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Building a machine learning (ML) platform to support the scale of a leading advertising business is demanding. In this video, Samsung Ads shares its journey of building a scalable ML platform on Snowflake beginning with a descriptions of the architecture and data flows of the ML platform, which was designed to support the development and deployment of ML models. Samsung Ads describes key design choices made during its journey, including the adoption of Snowflake, Snowflake SQL, and Snowpark, which helped them improve scalability, streamline workflow, and boost productivity. The video also discusses how Samsung Ads addressed security, data compliance, observability, and cost optimization. ❄Join our YouTube community❄ https://bit.ly/3lzfeeB Learn more about Snowflake: ➡️ Website: https://www.snowflake.com ➡️ Careers: http://careers.snowflake.com ➡️ Podcast page: https://bit.ly/3sFXst6 ➡️ Twitter: / snowflakedb ➡️ Instagram: / _snowflake_inc ➡️ Facebook: / snowflakedb ➡️ LinkedIn: https://bit.ly/2QUexl4 ➡️ Sign up for our weekly live demo program and have your questions answered by a Snowflake expert at https://bit.ly/2TdVCmJ Listen on: 🔈 Apple Podcasts: https://apple.co/3cCdrCU 🔈 Spotify: https://spoti.fi/39vCNjH 🔈 Simplecast: https://bit.ly/3rFCrgA #Snowflake #DataCloud