Dataflow for Real-time ML and Generative AI // TRAIN BRAIN

Dataflow for Real-time ML and Generative AI

Real-time ML and generative AI with Dataflow → https://goo.gle/3MVpUmF
Start building with Dataflow ML → https://goo.gle/3XxfnE0
Deploy with sample code → https://goo.gle/3XvlNng
Build and deploy real-time machine learning and generative AI pipelines with Google Cloud’s Dataflow. Learn how Dataflow empowers developers to process massive data streams and make predictions on the fly using custom or pre-trained models. Watch along and discover how Dataflow seamlessly integrates with Vertex AI to unlock the full potential of your real-time applications.
Chapters:
0:00 - Intro
0:25 - Example business scenario
1:26 - What is Dataflow?
1:44 - Dataflow integration with Vertex AI
2:05 - Dataflow’s unique capabilities for ML & generative AI
2:59 - Sample architecture diagram
3:40 - Additional benefits, industry examples, and technical considerations
4:28 - Learn more
More resources:
Dataflow for ML and Gen AI Sketch → https://services.google.com/fh/files/blogs/dataflow_sketch_real_time_ml_gen_ai.pdf
Learn more about Dataflow ML → https://cloud.google.com/dataflow/docs/machine-learning/ml-about
Process data with MLTransform → https://cloud.google.com/dataflow/docs/machine-learning/ml-preprocess-data
Other common Dataflow use cases → https://cloud.google.com/products/dataflow?e=48754805#common-uses
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#Dataflow #VertexAI #GoogleCloud
Speakers: Jeff Nelson
Products Mentioned: Cloud - Data Analytics - Dataflow - Vertex AI

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