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Strategy For Executive Data Leaders: From Legacy To Data & AI
Introduction
Why Take This Class And Who Is It For? (6:25)
Course Outline And Content Overview (23:02)
Supporting Materials
Course Updates And New Content Explained (4:22)
Business Fundamentals
The Business Model (10:47)
Examples Of Different Business Models (4:52)
The Operating Model (7:25)
The Technology Model (8:07)
Defining Strategy (12:40)
Competitive Analysis (10:21)
How Apple Uses Data As A Competitive Advantage Over Facebook and Snapchat (5:22)
The Value Stream (11:40)
Introduction To KPIs (11:49)
Connecting KPIs To Initiatives To Get Buy In (8:22)
KPI Maturity Phases (13:15)
What Is Growth And Where Does It Come From? (5:10)
Strategy Planning
The Story of Retail Pt 1 (8:18)
The Story Of Retail Part 2 (10:34)
Optimizing Strategy Planning (17:32)
Strategy Implementation
The Cautionary Tale Of Zillow (23:44)
Why Is Transformation So Hard? (6:07)
Getting Buy In From Senior Leadership (4:51)
AI Capabilities Maturity Drivers: Roku and CNN+ (10:38)
Collaborating With External Teams (17:32)
Strategy Implementation Framework: The Core-Rim Model (25:05)
Where Do People Fit In The Intelligent Business? (7:32)
The 3 Main People Groups (13:26)
The Implications Of Reducing Complexity With Machine Learning (11:44)
The Big Picture Of Transformation
The Big Picture: Capabilities Transformation (12:08)
The Big Picture: Strategy Planning and Implementation (11:17)
The Big Picture: Talent and Infrastructure (12:45)
Data Science And Strategy
Where Do You Fit? The Role Of Data Scientist Strategists (7:40)
Becoming A Strategic Partner (8:49)
Decision Support Systems And Improving KPIs (30:02)
The Data Science Value Stream (15:19)
Machine Learning Product Strategy (19:21)
Capabilities Based Competition (29:57)
Tik Tok VS Google Use Case (8:02)
Exploring Partnerships (23:12)
Assessing The Business
Introduction (4:31)
Culture (5:51)
Leadership Commitment (5:38)
Operations And Structure (7:37)
Skills And Competencies (8:30)
Analytics Strategy Alignment (5:50)
Proactive Market Orientation (8:27)
Employee Empowerment (13:06)
Transparency VS Opacity (11:37)
Building The Business Case For Machine Learning
Building A Track Record For Success (7:12)
Budget And Allocation Advice (13:54)
Calculating Returns And Connecting Business Metrics To Model Metrics (11:18)
The AI Strategy Document And Organizational Build Out Plan (28:33)
AI Strategy KPI Library: Justifying Machine Learning Initiatives With KPIs (42:39)
Data And Analytics Organizational Build Out
Creating Alignment Between The Business And Build Out (9:46)
3 Stage Maturity Arc (8:36)
Defining Roles (8:58)
Goals Alignment (5:01)
Leadership Layers (8:23)
Developing An External Talent Pipeline (7:18)
Building An Internal Training Program (8:31)
AI Governance: A Framework For Senior Leadership To Manage Value Creation
The Need For AI Governance: AI's Last Mile Problem (6:54)
Introduction To AI Governance And Why Data Scientists Must Be Involved (11:48)
Productization Phase (8:37)
Commercialization and Monetization Phases (8:11)
Modern Strategy Concepts
Super Platforms and Content Fortresses (15:59)
The End Of Easy Growth: Understanding Growth Efficiency (13:33)
What Happens When Data Science Initiatives Fail? (25:28)
Impacts Of Geopolitical Instability On Data Science Teams (14:58)
Macro Factors: Inflation's Impact On Data Science (12:48)
Causal KPIs and Communications Framework
Introduction To Causal KPIs (7:26)
The Implications Of Causal KPIs (8:22)
Microsoft Causal Communications Framework (4:41)
Amazon Causal Communications Framework (5:48)
Core Rim Model And The Path To Causal (12:09)
The Implications Of Reducing Complexity With Machine Learning
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