AI Product Development Framework
Data Leaders
Ivy Nguyen shares insights on:
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Early Stage AI Startups and Product Market Fit
Data Leaders
In this episode, I invite Swaroop "Kittu" Kolluri to share his thoughts on:
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Building a Data Startup
Data Leaders
In this episode, Tom shares his advice on:
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Grow Like Dropbox: Data Inspired Viral Marketing
Data Leaders
In this episode, I chat with Savvas Zortikis about an Analytical approach to Viral Marketing.
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Crafting Engaging Content: A Data-Inspired Approach
Data Leaders
In this episode, I sit down with Aaron to learn about how he and his agency creates engaging content. Takeaways: Focus on copywriting basics. Make every word valuable. This means not using words like “just” or “really.” People love a good narrative. Give them a gift of emotional engagement. Pull the strings of your heart without holding back. Find personal stories from your daily work and translate that to something of value to people. This means approaching your day like a book, with each meeting as a chapter of a story.
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Content Creation & Analytics: Writing Process for Top Writers
Data Leaders
I've always wondered if there were any patterns among the top writers when it comes to their writing process.
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Data, Intuition, and Product Development
Data Leaders
Olof Mathe, the founder of Mixmax, one of the most well-renowned email communication products, shares his thoughts on:
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Attributes of High-Quality Content
Data Leaders
In this podcast series, I sat down with the top writers from SF, LA, and NY to learn how they create great content.
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Data Inspired Product/Market Fit
Data Leaders
I met up with Sean Sheppard to learn about his growth based product/market fit approach.
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Content Creation & Analytics - Part I
Data Leaders
In this podcast series, I sat down with the top writers from SF, LA, and NY to learn how they create great content.
info_outlineRichard Demsyn-Jones has an extensive experience building predictive models. Currently, Richard is at Google Trust and Safety Analytics, Prior to that Richard helped Capital One with their data science opportunities as a principal data scientist. Richard has an academic background in economics.
I bumped into Richard when he was presenting on sports analytics, and despite zero interest or prior experience in watching in Hockey, I found myself deeply immersed in Richard’s presentation where he discussed data analytics around goalie quality...This goes to show Richard’s compelling storytelling abilities.
Couple of fun facts about Richard: He thinks cereal is good for any meal, also he’s from Canada, but doesn’t want you to hold that against other Canadians.
In this podcast, Richard shares his thoughts on:
- When it comes to betting, is natural talent more important than quantitative skills
- Nate Silvers story on why he left the poker world...
- A key area for a sports analyst to focus on (even if you are a hobbyist, you may want to follow the advice here)
- How can data be applied when selecting lineups
- Going beyond sports, how to apply data when building new teams and increase team performance…where you can play off the way different strengths interact with each other.
- Round of rapid fire questions on data…my favorite part.
Richard’s Blog:
Richard’s email:
fumble.to.victory [at] gmail.com
Disclaimer: Opinions expressed herein are in my own, and do not represent my employer’s viewpoints on sports analytics or other projects.