
Software Engineering Daily
AI Data Analytics at Google with Gerrit Kazmaier
Sep 10, 2024
Gerrit Kazmaier, VP and GM for Database, Data Analytics, and Looker at Google, shares his extensive experience in data and analytics. He discusses the transformative impact of generative AI on data management, advocating for a shift in workflows from SQL to Python. The integration of traditional databases with modern AI systems is explored, emphasizing their synergy in capturing enterprise knowledge. Kazmaier also highlights trends in data management, including the consolidation of systems and the vital role of governance frameworks to ensure trustworthy AI interactions.
49:05
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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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