9.1 Managing the End-to-End Process of Patient Experience—Two Case Studies by Carol Maginn9.1.1 Patient Case A9.1.2 Patient Case B9.1.3 Pricing Offers an Intuitively Simple Problem That Provides Use of the Most Complicated Mathematical Models9.2 Textual Extraction, Transformation, and Learning9.2.1 Some Sources of Textual Data9.2.1.1 Voice Recordings9.2.1.2 Printed Text9.2.1.3 Internet and Social Media9.2.1.4 Email9.2.1.5 Electronic Texts as a Source9.2.1.6 What Is a Taxonomy?9.2.1.7 What Is an Ontology?9.2.1.8 Language and Taxonomies9.2.1.9 Textual ETL and Taxonomies9.2.2 Two Examples of Analysis Types9.2.3 Correlative Analysis—An Introduction9.2.4 Sentiment Analysis—An Introduction9.2.5 The Semantic Layer9.3 Less Tech Is Often Better than More Tech in Pricing Solutions9.4 Data + Planning Is the Key to COVID Vaccine Center9.5 Data Science Provider-Partner Relationships Greatly More Productive than Adversarial9.6 A Data Day in the Life of a Software Development Manager9.7 A Digital Marketing “Grinder” Knows There is Value in Analytics9.8 Taming Unstructured and Semi-Structured Information9.9 Data Sharing Drives Citizen Engagement9.10 The Onion Peel, Everyone Uses Data9.11 Constraints of Federal Regulations Tie States Ability to Provide Important Services9.12 Oncology Decisions Based on More than Clinical Factors—Quality of Life Matters9.13 The Greatest Successes in Analytics Are Often the Simplest9.14 Three Simple Truths with a Seasoned Actuary and Data Scientist9.14.1 As Posted by Scott (Author) on Linkedln, November 21, 20229.15 Once Again, the Most Sophisticated or Complex Models Do Not Always Win9.16 One Success a Pattern Does Not Make; AI and Analytics Are Not Plug and Play!9.16.1 One Success Does Not Ensure Future Success9.17 Does the Data Support the Allegations?9.18 Precision Analytics and the Internet of Things (IoT) Bolster Life Science and Lifesaving Products9.19 Using Data and Evidence to Improve Federal Programs9.20 Healthcare Leaders Save Face at the Expense of Data Accuracy9.21 Healthcare Data Requires Subject Matter Expertise, Not Just Technical Skills9.22 Work Satisfaction, Improving Lives9.23 National Restaurant Change Uses Data for Planning Initiatives9.24 Global Chip Shortage May Encourage Cloud Migration, but the Cloud Is Not Impervious to Interruption9.25 Do Not Trust Data Just Because It Comes from a Web App or Browser9.26 The Value of Domain Knowledge Is Critical to AI Success!9.27 We Want to Minimize the Amount of Data Collected9.27.1 Interesting Government Websites Related to Data and Analytics9.28 AI Demand Must Scale to Costs, Entrepreneurial Lessons9.29 Human Out of the Loop Analytics!—A Major, Uncomfortable Step9.30 The Last Mile of AI and Analytics9.31 Public Data Enables Anyone to Be a Real Estate Expert9.32 AI and Analytics Should Not Be Done in Isolation—Sepsis Failure9.33 Today's MLOps Platforms Are Much More Powerful9.34 Executive Has an Epiphany in 2011 on Compute, the Cloud, and Open SourceReferences