In this blog post we demonstrate how to build such a pipeline with real-world data in order to develop an iceberg classification model.
Hopsworks brings support for scale-out AI with the ExtremeEarth project which focuses on the most concerning issues of food security and sea mapping.
Recently, one of Sweden’s largest banks trained generative adversarial neural networks (GANs) using NVIDIA GPUs as part of its fraud and money-laundering prevention strategy.
This blog analyses the cost-benefits of Feature Stores for Machine Learning and estimates your return on investment with our Feature Store ROI Calculator.
Integrate with third-party security standards and take advantage from our project-based multi-tenancy model to host data in one single shared cluster.
This blog introduces the feature store as a new element in automotive machine learning (ML) systems and as a new data science tool and process for building and deploying better Machine learning models
Read how ExtremeEarth brings Large-scale AI to the Earth Observation Community with Hopsworks, the Data-intensive AI Platform.
Introducing the feature store which is a new data science tool for building and deploying better AI models in the gambling and casino business.
Deep learning is now the state-of-the-art technique for identifying financial transactions suspected of money laundering. It delivers a lower number of false positives and with higher accuracy.
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