WEKA for HPDA Improves Data Insights
High Performance Data Analytics (HPDA) workloads are now applying predictive models for deeper insights, and success is measured by the fast execution of algorithmic and deep learning model results. HPDA is at the intersection of high performance computing (HPC), traditional business analytics and artificial intelligence (AI). Critical applications, from fraud and anomaly detection, affinity marketing and business intelligence, are leveraging HPC technologies to gain competitive advantage. WEKA is used by leading companies who are constantly seeking out new advanced technologies to gain a competitive advantage and improve business outcomes. HPDA requires a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at Petascale.