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BMA: Project, Product & Operations
Operationalizing Trustworthy Decision Intelligence
Curriculum
1 Section
23 Lessons
30 hours
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Unit 2 — Operationalizing Trustworthy Decision Intelligence
23
1.1
Adding More Humans to the Equation
20 mins
1.2
Taking Stock of What You Already Have
20 mins
1.3
Looking at Emerging DI Jobs
20 mins
1.4
Seeing Whether You Can Trust AI
20 mins
1.5
The Role of Data Science in Decision Intelligence
20 mins
1.6
Dealing with Model Drifts and Bad Calls
20 mins
1.7
Making the Decision
20 mins
1.8
Disruption Is the Point
20 mins
1.9
Learning Lessons from the Pandemic
20 mins
1.10
Trickling Down Your Upstream Decisions
20 mins
1.11
Adding Your Own Take
20 mins
1.12
Track Your Data Lineage
20 mins
1.13
Relying on Racist Algorithms
20 mins
1.14
Seeing How Decision Intelligence Looks on Paper
20 mins
1.15
Identifying Patterns and Missing the Big Picture
20 mins
1.16
Evaluating Your Inverted V Revelations
20 mins
1.17
Discovering the Value of Context and Nuance
20 mins
1.18
Limiting Actions to What Your Company Will Actually Do
20 mins
1.19
Adding Other Tools to the Mix
20 mins
1.20
The Chief Data Officer’s Fate
20 mins
1.21
Two AIs Walk into a Bar …
20 mins
1.22
Where There’s a Will, There’s a Way
20 mins
1.23
Reining in AutoML
20 mins
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