~/talks

Karl Weinmeister

what they talk about

all 6 in the filters

where they keep going back

no series more than once — all 9 in the filters

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who talks about the same things

titleconferencedate
Developer keynote deep diveGoogle Cloud Next '262026-04-22
Live coding shows which announcements actually work: hands-on demos of Gemini Enterprise and the new Agent Engine, Replit’s agent already builds >50% of its…
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Use cases for Gemini Code AssistGoogle Cloud Next 20242024-04-09
Gemini Code Assist claims to write tests, optimize performance, and detect bugs while also generating comments and code explanations. It appears in the Google…
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10 Things That Can Go Wrong with ML ProjectsConf42 Machine Learning 20212021-07-29
Lists ten concrete failure modes for ML projects and maps each to remedies: start with a prototype and baseline, avoid jumping straight to heavy models, expect…
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Google's AI MapGoogle I/O 20212021-05-18
An AMA that gives concrete tools and results: demos show Vertex neural architecture search producing a more accurate spam model than Model Maker, a…
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AI in the CloudGoogle I/O 20212021-05-18
Vertex AI appears as a one‑stop platform that actually unifies datasets, notebooks, AutoML and custom training (TensorFlow/PyTorch) and supports Managed…
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Tutorial: From Notebook to Kubeflow Pipelines to KFServing: the Data Science OdysseyKubeCon + CloudNativeCon North America 2020 Virtual2020-11-17
Deploys MiniKF in ~15 minutes, uses Jupyter + Kale converts notebooks to Kubeflow Pipelines without Docker builds, snapshots environment with Rok so notebook…
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Cloud AI Services: What they are and how to use themGlobal Artificial Intelligence Conference 20202020-10-20
Overview of concrete tools, limits and examples: Google Cloud offers prebuilt APIs for text, image and video (Natural Language, Vision, Video Intelligence)…
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Deploy your ML Workloads on Kubernetes with KubeflowOpen Source 101 at Home 20202020-05-12
Kubeflow claims to make ML on Kubernetes simple, portable and scalable and shows concrete tooling: Kubeflow Pipelines, TFX components, kfctl install and…
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Lightning Talk: Build a Reproducible ML Workflow with Kubeflow PipelinesOpen Source Summit + Embedded Linux Conference North America 20192019-08-21
Kubeflow Pipelines provides a reproducible, portable ML lifecycle running on Kubernetes and Docker, with a Python SDK that compiles code-defined workflows into…
Lightning on
IgnitesDevOpsDays Tampa Bay 20192019-06-21
Nine short talks cover concrete claims and tools: Kubeflow on Kubernetes for experiment tracking, Jupyter notebooks and portable ML pipelines; a Sprint Zero…
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