterprise Data Management Bible is the ultimate guide to maximizing the benefits of Enterprise Data Management (EDM) for your organization.

Co-authored using the Open AI chatbot, Chat GPT (used as a tool to accelerate and enable the writing process), this book is packed with valuable information and insights on every aspect of EDM.
From strategy to value delivery, this comprehensive textbook covers it all. It also delves into hot topics like Artificial Intelligence, Data Mesh and Data Fabric, providing a well-rounded understanding of the current state of the field.
And this is more than just a valuable resource on EDM – it’s also a glimpse into the potential future of content creation, and includes a summary of the process followed to create the book using AI, a review of some of the ethical considerations, and a chapter on Chat GPT Business Opportunities.
Don’t miss out on this essential guide to optimizing your organization’s use of EDM. Get your copy of today and start realizing the full potential of your data.
Contents
The book contains the following chapters, offering a comprehensive overview of key Enterprise Data Management topics:Enterprise Data ManagementEnterprise Data StrategyEnterprise Data Policies and StandardsEnterprise Data GovernanceEnterprise Metadata ManagementEnterprise Data Quality ManagementEnterprise Data ArchitectureEnterprise Data IntegrationEnterprise Master Data ManagementEnterprise Reference Data ManagementEnterprise Data LineageEnterprise Records ManagementEnterprise Data PrivacyEnterprise Data SecurityEnterprise Reporting and Insights (MI, BI, Data Viz)Enterprise Data AnalyticsEnterprise Artificial Intelligence & Machine LearningEnterprise Data LiteracyEnterprise Data CultureEnterprise Data Management by DesignData MeshData FabricChat GPT Business OpportunitiesKey questions
Each chapter covers the following at a minimum, and most cases even more:What is it?A description in terms a young child would understandAn analogy to describe itThe difference between the topic at an enterprise-level and a system-level or local-levelThe steps to roll it outThe processes you need to run itThe key business outcomes delivered by itA short story, which describes how it works in practice to deliver valueTechnologies used to support itThe 5 most common pitfalls in rolling it outCritical success factors for rolling it outThe team you need to roll it outMeasures for tracking successWhy should a Chief Executive Officer (CEO) care?Why should a Chief Marketing Officer (CMO) care?Why should a Chief Financial Officer (CFO) care?Why is it important for Artificial Intelligence (AI)?Job description for a "Head of" role who would lead the delivery and operation of it

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