Navigating Data and Management in AI

17min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

This chapter delves into the multifaceted challenges of transitioning from individual contributor roles to management in large organizations like Google, emphasizing the critical relationship between data quality and AI. It also discusses how generative AI and advanced technologies can enhance productivity and adapt data workflows, while addressing the role of programming languages in data analytics. Furthermore, it highlights the importance of combining quantitative and qualitative data for deeper insights, particularly in sectors like healthcare.

Google needs no introduction, and is renowned for its data and analytics capabilities.

Gerrit Kazmaier is the VP and GM for Database, Data Analytics and Looker at Google. He has a long history in the space, and in this episode he speaks with Sean Falconer about data and analytics in the AI era.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.