I don’t know if you’ve heard, but there is this cool, new thing out there called…AI, and, it’s changing everything! But one big, extremely important, question remains unanswered: how will it transform data work? (of course because this is a data podcast, data is ALL that matters!)
Many data startups have keyed in on using AI to generating insights. There is only one problem, insights based on bad data are just… bad insights.
What if AI could revolutionize not just analytics, but the way we get clean, reliable data in the first place? Today, I’m talking with Shinji Kim, founder of Select Star, about her bold bet on AI and the future of data quality.
Credit to @freesound_community for the sound effects!
I recently read an article that talked about the first 10 hires in various startups. None were data people. More interestingly, of the 19 companies interviewed, more than 30% were data companies, yet even among these, only 50% of those companies recruited a data person. In today's podcast, I'm incredibly excited to be speaking with Kevin Hu, CEO of Metaplane, a data startup that (I believe) has data people on the team, to understand why exactly don't startups hire data teams?
Music by Ievgen Poltavskyi from Pixabay
Considering a move into data management?
Transitioning to management can be annoying. You are the best IC in town, and now, suddenly, you have to replicate yourself in your team without doing the work yourself. Or is that even true? Join me and Mengying Li, an impressive data leader that has made the switch 2x, offering the highlights of her experience in data management at Meta and Notion.
Curious to hear more of Mengying's thoughts? Subscribe to her substack here
Music by Christoph Scholl from Pixabay
“Can you just put this into a stacked bar chart?” A question data analysts hear millions of times. Low and behold, once our 5 category chart is built, everyone marvels at it beauty but wait, there is 1 problem, what on earth is it telling us?
Join us as Weronika Gawarska, a known voice in the Tableau community shares her views on some of the best and worst data visualizations she has encountered and gives invaluable insights on creating impactful data visualizations that truly tell a story.
Music by Vincent from Pixabay" target="_blank" rel="noopener noreferer">Vincent from pixabay
Napoleon's Invasion of Russia, for those that want to see the disaster in action
1 morning catchy email. This email came from a company called Offerfit. I was so intrigued by this message it dragged me out to a fancy dinner (no complaints there) and i had the added pleasure of meeting Nathaniel.
In today’s episode we are going to talk with Nathaniel, who leads product marketing at Offerfit and understand, is A/B testing really dead?
White paper in Community Bandits here
Outro music by LoFi Rhodes for Intro/Outro 0132
You've read it in every product manager job description: Data driven decision-making is a must. You have read it in every product book, “Talk to your customers” and use that data to find what they really want. So, you would think that a background in data would be an advantage to becoming a product manager. Think again, fewer than 17% of product managers have a data background! Why I hear you scream? Kelly Chou, seasoned PM and a member of the exclusive Data PM club comes to share her views on why.
