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GPT Monetization Strategy: How To Generate Returns By Building On Large AI Models Like ChatGPT
Introduction & Content Overview
Introduction (5:46)
Outline And Content Overview (7:53)
Focusing The Flood Of Ideas Towards Value (8:52)
Quick Wins & Revenue Opportunities
Evaluating Enterprise Use Cases Part 1 (5:11)
Evaluating Enterprise Use Cases Part 2 (9:20)
Integrating Models Into Apps (8:32)
Quick Win Themes And Idea Generation Process (10:30)
Understanding The Risks (9:00)
Revealing A New Mindset & Paradigm With Digital Metaphors
Large Models Are The New Operating System (8:48)
AI Platforms Are The New App Store (6:37)
How The Models Work (8:40)
What Does It Cost (6:13)
Flaws Are Opportunities (9:57)
Capturing Domain Knowledge To Create Opportunities
What Are Ontologies? (8:00)
A Deeper Explanation Of Ontologies And Why Are They Important (5:49)
What Does An Ontology Help The Model Learn (6:30)
Using Ontologies To Curate Datasets (8:47)
Connecting Ontologies To Workflows For Curated Data Gathering (6:22)
Curating Data Sets To Retrain Generative Models From Workflows (6:52)
Ontologies and Generative AI (10:52)
Defining The Opportunities & Use Cases
How Large Models Disrupt: Education & Textbooks (9:30)
How Large Models Disrupt: Advanced Streaming Content Creation (8:23)
Redefining Technology and Business (7:39)
Microsoft Monetization Cases (10:54)
The Old Maturity Model (8:31)
Leapfrogging The Maturity Model (6:09)
Changing The Way The Business Monetizes Data
The 3 Stages Of Data Engineering (6:49)
The Data Generation Maturity Model (14:02)
Workflow Mapping For Data Generation (9:47)
Developing A Vision For What's Next
Near & Mid Term Opportunities (14:41)
Winners vs Losers (11:21)
Emerging Roles (4:23)
How This Course's Frameworks Are Playing Out Right Now (11:45)
Next Steps In The Journey & Slides (5:37)
Evaluating Enterprise Use Cases Part 1
Complete and Continue