Klaviyo Data Science Podcast EP 43 | 2023: A Data Science Year in Review
Listen now
Description
2023 Year in Review As the new year starts, we take a look back at 2023. We spoke to 11 data scientist and people who work closely with data scientists, and we asked them all the question we ask every year: what is the coolest data science thing you learned about in 2023? You’ll hear a wide range of answers, including: How data science moving to peripheral devices and becoming more accessible has huge implications for the future of the field Peculiarities of working with large language models, both in terms of the tasks they can carry out and how the process of working with them is more complicated than it seems at first How powerful simple techniques can be at even highly complex tasks “You don’t have to have a PhD any longer to do data science. And I think that’s amazing and powerful, and it’s going to mean that the future is… where everybody is allowed to do data science stuff without having lots and lots of education.”   — Wayne Coburn, Director, Product Management For the full show notes, including stories mentioned in the episode and who's who, see the ⁠⁠⁠Medium writeup⁠⁠⁠.
More Episodes
How real marketers use data science We spend a lot of time on this podcast talking about how to build data science solutions. Implicit in many of those conversations is perhaps the most fundamental truth of product design and development: we build data science solutions because people use them....
Published 05/08/24
An Introduction to ML Ops  Building data science products requires many things we’ve discussed on this podcast before: insight, customer empathy, strategic thinking, flexibility, and a whole lot of determination. But it requires one more thing we haven’t talked about nearly as much: a stable,...
Published 04/09/24
Published 04/09/24