(Ebook PDF) Decision Intelligence For Dummies 1st Edition by Pam Baker 1119824869 9781119824862 full chapters

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Product details:

ISBN-10 :  1119824869 

ISBN-13 :  9781119824862

Author:   Pam Baker 

The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether? 

Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible. 

 

Decision Intelligence For Dummies 1st Table of contents:

Part 1: Getting Started with Decision Intelligence
Chapter 1: Short Takes on Decision Intelligence
The Tale of Two Decision Trails
Deputizing AI as Your Faithful Sidekick
Seeing How Decision Intelligence Looks on Paper
Tracking the Inverted V
Estimating How Much Decision Intelligence Will Cost You
Chapter 2: Mining Data versus Minding the Answer
Knowledge Is Power — Data Is Just Information
Reinventing Actionable Outcomes
Chapter 3: Cryptic Patterns and Wild Guesses
Machines Make Human Mistakes, Too
Seeing the Trouble Math Makes
Identifying Patterns and Missing the Big Picture
Chapter 4: The Inverted V Approach
Putting Data First Is the Wrong Move
Applying the Upside-Down V: The Path to the Output and Back Again
Evaluating Your Inverted V Revelations
Having Your Inverted V Lightbulb Moment
Recognizing Why Things Go Wrong
Part 2: Reaching the Best Possible Decision
Chapter 5: Shaping a Decision into a Query
Defining Smart versus Intelligent
Discovering That Business Intelligence Is Not Decision Intelligence
Discovering the Value of Context and Nuance
Defining the Action You Seek
Setting Up the Decision
Chapter 6: Mapping a Path Forward
Putting Data Last
Adding More Humans to the Equation
Limiting Actions to What Your Company Will Actually Do
Chapter 7: Your DI Toolbox
Decision Intelligence Is a Rethink, Not a Data Science Redo
Taking Stock of What You Already Have
Adding Other Tools to the Mix
Taking a Look at What Your Computing Stack Should Look Like Now
Part 3: Establishing Reality Checks
Chapter 8: Taking a Bow: Goodbye, Data Scientists — Hello, Data Strategists
Making Changes in Organizational Roles
Looking at Emerging DI Jobs
The Chief Data Officer’s Fate
Freeing Executives to Lead Again
Chapter 9: Trusting AI and Tackling Scary Things
Discovering the Truth about AI
Seeing Whether You Can Trust AI
Two AIs Walk into a Bar …
Chapter 10: Meddling Data and Mindful Humans
Engaging with Decision Theory
The Role of Data Science in Decision Intelligence
Where There’s a Will, There’s a Way
Chapter 11: Decisions at Scale
Plugging and Unplugging AI into Automation
Dealing with Model Drifts and Bad Calls
Reining in AutoML
Seeing the Value of ModelOps
Bracing for Impact
Chapter 12: Metrics and Measures
Living with Uncertainty
Making the Decision
Seeing How Much a Decision Is Worth
Matching the Metrics to the Measure
Deciding When to Weigh the Decision and When to Weigh the Impact
Part 4: Proposing a New Directive
Chapter 13: The Role of DI in the Idea Economy
Turning Decisions into Ideas
Disruption Is the Point
Competing in the Moment
Changing Winds and Changing Business Models
Counting Wins in Terms of Impacts
Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets
Facing the What-If Challenge
Learning Lessons from the Pandemic
Rebuilding at the Speed of Disruption
Redefining Industries
Chapter 15: Trickle-Down and Streaming-Up Decisioning
Understanding the Who, What, Where, and Why of Decision-Making
Trickling Down Your Upstream Decisions
Looking at Streaming Decision-Making Models
Making Downstream Decisions
Thinking in Systems
Taking Advantage of Systems Tools
Conforming and Creating at the Same Time
Directing Your Business Impacts to a Common Goal
Dealing with Decision Singularities
Revisiting the Inverted V
Chapter 16: Career Makers and Deal-Breakers
Taking the Machine’s Advice
Adding Your Own Take
The New Influencers: Decision Masters
Preventing Wrong Influences from Affecting Decisions
Risk Factors in Decision Intelligence
DI and Hyperautomation
Part 5: The Part of Tens
Chapter 17: Ten Steps to Setting Up a Smart Decision
Check Your Data Source
Track Your Data Lineage
Know Your Tools
Use Automated Visualizations
Impact = Decision
Do Reality Checks
Limit Your Assumptions
Think Like a Science Teacher
Solve for Missing Data
Take Two Perspectives and Call Me in the Morning
Chapter 18: Bias In, Bias Out (and Other Pitfalls)
A Pitfalls Overview
Relying on Racist Algorithms
Following a Flawed Model for Repeat Offenders
Using A Sexist Hiring Algorithm
Redlining Loans
Leaning on Irrelevant Information
Falling Victim to Framing Foibles
Being Overconfident
Lulled by Percentages
Dismissing with Prejudice

 

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