In Memory Computing Speeds Results

In-Memory Computing can accelerate traditional applications by using a memory first design. Applicable to a wide range of domains, In-Memory Computing and In-Memory Data Grids take advantage of the latest trends in computer systems technology. "In-memory computing is designed to address some of the most critical and real-time task requirements today. This include real-time fraud detection, biometrics and border security and financial risk analytics. All of these use cases require very low latency access to data from very large amounts of data, which results in faster and more accurate decisions."

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