Apache® Spark™ News

Identify Suspicious Behavior in Video with Databricks Runtime for Machine Learning

With the exponential growth of cameras and visual recordings, it is becoming increasingly important to operationalize and automate the process of video identification and categorization. Applications ranging from identifying the correct cat video to visually categorizing objects are becoming more prevalent.  With millions of users around the world generating and consuming billions of minutes of video daily, you will need the infrastructure to handle this massive scale.