Internet of Things
business optimization or advancement. Yet the same report suggests that as this data is applied in these other areas, the IoT will have a “total potential economic impact of $3.9 trillion to $11.1 trillion [USD] a year by 2025,” and that the top end of that range is “equivalent to about 11 percent of the world economy.”
A Platform Designed for Results To help original equipment manufacturers, developers, software ven- dors, and system integrators bring IoT visions to reality and win more business, Intel and the Alliance offer a comprehensive set of products and services based on the Intel®
• Penn Medicine is working with Intel to advance healthcare analytics with a solution that combines patient vital signs, lab records, and medications to develop predictive models. With TAP, Penn Medicine is building better models for predicting health risk.
• Oregon Health & Science University (OHSU) and Intel are developing the Collaborative Cancer Cloud, a Big Data analytics solution enabling hospitals to securely share patient genomic data to enable potentially lifesaving discoveries. The deployment collects more than 3 million records per day and has already accumulated more than 360 million records.
IoT Platform. This platform – intro-
duced in 2014 and covered in past issues of Embedded Innovator magazine – includes IoT reference architectures for connecting legacy and smart devices, as well as a product portfolio of IoT-ready technol- ogies from Intel and its ecosystem. The result is an easily customized IoT foundation for implementing end-to-end solutions.
In November 2015, Intel introduced a new Intel IoT Platform ref- erence architecture and new hardware and software products as part of its effort to build out one of the most comprehensive offerings for the IoT marketplace. The new Intel IoT Platform ref- erence architecture for smart and connected things is focused on enabling the broad Intel ecosystem to easily develop, secure, and integrate smart things.
The platform provides a blueprint for delivering innovations to market faster by reducing complexity and defining how smart devices will securely connect and share trusted data to the cloud. Multinational enterprise software company SAP* is already applying this new Intel IoT Platform, along with its SAP HANA Cloud Platform*, to develop comprehensive IoT enterprise end-to-end solutions.
A new product added to the platform portfolio is the Trusted Analytics Platform (TAP). This open-source project initiated by Intel simplifies and accelerates the creation of secure, high-per- formance Big Data analytics applications in cloud environ- ments (Figure 1). TAP includes the necessary tools, algorithms, and engines that make it easier for developers to collaborate with data scientists in conducting advanced analytics in a shared environment.
Data scientists are finding TAP valuable in pilot projects for appli- cations in manufacturing, healthcare, retail, oil and gas, energy, and other industries:
• Honeywell is using TAP in a proof of concept (PoC) to collect data from wearable sensors on firefighters, miners, and first responders, including location, heart rate, body position, and carbon dioxide level. To aid real-time decision-making, TAP performs stream processing on the data and sends alerts to a dashboard.
• Levi Strauss and Co. is collaborating with Intel to securely collect data from in-store inventory via RFID tagging and then perform analytics on it. The more accurate data and the resulting insights will help Levi Strauss improve the shopping experience.
6 | 2016 | 13th Edition | Embedded Innovator Taking Intel® Technology Farther Out on the Edge
The recently introduced Intel IoT Platform includes the Wind River Helix Cloud, a cloud suite from the Intel subsidiary Wind River. The suite includes Wind River* Rocket* and Wind River Pulsar* Linux* – two free cloud-connected, multi-architecture operating systems (OSs) – plus a comprehensive selection of software-as-a-service (SaaS) products. With this offering, Wind River not only grows its presence in the cloud,
Application Layer
Domain-specific Apps Catalogs
Built-in Apps Controllers Runtimes Distributed Messaging Analytics Layer Dev Kit Data Layer KV RDBMS Doc Column Graph
Distributed Processing Distributed File System
API Server Distributed Algorithms & Engines
AWS Appliance Figure 1.
The Trusted Analytics Platform (TAP) is an open-source project initiated by Intel that simplifies and accelerates the creation of secure, high-performance Big Data analytics applications in cloud environments.
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intel.com/embedded-innovator
Security, Management, Orchestration
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