Data and analytics are key tools being used to disrupt a variety of industries, from retail to healthcare. Organizations log and store vast amounts of machine data -- structured and easily manipulated -- as well as human data (audio, video, speech, text) -- beautifully nuanced but complicatedly unstructured. Forward thinking organizations are logging and analyzing everything, and with HPE Haven OnDemand what was once unimaginable is now possible – the harnessing of unstructured data with infinite sample sizes while segmenting to a uniquely personal degree. The HPE Haven OnDemand platform provides advanced machine learning APIs and services, enabling developers, startups and enterprises to build data-rich mobile and enterprise applications. All offered as a service in the Cloud.

BOSTON, Aug. 3, 2016 – AnDevCon – Hewlett Packard Enterprise (NYSE: HPE) today announced the availability of HPE Mobile Center 2.0, an integrated software development testing suite designed to help organizations rapidly build, test, and deliver high-quality mobile applications. HPE Mobile Center leverages HPE Haven OnDemand, HPE Fortify on Demand, and open source testing tools including Selenium and Appium, allowing developers to test any app operation and cover any user scenario. To significantly scale the number of devices that are tested, HPE Mobile Center is now integrated with Amazon Web Services Device Farm (AWS Device Farm) – a service that helps mobile app developers quickly and securely test their apps on smartphones, tablets, and other devices to improve the quality of their Android and iOS apps. HPE is expanding Mobile Center capabilities to provide users with a predictable and repeatable mechanism for testing, monitoring, and improving any mobile app. The integration with HPE Haven OnDemand and HPE Fortify on Demand provides development teams with powerful capabilities that leverage machine learning from testing data and user feedback to help guide the application development direction, with security built in from the beginning.

Hot day for Big Data at HPE Discover in Vegas as Robert Youngjohns, the EVP and GM of HPE's software business, outlined a strategic overview of our big bet on applied machine learning. As Robert unveiled our point of view, he shared that in the early days of computing everything started with the definition of business processes. We wrote code to automate these processes and stored the associated information in structured datasets, which we called…wait for it, wait for it…..databases! In many ways this is still the paradigm on which the great majority of applications used today is built. Today everyone and everything is producing data – from enterprise apps, mobile phones, wearable devices, thermostats, sensors and more.

In the recent movie "Ex Machina," a young programmer falls in love with a robot. An artificial-intelligence mastermind had engineered his robot so that "she" appears to think, feel and love in a way that was uncannily human. He had also mined and analyzed the young man's online history deeply enough to create the woman of his dreams. Long before anybody actually meets the perfect robot mate, however, intelligent, "learning" machines capable of advanced data analytics will be ever more precise in matching one human to another--and in predicting the success of computer-assisted matchups, which will improve the odds that our real-world romantic relationships will last. Leaps in digital technology have already made drastic changes to 21st century romance.

Data science and cognitive computing are 2 leading contemporary analytics computing paradigms. Though distinct areas of specialization, both models entail considerable overlap in technologies and tools, and often share similar goals, outcomes, and aspirations. Both archetypes are data-driven, are often large scale, and increasingly rely on high performance computing. Data science encompasses machine learning and other analytic processes, statistics and related branches of mathematics, in order to extract insight from data and use it to tell stories. Data science employs all sorts of different tools from a variety of related areas, including data mining, artificial intelligence, and Big Data.

While both HPE and Microsoft machine learning platforms offer numerous possibilities for developers and data scientists, HPE Haven OnDemand is a diverse collection of APIs for interacting with data designed with flexibility in mind, allowing developers to quickly perform data tasks in the cloud. Data is big, complex, and growing exponentially in volume. Perhaps most importantly, data is not a fad, and the challenges associated with it are not going anywhere. With organizations inundated with data these days, turning it from liability to asset can be a challenge, with the greatest potential asset being insight. With such a wide availability of data-related tools today, it can be difficult to know where to begin looking for help.

HPE takes machine learning efforts to the mainstream, giving developers easy, fast, and proven tools for building data-rich applications. Hewlett Packard Enterprise (HPE) is proud to announce the immediate commercial availability of HPE Haven OnDemand, an innovative platform that provides advanced machine learning APIs and services that enable developers, startups, and enterprises to build data-rich mobile and enterprise applications. With over 60 APIs and services, HPE Haven OnDemand offers deep learning and analytics on a wide range of data, including text, audio, image, social, web, and video. For a full list of available machine learning APIs and service, please visit HPE Haven OnDemand. Colin Mahony, Senior Vice President and General Manager, HPE Big Data, shares, "HPE 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. Now anyone can leverage our easy to use cloud-based service to harness the rich variety of data available today to build applications that produce new insights, differentiate business, delight customers and deliver competitive advantage."

Hewlett Packard Enterprise is expanding into cloud services to help companies build data-rich mobile and enterprise applications and analyze data such as photos, audio clips and comments on social media. Haven OnDemand, which runs on computers operated by Microsoft's Azure cloud-computing, gives users access to sophisticated techniques such as machine learning without the need to maintain a data center or develop the underlying technology. HPE first pioneered this effort in December 2014 with the beta launch of HPE Haven OnDemand. Today, HPE Haven OnDemand has more than 12,750 registered developers who currently generate millions of API calls per week, and have provided feedback to improve and refine the offering. "The software industry is on the cusp of a new era of breakthroughs, driven by machine learning that will power data-driven applications across all facets of life," said Kamal Dutta, Managing Director - Software, Asia Growth Countries, Hewlett Packard Enterprise.

Data is big, complex, and growing exponentially in volume. Perhaps most importantly, data is not a fad, and the challenges associated with it are not going anywhere. With organizations inundated with data these days, turning it from liability to asset can be a challenge, with the greatest potential asset being insight. With such a wide availability of data-related tools today, it can be difficult to know where to begin looking for help. This is where HPE Haven OnDemand comes in.

Hewlett Packard Enterprise last week announced the public availability of its HPE Haven OnDemand Machine Learning as a Service. The Microsoft Azure cloud-based platform provides more than 60 APIs and services that deliver deep learning analytics on a variety of data, including text, audio, images, social Web and video. Launched in beta in 2014, HPE Haven OnDemand has more than 12,750 registered developers generating millions of API calls per week, the company said. Usage- and SLA-based pricing for enterprise-class delivery to support production deployment also are available. "We're bringing a unique solution to the market built on almost a decade of experience in advanced analytics and machine learning that has been proven," said Jeff Veis, VP of marketing for big data at HPE. "We have leveraged this experience into both the design and approach that we have adopted for Haven OnDemand," he told the E-Commerce Times.