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Plumbers of Data Science
Andreas Kretz
125 episodes
1 week ago
Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com
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Technology
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All content for Plumbers of Data Science is the property of Andreas Kretz and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com
Show more...
Technology
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#125 AI Hype vs. Reality – with Christina Stathopoulos
Plumbers of Data Science
49 minutes 52 seconds
3 months ago
#125 AI Hype vs. Reality – with Christina Stathopoulos

In this episode, I’m joined by Christina Stathopoulos, a former Googler who now works independently as a data & AI evangelist, trainer, and advisor.

Not only did we talk about her path from data engineering into data science, and eventually into teaching and strategic consulting. We also covered:

  • Why many companies still struggle with data & AI basics
  • The hype vs. reality of generative AI (and how to cut through the noise)
  • Why soft skills like communication, critical thinking, and storytelling are underrated in tech
  • How regulation in Europe might be slowing things down, and why AI won’t wait for borders
  • The difference between online and in-person learning (and why human connection still matters)

and much more!

All in all: A thoughtful, honest conversation full of insights on AI, data culture, and the human side of technology.


Get in touch with Christina via LinkedIn:

https://www.linkedin.com/in/christinastathopoulos/

Plumbers of Data Science
Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com