Software Intel® IoT Platform
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Intel® IoT Platform

Intel® IoT Platform
IoT Application
January, 2014 (5 years ago)
January, 2014 (5 years ago)
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The Intel® IoT Platform is an end-to-end reference model and family of products from Intel, that works with third party solutions to provide a foundation for seamlessly and securely connecting devices, delivering trusted data to the cloud, and delivering value through analytics.
Security: Deliver trusted data with a tight integration of hardware- and software-based security that starts where data is most resilient to attack.

Interoperability: Utilize technologies that seamlessly communicate to one another, help accelerate time to market, and reduce the cost of deploying and maintaining IoT solutions.

Scalability: Achieve scalable compute from edge to cloud with processors from Intel® Quark™ to Intel® Xeon® and Intel®-based devices, gateways, and datacenter solutions.

Manageability: Get advanced data management and analytics from sensor to datacenter.

The Intel IoT Platform helps deliver innovations to market faster, reducing solution complexity and delivering actionable intelligence by offering a defined, repeatable foundation for how devices will connect and deliver trusted data to the cloud. And it allows OEMs, SIs, and vertical industries to develop and deploy solutions using building blocks on the Intel IoT Platform.

These solutions help provide a repeatable foundation for the Internet of Things and free up developers' time to focus on building solutions that expertly address specific customer pain points.

With the Intel IoT Platform, Intel helps IoT innovations get to market faster and allows IoT to reach its full potential worldwide.
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Number of Case Studies2
Machine Learning Helps Intel Rediscover Their Customer Demographic
Machine Learning Helps Intel Rediscover Their Customer Demographic
Intel’s sales and marketing organization strives to increase communications with resellers relating to new industry segments as they evolve and to encourage resellers to join webinars or conferences to gain a better understanding of Intel’s offerings for these new markets. Because sales and marketing teams must focus their resources on those resellers with the highest probability of generating sales, sending the right message to the right reseller helps drive value for the sales pipeline. We needed a machine-learning system to help our sales and marketing teams identify the best prospects within Intel’s large pool of resellers.
Employing Intel Deep Learning SDK Toward Bettering Image Recognition Models
Employing Intel Deep Learning SDK Toward Bettering Image Recognition Models
In this case study, the challenge explored involves LeNet*, one of the prominent image recognition topologies for handwritten digit recognition.   In the case study, we dive into how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
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