Snowflake Integration in Life Sciences and Drug Discovery

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This chapter explores how Snowflake enhances life sciences workflows by enabling the integration of AI and machine learning algorithms, especially in drug discovery. It covers the announcement of container services for algorithm containerization, handling diverse data types, and deploying various models within Snowflake. The discussion also includes the evolution of programming languages, product investments, partnerships in the biotech sector, and cutting-edge technologies like Cortex AI for managing machine learning models.

The growing use of large datasets and ML in the life sciences has created new demand for data technologies. Snowflake is a cloud-based data warehousing company that provides a platform for storing and analyzing large volumes of data.

Harini Gopalakrishnan is the Field CTO of Life Sciences at Snowflake. She joins the show to talk about data challenges and solutions in biotech.

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 .