Training Session2026-02-13

AI Value Creation with Greg Shove and Edmundo Ortega - LinkedIn

This episode features a discussion on AI value creation with Greg Shove and Edmundo Ortega, exploring how leaders can turn AI inference into tangible business value. The conversation emphasizes that AI represents an experience revolution rather than just a technology revolution, focusing on practical frameworks for evaluating and implementing AI projects.

The Core Framework for AI Business Value

Edmundo Ortega presents his killer framework that great leaders turn inference into business value, establishing the fundamental principle for successful AI implementation. This approach focuses on leadership capability rather than technological complexity.

The 3V Evaluation System

Greg Shove introduces the practical 3V framework for assessing AI projects: Viability, Velocity, and Value. This systematic approach ensures AI initiatives create measurable business impact rather than just technological innovation.

Experience Revolution Versus Technology Revolution

The discussion reframes AI adoption as an experience revolution, shifting focus from 'can we use AI?' to 'what does the world look like when we solve this problem properly?' This perspective change drives meaningful business transformation.

3V AI evaluation frameworkinference to business valuefocusing on technology instead of experience

Teachings 2

Great leaders turn inference into business value through a focused approach that prioritizes problem-solving over technology adoption
Edmundo Ortega's killer framework specifically states 'Great leaders turn inference into business value' as the core principle for AI success
inference to business value
Use the 3V framework to evaluate AI projects: Viability (will this actually work), Velocity (can we ship it before the organization loses interest), and Value (does it move the P&L)
Greg Shove's specific 3V evaluation criteria provides measurable benchmarks for AI project success, focusing on practical implementation and financial impact
3V AI evaluation framework

Perspectives 1

AI implementation represents an experience revolution, not a technology revolution, requiring leaders to ask 'what does the world look like when we solve this problem properly' instead of 'can we use AI'
The discussion explicitly states 'This isn't a technology revolution. It's an experience revolution' and provides the contrasting questions that separate successful from unsuccessful AI adoption

Quotable Moments 3

“Great leaders turn inference into business value”
— Edmundo Ortega
“This isn't a technology revolution. It's an experience revolution.”
— Greg Shove
“The question isn't 'can we use AI?' It's 'what does the world look like when we solve this problem properly?'”
— Greg Shove

How to Evaluate AI Projects for Business Value

A systematic approach to assess AI initiatives using the 3V framework

1
Assess Viability
Determine if the AI solution will actually work in your specific business context and with your available resources
2
Evaluate Velocity
Assess whether you can implement and ship the solution before your organization loses interest or priorities shift
3
Measure Value
Confirm that the AI project will directly impact your profit and loss statement with measurable business results

Questions Answered

How do you turn AI into actual business value

“Great leaders turn inference into business value”
— Edmundo Ortega

Great leaders turn inference into business value by focusing on solving problems properly rather than just implementing technology. Use the 3V framework: ensure Viability (will this work), Velocity (can you ship before losing organizational interest), and Value (does it impact the P&L).

What is the 3V framework for AI projects

“Viability: Will this actually work? Velocity: Can we ship it before the org loses interest? Value: Does it move the P&L?”
— Greg Shove

The 3V framework evaluates AI projects on three criteria: Viability (Will this actually work?), Velocity (Can we ship it before the organization loses interest?), and Value (Does it move the P&L?). This framework ensures AI projects create measurable business impact.

Why is AI an experience revolution not a technology revolution

“This isn't a technology revolution. It's an experience revolution.”
— Greg Shove

AI represents an experience revolution because success depends on solving problems properly, not just implementing new technology. The key question shifts from 'can we use AI?' to 'what does the world look like when we solve this problem properly?'

Expert: Greg Shove and Edmundo Ortega

AI implementation experts featured on Richard Anderson's Neural Lab discussion

View Original

Counterpoint

Claim: “AI adoption should focus on whether we can use the technology”

Reframe: Successful AI implementation asks what the world looks like when we solve the problem properly

Greg Shove and Edmundo Ortega demonstrate that this shift from technology-focused to solution-focused thinking represents the core difference between AI projects that create value and those that fail

Key Points 3

Great leaders turn inference into business value through a focused approach that prioritizes problem-solving over technology adoption

Use the 3V framework to evaluate AI projects: Viability (will this actually work), Velocity (can we ship it before the organization loses interest), and Value (does it move the P&L)

AI implementation represents an experience revolution, not a technology revolution, requiring leaders to ask 'what does the world look like when we solve this problem properly' instead of 'can we use AI'

Topics

Business Frameworks

3V AI evaluation frameworkinference to business value

Common Mistakes

focusing on technology instead of experience