Do you need data engineering before data science?
Last week, I shared some lessons learned from a Domino Data Science Pop-up that I attended a month ago. There were some very important discussions surrounding the world of data science today. One thread explored the differences between data science and data engineering. I’ll admit that I was completely unaware of the engineering behind data science when we […]
Takeaways from the Domino Data Science Pop-up: Defining a data scientist
Three weeks ago, I had the pleasure of attending the Domino Data Science Pop-up, which was one of the best days of talks on data science that I have attended. You can check out recordings of the talks as well as copies of the presentations on SlideShare. I won’t dive into all the nitty-gritty discussions on math and […]
“Understanding Social Platforms,” now summarized in a presentation deck
Two months ago, we published our second eBook, Understanding Social Platforms. In it, we discuss the dynamics of each social platform type: messaging, private networks, public networks, enterprise networks, and communities. We also cover important topics for social platform businesses like metrics, exits, valuations, and our outlook for future opportunities in social. Today, we are […]
My next chapter of VC: More data!
On the heels of being named principal last week, I am humbled by Boris’s announcement and thrilled to begin leading deals for Version One. While many of you have already worked with me directly or read my thoughts on this blog over the years, I want to take the opportunity to share my goals: what I’m […]
Revisiting the Engagement Pyramid
Back in 2014, I blogged about building a user engagement pyramid for social platforms, inspired by Fred Wilson’s 100/10/1 rule. The premise of that post was simple: since user-generated content is king, the top of the pyramid (aka the most engaged users) are those who post status updates, photos and links. And, these creators are inspired when […]