In this paper, we introduce a data processing pipeline for cardiogenic shock (CS) prediction from the MIMIC III database of intensive cardiac care unit patients with acute coronary syndrome. The ...

The field of real-time data processing is undergoing a transformation, driven by innovative techniques that merge cost-efficiency with high performance. Sudhaka ...

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Handling massive amounts of data in real-time has become a priority for businesses in almost every industry. Traditional ETL (Extract, Transform, Load) processes, which rely on batch processing, are ...

Entering the modern data age today where everything that people do is rendered as data, enterprise data warehouses (EDWs) can ...

AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

Saravanan Thirumazhisai Prabhagaran is a Principal Architect with a rich experience in the Big Data and Cloud technologies.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

As artificial intelligence (AI) continues to grow, the demand for data processing is skyrocketing. This puts immense pressure on data centers, which require massive amounts of electricity to operate ...

Chauhan's expertise in creating AWS-centric EDL ecosystems that improve compliance, facilitate scalability, and integrate ...