Are you a data scientist or developer using Python to build AI models and generative AI applications? Learn how BigQuery can supercharge Python data science workflows with capabilities that give you the productivity of Python and allow BigQuery to handle core processing. Offloading Python processing enables large-scale data analysis and seamless production deployments along the data-to-AI journey. Find out how Deutsche Telekom modernized their machine learning platform with a radically simplified infrastructure and increased developer productivity.

Join Google Cloud's Yasmeen Ahmad, Deutsche Telekom's VP of Data & Architecture Ashutosh Mishra and Snap's Senior Engineering Leader Bo Chen for a fireside chat exploring the future of the data lakehouse. They'll discuss how evolving architectures can empower organizations to handle explosive data growth and leverage the full potential of AI. Gain valuable insights into building a future-proof data foundation that fuels innovation in 2025 and beyond.

Join this session to learn the latest innovations for BigQuery to support all data, be it structured or unstructured, across multiple and open data formats, and cross-clouds; all workloads, be they Cloud SQL, Spark, or Python; and built-in AI, to supercharge the work of data teams and unlock generative AI across new use cases. Learn how you can take advantage of BigQuery, a single, unified data platform that combines capabilities including data processing, streaming, and governance.

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