The Internet of Things is the evolution of machine-to-machine (M2M) technology and is the interconnection of devices and management platforms. Some IoT devices see, while others listen, sense, monitor, and/or control. A few are even capable of near-human-like interaction. In many cases these devices are continuously capturing and processing a lot of data that only gets used once before being archived in some sort of log-file or even dumped. This isn't necessarily a bad thing, since the data often has a very short shelf-life, and it isn't always needed for historical reporting as much as it is needed for generating timely insights and alerts.

Vertica release improves performance, adds Hadoop and Spark support. Hewlett Packard Enterprise announced August 30 at its HPE Big Data Conference in Boston that it's making its library of machine learning services easier for developers to build into smart, "cognitive" applications through Haven OnDemand Combinations. In a second announcement at the event, HPE unveiled Vertica 8.0, the next release of the company's high-scale analytical database. Haven OnDemand is in the white-hot category of machine learning services. It's a domain that has seen dozens of acquisitions in recent years, led by leading tech companies including Amazon, Google, IBM, Intel, Microsoft and Salesforce. How will HPE differentiate Haven OnDemand as the big public cloud companies deepen their portfolios?

Hewlett Packard Enterprise Co. (HPE) has updated its Vertica analytics suite while introducing new machine learning capabilities to Haven OnDemand. Vertica is software that analyzes structured data, for example information that's stored in rows and fields. But with the new update, Vertica 8, codenamed "Frontloader", HPE has introduced a unified architecture as well as in-database analytics capabilities. According to HPE, Vertica 8 has been designed to help customers extract intelligence from data that resides in multiple silos throughout the data center, be it on-premises, in private and public clouds, or in Hadoop data lakes. Meanwhile, Vertica's new in-database machine learning algorithms enable users to create and deploy R-based machine learning models directly inside the software.

PALO ALTO, CA--(Marketwired - Aug 30, 2016) - Hewlett Packard Enterprise (NYSE: HPE) today announced the availability of HPE Haven OnDemand (HoD) Combinations, a new cloud-based offering built on the HPE Haven OnDemand platform that enables developers to apply the power of machine learning to build next generation applications. The new offering provides a pre-built catalogue of cognitive services and an intuitive drag and drop interface. Developers can chain together multiple machine learning APIs into combinations and copy and paste the code directly into their development projects, to quickly and easily create breakthrough mobile and enterprise applications. "HPE HoD Combinations represents the next step in our vision to democratize machine learning for mainstream developers and help them build the next generation of cognitive applications," said Fernando Lucini (@fernandolucini), Chief Technology Officer, Big Data Platform, HPE Software. "Through HPE HoD Combinations, enterprise developers now have access to the building blocks required to take their application development to the next level through an easy and intuitive solution."

Hewlett Packard Enterprise's Haven OnDemand offers businesses and developers a self-service, cognitive API toolkit to create data rich applications. Haven OnDemand runs on the HPE Helion cloud and enables customers to analyse all forms of data, including business data, machine data, and unstructured, human information. Since its beta launch in 2014, thousands of developers worldwide have leveraged the platform to create a vast range of applications. The Haven OnDemand Developer Community now has over 12,000 members and the Hewlett Packard Enterprise continue to offer the service as a freemium model, where developers can build and test for free, making it accessible to early-stage start ups. HPE now offers over 70 cutting-edge machine learning APIs, allowing businesses to harness the true business value of their data through a comprehensive set of use-cases including anomaly detection and insights from text, audio, video and images.

You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding. To meet this mandate, Hewlett Packard Enterprise Co. (HPE) has developed Haven OnDemand, which offers the latest technology in a simplified platform for developers. Jeff Veis, VP of Big Data Platform Solutions, HP Software, at HPE, spoke to John Furrier (@furrier) and Dave Vellante (@dvellante), cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2016 Las Vegas to discuss Big Data and the needs of the enterprise. Furrier began the interview by asking Veis about the driving force behind the need for machine learning.

You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding. To meet this mandate, Hewlett Packard Enterprise Co. (HPE) has developed Haven OnDemand, which offers the latest technology in a simplified platform for developers. Jeff Veis, VP of Big Data Platform Solutions, HP Software, at HPE, spoke to John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2016 Las Vegas to discuss Big Data and the needs of the enterprise. Furrier began the interview by asking Veis about the driving force behind the need for machine learning.

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.

Sprockets are turning……big day for Big Data in machine learning land at Hewlett Packard Enterprise! Today Haven OnDemand, our industry leading machine learning as a service, crossed the 15,000 user threshold! This innovative offering that has created quite a stir, released with full commercial enterprise support on March 10th, it is attracting interest from forward-thinking developers small and large across the globe. Available today to any developer as a freemium version – yup it costs nada! Even comes with a "Try It!" button so you can see in seconds precisely how it works and how it can be integrated into virtually any application.

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.