The future of data in a world of AI

EPISODE 12: Is data science still a "Hot Job"?

Remember that article from 2012? That one that talked about the "hottest" job of the century. If you can't remember, allegedly it was data science! But how much has changed since then? Is data science still a career worth pursuing? How does it compare to data engineering or ML engineering, or the many other data roles that have sprouted in it's place? Join me with Timothy Chan, head of data at StatSig, for the first ever... LIVE DATA PARTY!

The future of data in a world of AI

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!

Why don’t startups hire data teams?

I recently read an article that talked about the first ⁠10 hires⁠ [https://www.lennysnewsletter.com/p/hiring-your-early-team-b2b] 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 [https://pixabay.com/users/hitslab-47305729/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=324902] from ⁠Pixabay [https://pixabay.com/music//?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=324902]

Wait!? I can’t do that analysis because I’m a manager? Exploring what it means to be a manager

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 [https://www.linkedin.com/in/mengyingli/], 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 [(https://mengying.substack.com/)] Music by Christoph Scholl [https://pixabay.com/users/tuesdaynight-24999875/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=12949] from Pixabay [https://pixabay.com//?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=12949]

A stacked bar chart please! Or how to actually use data to tell a story

“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 [Music by ]