Remove 2016 Remove Big Data Remove Data Ingestion
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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

Analysts and thought leaders almost universally urge the importance of the CEO being actively involved in data initiatives. But what gets buried in the small print is the acknowledgement that many data projects never make it to production. In 2016, Gartner assessed it at only 15%. It’s all data driven,” Faruqui explains.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMT describes processors that are able to operate on data vectors and arrays (as opposed to just scalars), and therefore handle big data workloads efficiently.

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