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Gerrit Kazmaier, VP and GM for Database, Data Analytics and Looker at Google, teams up with Sean Falconer, a former academic and startup founder now leading marketing at Skyflow. They dive deep into the interplay of AI and data analytics. Key topics include the critical role of data quality in AI success, the integration of traditional databases with AI to enhance workflows, and the evolving landscape of data management. They also touch on the significance of human oversight in AI applications and the transformative effects of large language models on technology interaction.
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Quick takeaways
- Gerrit Kazmaier highlights how the evolving role of data analytics at Google is shifting towards leveraging unstructured data for generative AI applications.
- The podcast emphasizes the redefinition of data quality and preparation, showcasing how AI models can effectively process messy data with innovative prompting strategies.
Deep dives
Garrett Cosmaere's Career Journey
Garrett Cosmaere, currently the VP of Database, Data Analytics, and Looker at Google, has built a rich career in the data and analytics space, starting as a junior developer at SAP. His decade-long tenure there coincided with the development of key innovations such as SAP HANA, marking his involvement in the infrastructure of enterprise-grade databases. After moving to Google around three and a half years ago, he transitioned to leading data and analytics services, showcasing his adaptable skills across different data technologies. Cosmaere's insights reflect the evolution of data roles and the broadening of responsibilities as technology advances.
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