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Ari Kamlani

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Fireside chat: Breaking the wall of unethical AIBig Data & AI Toronto 20212021-10-13
Advocates an evidence-based workflow: require bias assessment before launch, involve diverse beta testers, and use curated training datasets that include edge…
Panel on
Patterns of an AI lineup cardBig Data & AI Toronto 20212021-10-13
Argues that an AI portfolio needs a measurable playbook: use lineup cards to rank and sequence ranked opportunities, keep hot spares for pivots, and use…
Talk on
Scaling From Research to Production with Skymind DL4J and ScalNetScale By the Bay 20172017-11-16
Shows how DL4J/ScalNet takes a Keras/TensorFlow prototype into a JVM production pipeline: ingest via DataVec with on-the-fly batch transforms, ND4J off‑heap…
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