~/talks

Animesh Singh

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Training AI To Code Using the Largest Code DatasetKubeCon + CloudNativeCon North America 20222022-10-24
Project CodeNet is a 14 million–sample, 500 million–line dataset across 55 languages (CDLA v2) used with the Machine Learning Exchange to preprocess, subset…
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Bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Pla...Open Source Summit Europe 2022: Open AI + Data Forum2022-09-13
KFP v2 IR provides a platform-neutral pipeline spec that lets Kubeflow Pipelines and Google Vertex AI share the same component-based representation; an…
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Training AI To Code Using The Largest Code Dataset (Project CodeNet)Open Source Summit Europe 2022: Open AI + Data Forum2022-09-13
Project CodeNet is a 14 million–sample, 500 million–line corpus across 55 languages that the team uses with Project CodeNet subsets, DataShim and the Machine…
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MLSecOps with Automated Online and Offline ML Model Evaluations on KubernetesOpen Source Summit Latin America 2022: Open AI + Data Forum2022-08-23
Open source tools run automated adversarial and fairness checks during training and at runtime using Adversarial Robustness Toolbox and AI Fairness 360, with…
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MLSecOps with Automated Online and Offline ML Model Evaluations on KubernetesOpen Source Summit Latin America 20222022-08-23
Demonstrates a concrete ML security stack: Adversarial Robustness Toolbox (Python) plus AIF360/XAI toolkits integrated into Kubeflow + KServe for online…
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Model Serving at the Edge Made EasierKubernetes on Edge Day Europe 20222022-05-17
ModelMesh is deployed on a Jetson Nano running MicroShift and registers about 17 DenseNet ONNX models (~36 MB each) as ready; inference is sub-second when a…
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Defending Against Adversarial Model Attacks Using KubeflowKubernetes AI Day North America 20212021-10-12
Built pipelines that embed Adversarial Robustness Toolbox (ART) into Kubeflow Pipelines and a KFServing explainer to run attacks and defenses automatically…
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Serving Machine Learning Models at Scale Using KServingKubeCon + CloudNativeCon North America 20212021-10-11
KServe adds a Model Mesh component that packs many models into shared runtimes and routes to them using a distributed model mesh LRU cache, reducing per-model…
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AI Pipelines Workflows and ML lineage using Tekton PipelinesOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
KubeFlow Pipelines gets ported to run on Tekton instead of Argo, providing a Python DSL plus KubeFlow Pipelines on Tekton execution. Metadata and lineage use…
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End-to-end AI Marketplace with Execution Engine on KubernetesOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
Announces an open catalog called machine learning exchange that registers datasets models pipelines components and notebooks, can run on Kubernetes/OpenShift…
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Defending Against Adversarial Model Attacks using KubeflowOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
Demonstrates concrete defenses by integrating the Adversarial Robustness Toolbox (ART) into Kubeflow Pipelines and KFServing, with payload logging for…
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Stand up for ethical AI! How to detect and mitigate AI bias using KubeflowKubernetes AI Day Europe 20212021-05-04
Shows a working Kubeflow pipeline that plugs IBM’s libraries into KFServing to detect and mitigate bias: AI Fairness 360 runs 70+ fairness metrics and exposes…
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Advanced Model Inferencing Leveraging KNative, Istio & Kubeflow ServingKubeCon + CloudNativeCon North America 20192019-11-18
Kubeflow Serving integrates Istio and Knative to deliver model serving with scale-to-zero and request‑based autoscaling, built-in canary traffic splitting, and…
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Open Standards for Machine Learning DeploymentKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Covers practical adoption of open ML formats and concrete tradeoffs: PMML works well for classical models and metadata but lacks deep‑learning and custom ops…
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Open Standards for Machine Learning DeploymentKubeCon + CloudNativeCon China 20192019-06-24
Compares practical deployment formats: PMML, PFA and ONNX, and how they map to scikit‑learn, Spark ML, TensorFlow, Keras and PyTorch. Reports strengths and…
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Build an Event Driven Machine Learning Pipeline on KubernetesKubeCon + CloudNativeCon China 20192019-06-24
Join us for Kubernetes Forums Seoul, Sydney, Bengaluru and Delhi - learn more at kubecon.io Don't miss KubeCon + CloudNativeCon 2020 events in Amsterdam March…
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Build an Event Driven Machine Learning Pipeline on KubernetesKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Build an Event Driven Machine Learning Pipeline on Kubernetes - Animesh Singh & Hou Gang, IBM AIOps as a field is becoming the need of the hour. With various…
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Deploy and Use a Multiframework Distributed Deep Learning Platform on...PyData Los Angeles 20182018-10-17
Fabric for Deep Learning (FfDL) is a Kubernetes microservice platform that runs training in containerized learners, stores data and models in object storage…
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Enable your Microservices with Advanced Resiliency and Fault Tolerance Leveraging IstioKubeCon + CloudNativeCon North America 20172017-12-06
Claims that Istio extracts resiliency from apps into the platform and uses Envoy sidecars, Pilot and Mixer to enforce routing, rate limits and circuit…
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Apache OpenWhiskDevoxx US 20172017-03-21
OpenWhisk is an Apache serverless platform on Bluemix that runs actions as Docker containers, uses Kafka for messaging and CouchDB/Cloudant for state, and…
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Finding and Organizing a Great Cloud Foundry User GroupCloud Foundry Summit 20152015-05-11
Practical playbook for starting a Cloud Foundry meetup: use Meetup.com for discovery, expect ~30–40% turnout of RSVPs, schedule on Tuesday–Thursday evenings…
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Cloud Foundry and OpenStackCloud Foundry Summit 20142014-06-09
IBM and Rackspace report a working integration that deploys Cloud Foundry on OpenStack using Chef Fog BOSH and Ruby tooling, automating from bare metal to…
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