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Kaz Sato

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titleconferencedate
AI/ML demo derbyGoogle I/O 20212021-05-18
Three concise demos show working pipelines and numbers not promises: a pipeline uses Cloud Video Intelligence API label timestamps plus the Transcoder API…
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Make your app a product with the TFX teamGoogle I/O 20212021-05-18
Announces TFX 1.0 with a stable public API and three years of critical fixes, demonstrates pipelines running on Kubernetes via Kubeflow Pipelines, on Airflow…
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Productionizing ML with ML Ops and Cloud AIGlobal Artificial Intelligence Conference 20202020-10-20
Explains a concrete MLops stack using Google Cloud: AI Platform Notebooks, Deep Learning VM and Containers, AI Platform Training and Prediction, GKE, BigQuery…
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Real-world Machine Learning with TensorFlow and Cloud AIHeapcon 20192019-10-03
Shows concrete pipelines using TensorFlow and Cloud AutoML/AutoML Vision: upload ~50,000 labeled images, train in ~12 hours for ≈$300, export a model to run on…
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Cloud TPU Pods: AI Supercomputing for Large Machine Learning ProblemsGoogle I/O 20192019-05-07
Cloud TPUs use a custom bfloat16 format and a 128x128 systolic array to pack many 16-bit multiply‑accumulators into efficient chips; TPU v2 pods reach 11.6…
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Opening KeynoteGoogle Developer Days India 20172017-12-01
Google announces concrete product and usage milestones aimed at emerging markets: 10 million users and 74 million transactions on Tez after a few months…
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