Ivy Nguyen shares insights on: 

1. Going beyond data - why data is NOT the new oil
2. Model-Market Fit vs. Product-Market Fit
3. Data Moat - a term she coined at Zetta Ventures - What does that mean and how can you build one.
4. AI product development strategy. A trifecta of:
   1. Performance Plateau
   2. Minimum Algorithm Performance
   3. Stability Threshold

About Ivy Nguyen:

• Investor @ Zetta Ventures Partners, VC firm that exclusively invests in startups leveraging Data and AI.
• Prior to Zetta, Ivy sourced and led investments in several companies including Constructor, NuCypher, Assembly, and Agridata.
• Ivy graduated with a chemical engineering degree from Stanford
• Fun fact about Ivy: Ivy loves to knit and is planning to make a hat from a neural net generated knitting pattern.

Follow Ivy on Twitter or LinkedIn to keep up with AI Product Development and her new AI Metrics Benchmark program. 

In this episode, I invite Swaroop "Kittu" Kolluri to share his thoughts on:

1. His decision making process around early stage VC Investments
2. AI Startups - How to develop an unfair advantage in your AI Startup
3. Two Phases of Product Market Fit

To learn more about Kittu, please visit NeoTribe Ventures. 

About Kittu:

• Founder and Managing Director of NeoTribe Ventures.
• Named as one of the Top 100 Venture Capitalists by New York Times/CBInsights
• Top 10 Indian VC’s in the world.