Being Model-Driven: Lessons from Rev Data Science Summit
A few weeks ago, I attended Rev, a summit for data science leaders and practitioners organized by Domino. I have previously shared blog posts on the key takeaways from last year’s event (which was one of the best data science conferences I’d been to), including how to define a data scientist and the differences between data science and data […]
V1 Data Hangout – Episode 2: How do you manage your data?
A month ago, we hosted the second virtual hangout with data teams across our portfolio. Our goal is to link up our data teams to build a peer network, share best practices, collaborate on solutions and push the bar on data science innovation. In case you missed the summary of our first session, here’s a recap. […]
Takeaways from our first V1 Data Team Hangout
George Psiharis (the awesome VP of Business Operations at Clio) reached out with a great suggestion: connect the data teams across our portfolio companies with the goal of building a peer network to share best practices, and together push the bar on data science innovation. A few weeks ago, we had our first virtual hangout with […]
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 […]