Hewlett Packard Enterprise’s HPE Universal IoT Platform Simplifies Connectivity across the IoT Ecosystem

Hewlett Packard Enterprise announced the availability of the HPE Universal Internet of Things (IoT) Platform.

As the IoT market expands and organizations extend their networks to connect a broad range of devices, communications service providers and enterprises require horizontal solutions to connect and manage devices and applications, while meeting the scalability and versatility requirements of IoT operators. The HPE Universal IoT Platform enables the ability to add new functionality and benefits.

The HPE Universal IoT Platform is aligned with the oneM2M industry standard and is designed to be industry and vendor-agnostic, enabling IoT operators to simultaneously manage heterogeneous sets of sensors, operate vertical applications on machine-to-machine (M2M) devices, as well as process, analyze and monetize collected data in a single secure cloud platform. The HPE Universal IoT Platform provides increased support for long range, low power connectivity, ensuring that LoRa and SIGFOX deployments can be supported alongside other connectivity protocols, including cellular, radio, Wi-Fi and Bluetooth. Additional enhancements to the HPE Universal IoT Platform include:

• Multi connectivity - communication over different types of underlying networks, to acquire IoT data and maintain it in a consistent data model aligned with the oneM2M standard.

• Device Management - standardized device lifecycle management (oneM2M) across disparate IoT gateways, devices and underlying networks.

• Mashup - ability to enrich data from the devices with external data sources, so developing contextual data that provides greater insight.

• Developer Portal - sophisticated application development environment for developers and partners.

• Data analytics - discovers meaningful patterns in data collected from sensors to derive valuable business insights using HPE Vertica and HPE Haven OnDemand.

• Enhance Data Security - utilizes key exchanges and Codec libraries to interpret data flows in a secure manner.

Keywords: Internet of Things (IoT), Cloud Platform, Machine-To-Machine (M2M), Data Analytics, Data Security, ARC Advisory Group.