Open AI + Data Forum @ Open Source Summit North America 2022
2022-06-21..2022-06-24
-- online --
[Open AI + Data Forum @ Open Source Summit North America 2022, Open AI + Data Forum @ Open Source Summit North America 2023, Open AI + Data Forum @ Open Source Summit North America 2024]
[Open Source Summit Latin America 2022: Open AI + Data Forum, Open Source Summit Europe 2022: Open AI + Data Forum, Open AI + Data Forum @ Open Source Summit Europe 2023, AI_dev: Open Source GenAI & ML Summit Europe 2024, AI.dev: Open Source GenAI & ML Summit North America 2023, Big Data Conference Europe 2022]
| title | author | length |
|---|---|---|
| Automating Airflow Backfills with Marquez | Willy Lulciuc | 35m |
Shows how to use Airflow + Marquez + OpenLineage to automate downstream backfills by querying Marquez’s lineage REST API, traversing out-edges and invoking… | ||
| Building ML Pipelines in JupyterLab Using Elyra - Without the Need to Write Code | Patrick Titzler | 42m |
Elyra extends JupyterLab with a visual pipeline editor that wires notebooks, Python/R scripts and custom components into runnable workflows, compiles them to… | ||
| Computer Vision to Secure Your Surroundings with AI/ML Solution Built Using Open Source Tools at the Edge | Samantha Coyle, Neethu Elizabeth Simon | 46m |
A working edge reference implementation combines OpenVINO inference engine with GStreamer/DL Streamer, an RTSP Simple Server input, Dockerized Go… | ||
| Democratizing Deep Learning at Scale with Horovod | Nicolas Castet, Travis Addair | 38m |
Democratizing Deep Learning at Scale with Horovod - Nicolas Castet, Nvidia & Travis Addair, Predibase | ||
| Openbytes Builds Open Dataset Standards and Schema Aiming to Bring Transformational Changes to AI by Making Open Datasets More Available and Accessible | Edward Cui | 36m |
Claims a unified dataset schema called Portex schema language that lets projects import and compose types from other GitHub repos, instantiate templates (e.g… | ||
| Real-Time Analytics: Going Beyond Stream Processing with Apache Pinot | Rong Rong, Karin Wolok | 38m |
Real-Time Analytics: Going Beyond Stream Processing with Apache Pinot - Rong Rong & Karin Wolok, StarTree | ||
| Delta Lake: Diving into Data Lakes Without the Downsides | Kelly O'Malley | 39m |
Delta Lake presents an open source file protocol that layers a JSON transaction log on Parquet files to provide ACID tables, with Spark compacting the log into… | ||
| ETL - Extract Trino Load - A Case for Trino as a Batch Processing Engine | Andrii Rosa | 45m |
Argues Trino can be a fault-tolerant batch ETL engine by adding an exchange buffer so tasks run and recover independently instead of streaming everything at… | ||
| Evolution of Milvus Cloud-Scalable Vector Database | Charles Xie, Frank Liu | 40m |
Evolution of Milvus Cloud-Scalable Vector Database - Charles Xie & Frank Liu, Zilliz | ||
| Mitigating Bias in Models with SHAP and Fairlearn | Sean Owen | 42m |
Mitigating Bias in Models with SHAP and Fairlearn - Sean Owen, Databricks | ||
| Panel Discussion: How Open Source Helps DataOps | David Radley, Cheranellore Vasudevan, Mandy Chessell, Dan Wolfson | 44m |
Panelists describe concrete wins: use Egeria to federate catalogues so disparate tools like Airflow, Great Expectations and DataHub share metadata; adopt Open… | ||
| Table Formats Change Everything (By Not Changing Anything) | Ismaël Mejía | 36m |
Table formats (Delta Lake, Apache Iceberg, Apache Hudi) pack Parquet files under a metadata layer that exposes ACID updates and concurrent writers via JSON… | ||
| BoF: An Open Future for Conversational AI -- Why is it Important, and How Do We Get There? | Jon Stine, Oita Coleman | 46m |
BoF: An Open Future for Conversational AI -- Why is it Important, and How Do We Get There? - Jon Stine & Oita Coleman, Open Voice Network | ||
| Flagging *and* Fixing Bias in ML | Bhaktipriya Radharapu | 31m |
A practical roadmap that flags where bias enters — problem framing, data, training, evaluation, deployment — and offers concrete fixes: Know Your Data finds… | ||
| Integrating High Performance Feature Stores with KServe Model Serving | Ted Chang, Chin Huang | 29m |
Integration shows Feast online store on Redis wired into KServe Model Mesh via a transformer that fetches live features with the go-based SDK and sends… | ||
| Labeling Tools are Great, but What About Quality Checks? | Marcus Edel, Jakub Piotr Cłapa | 29m |
Argues that dataset QA improves dramatically by grouping visually similar crops so humans spot systematic mistakes; implements an open‑source browser tool that… | ||
| Lightning Talk: A Component Registry for Kubeflow Pipelines | Christian Kadner | 10m |
A component registry standardizes Kubeflow Pipelines component publishing and discovery with a REST API and SDK methods to load components and create runs… | ||
| Lightning Talk: A GNN Based Framework for Kubernetes Security Agents: Threat & Vulnerability... | Zeyno Dodd | 14m |
A GNN-based Kubernetes security prototype maps live OpenMetrics into a heterogeneous knowledge graph, ingests MITRE and Microsoft threat mappings, and runs… | ||
| Lightning Talk: Demystifying Challenges/Learnings in Converting an Old-school Textile Inspection Machine into a Smart System Using AI/ML | Neethu Elizabeth Simon, Scott Thomas | 10m |
Converted an old textile inspection rig into a working AI line that captures fabric at four pixels per mm² using a Basler camera + Pylon pipeline, trains with… | ||
| Lightning Talk: Intellectual Cognitive Development in Artificial Intelligence | Ritwik Sharma | 09m |
Argues that current AI optimizes numeric neuron values and weights to minimize loss rather than develop cognitive intellectual growth, cites that humans learn… | ||
| Lightning Talk: Introducing Kubeflow Metal: Your Machine Learning Platform on Baremetal Kubernetes | Keith Mattix II, Charles Adetiloye | 10m |
Kubeflow Metal packages a reproducible terraform module to install Kubeflow onto bare‑metal Kubernetes using Equinix Metal, kubeadm, the local-path PVC… | ||
| Searching for the Right Words: Bringing NLP to Apache solr through ONNX and OpenNLP | Jeff Zemerick | 41m |
Converts Hugging Face Transformers models to ONNX runtime models, inspects inputs/outputs with Netron, and wires them into Java OpenNLP so Lucene/Solr can call… | ||
| The Unlimited Potential of Neural Search to Unlock the New Way of Data Comprehension | Bing HE | 30m |
The Unlimited Potential of Neural Search to Unlock the New Way of Data Comprehension - Bing HE, Jina AI | ||
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