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XConf Online Australia 2020

data engineers, machine learning engineers, mlops engineers, data platform engineers, software architects, devops engineers, product managers, ux designers

data mesh architecture; data product design; domain ownership for analytics; event driven architecture; event sourcing and Axon feeds; schema as code practices; contrastive embeddings with triplet loss; online hard-negative mining; TensorFlow embedding pipelines; model traceability and reproducibility; observability and evaluation loops; bias testing with LIME and differential privacy

titleauthorlength
Keynote - The Evolving Role of Data in Software DevelopmentMartin Fowler, Scott Shaw47m
Conference argues that hoovering raw data into lakes sometimes pays off — one team kept speculative logs for a year and later used them to diagnose performance…
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Event Driven Architecture: From Ideation to ProductionAnn Mwangi, Sarah Taraporewalla39m
Practical playbook for getting the first event into production: choose technology to match ops skills — using Event Hub with Kafka connectors when managed…
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Designing Machine Learning for HumansDiana Adorno, Karen Davis38m
Machine learning succeeds or kills based on design details not slogans: a Tempe 2018 AV crash shows radar sees a pedestrian 5.6s out and lidar 5.2s but the…
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Making Use of All Your Data, Labelled or OtherwiseJessie Wang, Brad Nguyen39m
Unlabeled fruit images are used to train embeddings via contrastive methods (augment an anchor into a positive, sample a negative) using triplet loss with…
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Designing Data Driven Projects: Beyond ML ExperimentationHarmeet Kaur Sokhi, Kiru Samapathy40m
A grocery recommendation prototype goes live, shows value, then repeatedly fails in production: a static product file expired, ephemeral EMR infrastructure…
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Keynote - Data MeshZhamak Dehghani39m
Centralised big‑data platforms repeatedly fail to scale and deliver value, according to NewVantage Partners and casework cited, so Data Mesh applies four…
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