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Architecting AI data systems and the emergence of operating intelligence at scale
Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs make smarter calls on cost and impact.
Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
In the ever-evolving fields of artificial intelligence (AI) and machine learning, where technological progress hinges on innovation, Rishabh Shanbhag has emerged as a transformative force. His ...
Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...
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