BIG inspiration from #AlteryxInspire: See real customer stories on how you can drive performance with a culture of collaboration, sharing and innovation. Watch @Mastercard present a masterclass in democratizing and scaling synthetic data innovation: https://
ow.ly/kb9e50Pc9Te
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Mastercard democratizes synthetic data innovation at AlteryxInspire
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Google Privacy Sandbox Testing Discussion
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Anyone have a few minutes today to chat about Google’s Privacy Sandbox? Would love to ask a few questions about testing, etc.
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Top 10 Data Science Myths Debunked and Explained
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Top 10 Data Science Myths Busted By @ingliguori via @kenovy_it https://
bit.ly/3D9ZNDn In this article, we will bust the top 10 myths about data science. #DataScience #DataAnalytics #dataviz #innovation #DigitalTransformation #DataDriven -
Aflac Leverages DataRobot AI Platform for Predictive Business Value
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“As a Fortune 500 company that offers financial protection to millions of customers and policyholders, Aflac Inc. leverages DataRobot Inc.’s end-to-end AI and machine learning lifecycle platform to drive real business value through the power of prediction" @aflac shares insight
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Synthetic Data in AI: From Labeling to Sensitive Data
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AI companies have been testing and using synthetic data (at least) since we a) realised that labels are expensive in supervised deep learning and b) started seriously looking at AI on sensitive data.
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Data Strategy: Core Asset for Digital Business Transformation
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In the digital age, data is not just a byproduct of business activities but a core business asset. New article "Understanding Data Strategy for Charting the Course of Digital Business Transformation" > https://
bit.ly/3OmcpOn by @antgrasso #DataStrategy #BusinessTransformation -
GANs: Data Sources for Generating Images
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In terms of methodology, they notably use GANs (Generative Adversarial Networks) to generate images. But where does the data come from? (More details on GANs in my YouTube video where we generate a Miss France face.)
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Critique of Gzip OOD Evaluation and Data Leakage in ML
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I looked a little into the Gzip OOD results and there seems to be another big problem: train-test overlap. E.g. DengueFilipino has the same train and test set. KirundiNews has 90% overlap… Still nice to see people revisit old ideas and the use of information theory for ML 🙂 x.com/giffmana/statu…
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The challenge of building national datasets for AI training
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Avec quelles bdd ? L’anglais c’est la langue d’internet donc c’est obvious de trouver des quantités astronomiques de données. Les seuls autres pays qui ont construit des bdd nationales qui serait de taille ok c’est la Russie et la Chine. En Europe on découvre à peine.
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Synthetic Data: AI’s Solution to High-Quality Data Scarcity
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High-quality data is a major limiting resource in advancing AI – it’s expensive, hard to obtain & increasingly being locked down. So what do AI companies do? My
@FT
piece on the trend of creating “synthetic data” to push forward AI development.