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Tinyclues Vision
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Mike Aidane
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Tinyclues Vision
Mar 11, 2022
4 Design Principles for Robust Data Pipelines
Design Principles for traditional Software Engineering…
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333
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Soufiane Eddamani
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Tinyclues Vision
Oct 21, 2021
Beyond Cold-Start
How Self-Supervised and Transfer Learning Solve Real-life Marketing Problems
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496
Greg Blond
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Tinyclues Vision
Nov 25, 2020
How to derisk your CDP investment
Bridging the final mile from data to action
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449
Nicolas Colomer
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Tinyclues Vision
Jul 1, 2020
How we tamed our multi-tenancy model in less than a week
Multi-tenant configuration management can be…
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194
Tanguy
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Tinyclues Vision
Apr 1, 2022
Rapid Batch Inference in Google Cloud
How we tweaked Google’s new SQL-based ML Framework to scale our
…
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317
Axel Borja
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Tinyclues Vision
Jul 1, 2022
Explaining Data Porosity
How to handle diverse data with a permeable data infrastructure
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230
Artem Kozhevnikov
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Tinyclues Vision
Jun 25, 2020
5 design principles for antifragile predictive systems
To build successful real-world predictive systems, control theory is as important as machine learning
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271
Artem Kozhevnikov
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Tinyclues Vision
Mar 24, 2023
Group-by data augmentation for e-commerce datasets
Introducing a new training strategy for learning…
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247
David Bessis
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Tinyclues Vision
May 21, 2021
The rise of Customer Data Ecosystems
Will data clouds disrupt Martech giants?
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329
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David Bessis
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Tinyclues Vision
Jun 17, 2020
Scaling customer marketing
Customer marketing is stuck between unsustainable mass campaigns and…
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257
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Tinyclues Vision
The vision behind Tinyclues
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