Author: AI Generated Robotic Content

Deploying machine learning (ML) models into production can often be a complex and resource-intensive task, especially for customers without deep ML and DevOps expertise. Amazon SageMaker Canvas simplifies model building by offering a no-code interface, so you can create highly accurate ML models using your existing data sources and without writing a single line of …

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Effective AI systems operate on a foundation of context and continuous trust. When you use Dataplex Universal Catalog, Google Cloud’s unified data governance platform, the metadata that describes your data is no longer static — it’s where your AI applications can go to know where to find data and what to trust. But when you …

Read more “Build trust and context for AI with lineage, now at column-level granularity”

By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason Tu This is part 3 in a series called “Behind the Streams”. Check out part 1 and part 2 to learn more. Picture this: It’s seconds before the biggest fight night in Netflix history. Sixty-five million fans are waiting, devices in hand, hearts pounding. The …

Read more “Behind the Streams: Real-Time Recommendations for Live Events Part 3”