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Data & AI Technical Strategist Certification
Introduction
Course Benefits & Outcomes (5:04)
Course Outline & Overview (14:53)
What Is Strategy? (12:10)
Business Fundamentals In The Data Age
The Business Model (10:47)
Examples Of Real World Business Models (4:53)
The Operating Model (7:25)
The Technology Model (8:07)
The Value Stream (11:40)
Competitive Analysis (10:21)
Introduction to KPIs (11:49)
KPI Maturity (13:15)
Key Definitions And Terms
Integrating Data And AI Strategy Into The Larger Business Strategy
The Technology Model: Where To Begin? (4:34)
Why Does The Business Need Data Analytics & AI Strategies (11:21)
Data Strategy: Definition & Objectives (5:11)
AI Strategy: Definition & Objectives (7:38)
The Data Monetization Catalog (11:04)
Case Study: What Happens When Technical Strategy Doesn’t Align With Business Strategy? (9:14)
Case Study: Apple Using Data As A Competitive Advantage (5:22)
Strategy Planning
The Story of Retail Pt. 1 (8:18)
The Story Of Retail Pt. 2 (10:34)
Optimizing Strategy Planning (17:32)
Strategy Implementation
Case Study: The Cautionary Tale Of Zillow (23:44)
Why Is Transformation So Hard? (6:08)
Case Study: Data And AI Maturity Drivers (10:38)
Getting Buy In From Senior Leadership (4:51)
Collaborating With External Teams (17:32)
Case Study: What Happens When Data Science Initiatives Fail? (25:28)
Using AI For Operating Model Optimization
The Core Rim Model (25:05)
Where Do People Fit? (7:32)
The 3 Main People Groups (13:26)
The Implications Of Reducing Operating Complexity (11:44)
Data Science And Strategy
Becoming A Strategic Partner (8:49)
Decision Support Systems & KPIs (30:02)
The Data Science Value Stream (15:20)
Case Study: Microsoft’s Initial AI Product Strategy (19:21)
Capabilities Based Competition (29:57)
Case Study: Tik Tok VS Google. Competing On Best In Class Capabilities (8:02)
Case Study: Exploring Partnerships For Capabilities Acquisition (23:12)
A Unified View Of Enterprise Transformation For Alignment
AI Transformation Roadmap: Capabilities (12:08)
AI Transformation Roadmap: Strategy Planning & Implementation (11:17)
AI Transformation Roadmap: Talent & Infrastructure (12:45)
Assessing The Business
Introduction To The Assessment Framework (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)
Opaque VS Transparent & Justifying Early Initiatives (11:37)
AI Strategy KPIs (42:39)
Solving The Business’s AI Last Mile Problem
The AI Last Mile Problem (6:54)
Introduction To The AI Governance Framework (11:48)
Commercialization & Monetization Phases (8:11)
Productization Phase (8:37)
Data Product Strategy
Introduction To Data Product Strategy (12:31)
Monetization Phase (14:05)
Productization Phase (14:21)
Commercialization Phase (15:22)
Continuous Growth Phase (4:10)
Key Implementation Points (9:32)
Messaging and Executive Communications Framework (9:01)
Implementation Cases and Examples (27:52)
Implementation Cases
Implementation Cases Introduction (5:12)
Implementation Case: Data Strategy (7:21)
Implementation Case: Data Monetization Catalog (16:35)
Implementation Case: Analytics Strategy (16:47)
Implementation Case: AI Strategy (18:46)
Implementation Case: Transformation Strategy (10:02)
Implementation Case: AI Governance (6:51)
Implementation Case: Pulling 3 Concepts Together (14:06)
Causal KPIs And Communications Frameworks
Introduction To Causal KPIs (7:26)
The Implications Of Causal KPIs (8:22)
The Microsoft Causal Communications Framework (4:41)
The Amazon Causal Communications Framework (5:48)
Core Rim And Path To Causal Methods (12:09)
Why Does The Business Need Data Analytics & AI Strategies
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