Zachary Jarvinen - Enterprise AI For Dummies

2 Chapter 3 TABLE 3-1 Types of Visualizations and Uses TABLE 3-1 Types of Visualizations and Uses Type Use Comparison Compare two or more values on an XY axis. Examples: timeline, trend, ranking Types: line, column, bar, timeline Composition Show how the parts relate to the whole. Examples: revenue of product mix over time, breakdown of demographic data across the range of a variable Types: stacked bars/columns, pie/donut, stacked area, waterfall, polar Distribution Show the value of one variable tracked across a set of categories. Examples: sales across regions or stores, age ranges in demographic Types: histogram, line, area, scatter plot, map Relationship Show the connection between two or more variables. Examples: track revenue versus cost across regions or stores, show traffic or accident incidents by weather or time of day Types: scatter, bubble, line One way to do that is a bar chart, either vertical or horizontal. One axis displays the collection of categories or ranges and the other the quantity, rank, or another metric. Another way is to have the X axis represent one variable and the Y axis represent a different variable, and then plot the data points. The data points can even use bubble size to represent a third variable, packing information into a simple visualization that conveys lots of information in a glance. Figure 3-1 shows the number of page visits on the X axis, the duration of the visit on the Y axis, and income band by the size of the bubble. TABLE 3-2 Pyramid of Critical Success Factors for AI and Analytics TABLE 3-2 Pyramid of Critical Success Factors for AI and Analytics Element Questions AI How will you address analytical deployment, governance, and operations? Experimentation ML Does machine learning add business value? How do you define success? BI / Analytics What is the story your data is telling? What conclusions can you make from this information? Explore and Enrich Can the data be used meaningfully? Are you missing any data or features? Data Access Is the data accessible and usable (analysis-ready)? Is the data flow reliable? Data Collection Do you have data relevant to your business goals? TABLE 3-3 Types of Dirty Data TABLE 3-4 Unsupervised Learning Algorithms TABLE 3-5 Supervised Learning Algorithms TABLE 3-6 Deep Learning Algorithms

3 Chapter 4 TABLE 4-1 The Machine Learning Development Life Cycle: Elements and QuestionsTABLE 4-2 Example of Binary Classifier ResultsTABLE 4-3 Example Results CategoriesTABLE 4-4 Build versus Buy Pros and Cons

4 Chapter 6TABLE 6-1 Marketing Content Management Workflow

5 Chapter 13TABLE 13-1 SAE J3016 Level of Driving Automation

1 Chapter 1FIGURE 1-1: Business value versus difficulty in analytics.

2 Chapter 3FIGURE 3-1: Comparison: Total page visits by mean duration of visit.FIGURE 3-2: Composition: Employee per industry (top), revenue per market segmen...FIGURE 3-3: Distribution: Startups per county.FIGURE 3-4: Relationship: Call center wait time versus satisfaction score.FIGURE 3-5: Pyramid of critical success factors for AI and analytics.FIGURE 3-6: Microsoft Excel supports 17 date formats.

3 Chapter 4FIGURE 4-1: Hierarchy of AI competencies.FIGURE 4-2: The Machine Learning Development life cycle.

4 Chapter 7FIGURE 7-1: Using AI for inventory, operations, and the supply chain.

5 Chapter 9FIGURE 9-1: Volume of data growth.

6 Chapter 13FIGURE 13-1: Evolution from reactive maintenance to asset performance optimizat...

7 Chapter 16FIGURE 16-1: The hierarchy of business complexity.

8 Chapter 18FIGURE 18-1: A sample voice of the customer dashboard.

9 Chapter 19FIGURE 19-1: The evolution from maintenance to asset performance optimization f...FIGURE 19-2: APO helps you decide how to avoid predicted failures.FIGURE 19-3: Cost levers driving optimum economic value in operations through p...FIGURE 19-4: Conducting maintenance with AI and IoT sensors reduces the number ...

10 Chapter 20FIGURE 20-1: Differences between popular recommendation methodologies.FIGURE 20-2: The flow of data inputs, outputs, and activities in a recommendati...

11 Chapter 22FIGURE 22-1: The process flow from capture through the application of AI, manag...

12 Chapter 24FIGURE 24-1: A customer support issue handled by a chatbot/virtual assistant.

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