Question 1

How do you measure quality in healthcare data?

Accepted Answer

_Quality metrics for healthcare ML._

> Knowing quality is therefore of utmost importance. Three broad measurement areas in today's healthcare: (1) Metrics about quality of care — related to treatment effectiveness and patient satisfaction. (2) Metrics about need and utilization of care — gauging health requirements of a population and how often one uses what type of service. (3) Metrics about value-based healthcare — they measure disease prevention rather than disease…

— [Healthcare And Data - How To Measure Quality](https://www.forbes.com/sites/lutzfinger/2023/06/27/healthcare-and-datahow-to-measure-quality/) · _Forbes_

> But then there's the practical question of how you make things high quality. And so the first thing you need to start with is you can't improve something or even know it's quality unless you can measure it. And it's really hard to measure quality oftentimes. Oftentimes quality is subjective.

— [Unit 3 Full Transcript](https://www.lutzfinger.com/ecornell/) · _eCornell course_

Question 2

What is the 'Ask, Measure, Learn' framework?

Accepted Answer

_The framework from Lutz's book._

> "Ask Measure Learn" is a non-technical guide shows you how to extract significant business value from big data. It is a system that helps you ask the right questions, measure the right data, and then learn from the results. The framework was originally devised to help governments and NGOs sift through volumes of data.

— [Ask Measure Learn](https://www.lutzfinger.com/book/) · _Book — Ask, Measure, Learn_

Question 3

What is the book Ask, Measure, Learn about?

Accepted Answer

_Topics covered in the O'Reilly book._

> **Publisher:** O'Reilly Media **Published:** Feb 1, 2014

— [Ask Measure Learn](https://www.lutzfinger.com/book/) · _Book — Ask, Measure, Learn_

Question 4

What is value-based care and how does AI enable it?

Accepted Answer

_VBC framing and AI's role._

> Healthcare is on the brink of a seismic shift, and AI is its catalyst. Three converging trends are creating a perfect opportunity for change: (1) Foundational Models' growing ability to predict risks further into the future compared to traditional machine learning, (2) the rise of the self-insured healthcare industry motivated to address these risks, and (3) a surge in Value-Based Care (VBC) providers focused on risk reduction. These…

— [Three Trends Of Transformation: How AI & Value-Based Care (VBC) Will Drive Transformation Of Self-Insured Healthcare](https://www.forbes.com/sites/lutzfinger/2023/05/01/three-trends-of-transformation-how-ai--value-based-care-vbc-will-drive-transformation-of-self-insured-healthcare/) · _Forbes_

> (4) AI Matchmaking — our goal is to pair each user with the most suitable VBC partner for their unique needs. If you're interested in joining this transformative journey as a Third-Party Administrator or value-based care partner, we are here to work with you.

— [Changing Healthcare - A Platform Approach Using Data & AI](https://www.forbes.com/sites/lutzfinger/2023/07/05/changing-healthcarea-platform-approach-using-data--ai/) · _Forbes_

Question 5

Why do LLMs convert better than search?

Accepted Answer

_Trust, personalization, and conversion lift from AI traffic._

> Some predict that by 2028, more people will discover products and information through large language models (LLMs) like ChatGPT and Gemini than through traditional search engines. But based on research I conducted with Cornell Master's students, that shift is happening much faster. LLM-driven traffic is already starting to outperform traditional search — not in volume, but in value.

— [Study Shows LLM Conversion Rate Is 9x Better — AEO Is Coming](https://www.forbes.com/sites/lutzfinger/2025/06/19/study-shows-llm-conversion-rate-is-9x-better---aeo-is-coming/) · _Forbes_

> The latest wave includes dashboards designed to track your brand's presence across ChatGPT, Perplexity and other platforms. But here's the problem: LLMs don't behave like search engines. They remember. Google would always return the same results, even if you had already clicked those links before.

— [Answer Engine Optimization — What Brands Need To Know](https://www.forbes.com/sites/lutzfinger/2025/06/19/answer-engine-optimization-aeo--what-brands-need-to-know/) · _Forbes_

Question 6

Why is eval data a moat?

Accepted Answer

_Evaluation data as the strategic differentiator._

> All of them matter, and all of them are being fought over. But the real value may sit in the one thing OpenAI, Anthropic, and Gemini have not yet made central: your own eval data. Sure, there is the occasional thumbs-up button. But who is really using that signal?

— [The Missing Moat In AI: Your Eval Data](https://www.forbes.com/sites/lutzfinger/2026/05/26/the-missing-moat-in-ai-your-eval-data/) · _Forbes_

> One cannot protect them easily. No Data Moat: general knowledge is widely available. My first startup faced this reality — services that commanded six-figure fees became available for $100 (a 1,000x price drop) once competitors caught up using the same machine learning algorithms. A Real Moat: Engineering Excellence — smart engineering work pushing the frontier of what is possible is a moat.

— [DeepSeek - New Economic Rules And Regulatory Challenge](https://www.forbes.com/sites/lutzfinger/2025/01/29/deepseeknew-economic-rules-and-regulatory-challenge/) · _Forbes_