Data-Centric AI Summit 2022
# datacentricaisummit2022
Landing AI – AI – Moving Beyond the Software Industry
Kai Yang · Sep 30th, 2022
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# day2summit
# monitor
# observe
# explain
# aiatscale2023
# datacentricaisummit2022
# 3March2022
# 7April2022
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Piotr Zelasko · Sep 30th, 2022
Meaning – Lhotse: a speech data representation library for the modern deep learning ecosystem
# datacentricaisummit2022
Gonçalo Martins Ribeiro, Ce Zhang, Mario Figueiredo & Stavros Zervoudakis · Sep 30th, 2022
Panel Discussion – The Impact of Academia on AI/ML Innovation
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Pardhu Gunnam · Sep 30th, 2022
Metaphor Data – Solving Data Discovery with Modern Metadata Platform
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Stijn “Stan” Christiaens · Sep 30th, 2022
Collibra – The Data Mesh: a new hope in the modern data stack
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Soumyendu Sarkar · Sep 30th, 2022
HPE – Refining ML models with ML
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Sergey Koshelev · Sep 30th, 2022
Toloka – Search relevance evaluation using crowdsourcing
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Seth Clark · Sep 30th, 2022
Modzy – Leveraging Prediction Data for Model Retraining
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Peter Mattson, Daniel Galvez & Mark Mazumder · Sep 30th, 2022
MLCommons – MLCommons and public data
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Nicholas Schenone · Sep 30th, 2022
Iguazio – Transforming Snowflake into an MLOps ‘Feature Factory’ using Iguazio
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Chad Sanderson, Atalia Horenshtien, Fedor Zhdanov & Anupam Datta · Sep 30th, 2022
Panel Discussion – Production Data Centric AI and What It Means
# datacentricaisummit2022
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Monitoring on Structured Data and Beyond
Danny D. Leybzon
Iguazio - Experiment Tracking - March 2022
Yaron Haviv
Seldon - Model Serving Event - April 2022
Ed Shee
HPE – Refining ML models with ML
Soumyendu Sarkar