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AI Value Creation with Greg Shove and Edmundo Ortega - LinkedInRead on linkedin.com
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.

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

Key Moments

How to Evaluate AI Projects for Business Value -- A systematic approach to assess AI initiatives using the 3V framework

Start With What the World Looks Like When the Problem Is Solved

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'

3V Framework — Viability Velocity Value for AI Projects

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)

Great Leaders Turn Inference Into Business Value

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

Viability Velocity Value — 3V Framework for AI Projects

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.

Turning AI Inference Into Business Value With the 3V Framework

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).

Relevant Clips10

  • How-To

    How to Evaluate AI Projects for Business Value -- A systematic approach to assess AI initiatives using the 3V framework

  • Teaching

    Turning AI Inference Into Business Value With the 3V Framework

    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).

    → Canonical teaching
  • Teaching

    Viability Velocity Value — 3V Framework for AI Projects

    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.

    → Canonical teaching
  • Teaching

    AI Shifts the Leader's Question From Tech to Problem-Solving

    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?'

    → Canonical teaching
  • Teaching

    Start With What the World Looks Like When the Problem Is Solved

    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'

    → Canonical teaching
  • Teaching

    3V Framework — Viability Velocity Value for AI Projects

    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)

    → Canonical teaching
  • Teaching

    Great Leaders Turn Inference Into Business Value

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

    → Canonical teaching
  • Quotable

    The Question Is Not Can We Use AI

    The question isn't 'can we use AI?' It's 'what does the world look like when we solve this problem properly?'

  • Quotable

    This Is an Experience Revolution Not a Technology Revolution

    This isn't a technology revolution. It's an experience revolution.

  • Quotable

    Great Leaders Turn AI Inference Into Business Value

    Great leaders turn inference into business value

Entities Touched

Expert: Greg Shove and Edmundo Ortega

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

Summary

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.

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

Topics

Business Frameworks

3V AI evaluation frameworkinference to business value

Common Mistakes

focusing on technology instead of experience