Vero AI: Bridge the gap between what was sold vs. what you bought. Is your tool set is generating value or risk?
The Use Case PodcastApril 25, 202400:50:19

Vero AI: Bridge the gap between what was sold vs. what you bought. Is your tool set is generating value or risk?

In this episode, we speak with Eric Sydell about the transformative potential of Vero AI in assessing tech investments. We look hard at the critical balance between value and risk, and explore how Vero AI helps you to determine if you bought what you were sold. Is your tech delivering on it's promises? We look at data efficacy in evaluating AI tools and the current state of AI as compared to the boom of the internet.


Key Points:

1. Verify marketing claims with evidence and data before investing in AI tools to bridge the gap between promises and reality.

2. Assessing effectiveness data is essential for understanding the impact of AI on job performance and company outcomes.

3. Vero AI integrates automation and human expertise to impartially evaluate and monitor AI tools' effectiveness.

4. Recognize the limitations and ethical considerations of large language models, emphasizing critical evaluation and bias awareness.

5. AI's current stage resembles the internet's early days, marked by experimentation and uncertainty.

6. Prioritize outcome evaluation over code adjustments for AI models to gauge practical effectiveness.

7. Vero AI offers actionable insights for informed decision-making across diverse sectors like HR tech and healthcare.


Chapters

00:00 Introduction to Vero AI

01:33 Background of Eric and Vero AI

08:13 The Disconnect Between Marketing and Reality

10:38 The Degree of Lies in AI

15:07 Vetting AI Tools and Monitoring Effectiveness

22:29 Evaluation of Large Language Models

23:17 Morality and Limitations of Large Language Models

24:05 The Challenge of Bias in AI

25:01 The Wild West of AI

26:30 Focusing on Outcomes

27:16 Recommendation Engine for Improving Output

28:23 Vero AI's Target Market

29:38 Automating Certification Routines

30:54 Potential Customers for Vero AI

33:14 Using Violet as a Metric for AI

34:54 Creating Awards Based on AI Outputs

36:33 The Perception of AI in Different Fields

38:07 Educating and Explaining Vero AI

39:26 Targeting HR Tech and Expanding to Other Industries

42:31 Differentiation and Messaging


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