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How to use OpenShift Data Science for fraud detection
Learn how to use the Red Hat OpenShift Data Science platform and Starburst to develop a fraud detection workflow with an AI/ML use case.
Red Hat OpenShift Data Science
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Why GPUs are essential for AI and high-performance computing
Learn why graphics processing units (GPUs) have become the foundation of artificial intelligence and how they are being used.
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Boost OpenShift Data Science with the Intel AI Analytics Toolkit
Intel AI tools save cloud costs, date scientists' time, and time spent developing models. Learn how the AI Kit can help you.
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Red Hat OpenShift Data Science in your own cluster
A cloud service that gives data scientists and developers a powerful AI/ML platform for building intelligent applications.
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Use OpenVINO to convert speech to text
OpenVINO helps you tackle speech-to-text conversion, a common AI use case. Learn more.
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Learn how to build, train, and run a PyTorch model
Once you have data, how do you start building a PyTorch model? This learning path shows you how to create a PyTorch model with OpenShift Data Science.
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Monolith to microservices: The journey to the new normal
The second part in our webinar series to introduce you to application modernization.
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Wearable Tech: A Developer’s Security Nightmare
Web developers and IT professionals are the foundations of any quality business’ data security. However, with technology constantly changing and evolving as well as becoming more consumer-friendly, this data’s vulnerability only increases and it can often be hard to even notice how this new technology can actually affect your company until it occurs. Despite this, ignorance to modern hacking techniques does not refute their inability to transform even the smallest of devices into a weapon with which to infect or...