https://community.databricks.com/t5/machine-learning/youtu-be/m-p/18559#M1017 <P></P><P>I'm Avi, a Solutions Architect at Databricks working at the intersection of Data Engineering and Machine Learning.</P><P></P><P>Streaming data processing has moved from niche to mainstream, and deploying machine learning models in such data streams opens up a multitude of possibilities. However, most data teams shy away from this approach because of its complexity. In this talk at GitHub Universe 2022, through retail industry-specific applications, I explain how Databricks Delta Live Tables, AutoML, and Github Actions can be used together to make production-grade streaming machine learning simple and feasible. Please check it out and let me know what you think!</P><P></P><P><A href="https://youtu.be/ogk__G33E-A" alt="https://youtu.be/ogk__G33E-A" target="_blank">https://youtu.be/ogk__G33E-A</A></P> Mon, 05 Dec 2022 14:48:33 GMT User16752245767 2022-12-05T14:48:33Z https://community.databricks.com/t5/machine-learning/youtu-be/m-p/18559#M1017 <P></P><P>I'm Avi, a Solutions Architect at Databricks working at the intersection of Data Engineering and Machine Learning.</P><P></P><P>Streaming data processing has moved from niche to mainstream, and deploying machine learning models in such data streams opens up a multitude of possibilities. However, most data teams shy away from this approach because of its complexity. In this talk at GitHub Universe 2022, through retail industry-specific applications, I explain how Databricks Delta Live Tables, AutoML, and Github Actions can be used together to make production-grade streaming machine learning simple and feasible. Please check it out and let me know what you think!</P><P></P><P><A href="https://youtu.be/ogk__G33E-A" alt="https://youtu.be/ogk__G33E-A" target="_blank">https://youtu.be/ogk__G33E-A</A></P> Mon, 05 Dec 2022 14:48:33 GMT https://community.databricks.com/t5/machine-learning/youtu-be/m-p/18559#M1017 User16752245767 2022-12-05T14:48:33Z