Unique engine recommendations help give customers a shopping experience in which the most relevant products are displayed real time. By enhancing your online store's user experience with personalized recommendations you’ll need to select an algorithm that will help you with product discovery and bigger order sizes that equate to increased sales.

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SAP HANA One 244GB

This is a production-ready, upgradable to latest HANA SPS version (by Addon), single-tenant configured SAP HANA database instance. Perform real-time analysis, develop and deploy real-time applications with the SAP HANA One. Natively built using in-memory technology and now deployed on AWS, SAP HANA One accelerates transactional processing, operational reporting, OLAP, and, predictive and text analysis while bypassing traditional data latency & maintenance issues created through pre-materializing views and pre-caching query results.  

ADAPA Decision Engine

ADAPA is a predictive analytics decision engine based on the PMML (Predictive Model Markup Language) standard. With ADAPA, deploy one or many predictive models from data mining tools like R, Python, KNIME, SAS, SPSS, SAP, FICO and many others. Score your data in real-time using Web-Services, or use ADAPA in batch mode for Big Data scoring directly from your local file system or an Amazon S3 bucket. As a central solution for today's data-rich environments, ADAPA delivers precise insights into customer behavior and sensor information.

Bitfusion Boost Ubuntu 14 Caffe

Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, Caffe, pyCaffe, Python 2 & 3 support, Enum34, h5py, Matplotlib, NumPy, Pandas, PyCuda, PyDot, SciPy, SymPy, GpuStat, and Jupyter to leverage Nvidia GRID instances. Designed for developers as well as those eager to get started with the Caffe Deep Learning Framework. Caffe demos are pre-installed to show the utilization of GPUs and CPUs. Develop interactive Caffe scripts via python directly from your browser via the pre-installed Jupyter Notebook application. Get started with Caffe quickly without worrying about installation and setup.

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