How to build an AI powered mobile ad platform
Meet Chang Kim, the VP of Engineering at MOLOCO. MOLOCO is focused on empowering businesses by helping them take a datadriven approach to their mobile advertising, and specializes in processing large amounts of data while leveraging machine learning technologies. Watch an exciting interview with Chang Kim as Max Saltonstall takes a deeper dive into MOLOCOs scalable adserving cloud architecture. Chapters: 0:00 Intro 0:33 Who is Moloco 1:10 How does a mobile ad get to my phone 5:56 Neural Network models in use 6:45 Getting the system to scale up for high demand 8:51 Building the ad serving pipeline on Google Cloud 12:30 Online service architecture 13:17 Running the bid processor on Kubernetes 14:16 Storing and using ad data for training and analysis 16:14 Data architecture diagram 17:02 Using Dataflow to handle moving data around 18:03 Reasons for using BigTable 18:49 Optimizing for cost control 20:36 Why Moloco choose Google Cloud Architecting with Google Cloud playlist ht
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