Hewlett Packard Enterprise Announces New Machine Learning-as-a-Service Offering in HPE Haven OnDemand

Haven OnDemand, a machine learning-as-a-service platform from Hewlett Packard Enterprise, is now available commercially. This innovative cloud platform will equip developers with the groundbreaking tools necessary for building data-rich mobile and enterprise apps.

Enterprise app developers can use more than 60 APIs available through HPE Haven OnDemand to solve high-level business processes. Delivered as a service on Microsoft Azure, Haven OnDemand can deliver comprehensive analytics on data ranging from text, audio, image, social, web and video.

HPE Haven OnDemand has been in testing since its beta launch in December 2014, and the valuable feedback received by more than 12,750 registered developers has contributed to the creation of this cutting-edge deep learning tool.

One especially unique service provided by Haven OnDemand is its capability for advanced text analysis. The technology can gather detailed information on sentiment and ideas within text, such as email subject lines, to provide marketers with data they can turn into an increased ROI.

Some capabilities offered by HPE Haven OnDemand include advanced text analysis, image recognition and face detection, enterprise-search-as-a-service and predict and recommend functions.

According to Colin Mahony, SVP and GM of HPE Big Data, “Haven OnDemand democratizes big data by bringing the power of machine learning, traditionally reserved for high-end, highly trained data scientists, to the mainstream developer community.”

HPE offers a flexible approach that starts as a freemium service, enabling development and testing for free, and extends to a usage and SLA-based commercial pricing model for enterprise class delivery to support production deployments. This ensures that the platform can mature with enterprises and startups as their needs continue to scale.
 

To view a comprehensive list of Haven OnDemand’s machine learning APIs and services, visit HPE Haven OnDemand.