MDM9207-1 Delivering LTE to the Internet of Everything

Qualcomm Technologies, Inc. (QTI) continues to lead the IoT revolution with a newly expanded chipset portfolio. The MDM9207-1 o¬ers device makers, system integrators, and developers a commercially proven chipset platform with industry-leading 3G/4G LTE multimode and multiband support, designed to bring reliable cellular connectivity on major network carriers worldwide. With Category 1 support, power and throughput optimization, and other customizable features, the MDM9207-1 connects a growing array of devices and systems within the Internet of Things. It’s all in a highly integrated package engineered with scalability across the chipset platform to reduce bill-of-materials (BOM) costs, design complexity, and integration time.

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Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

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Secure Elements deliver scalable trust for IoT applications

Infographic | January 20, 2020

Secure Elements are a standard technlogy that integrate new GSMA specifications, IoT SAFE initiative providing an interoperable and scalable security framework. Mutual trust between the cloud and IoT devices is built on the Transport Layer Security (TLS) handshake protocol

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Manufacturing IOT Trends & Spend - IIOT Infographic

Infographic | December 18, 2019

IOT trends in Manufacturing: unlock deep insights about Information Technology (IT) and Operational Technology (OT) aspects in the Manufacturing process with the Internet of Things (IOT) using Machine Learning. Sensors on equipment, assets, and the production line can provide insights that streamline business processes and significantly reduce costs.

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The 3 phases of an effective IoT strategy

Infographic | June 1, 2021

IoT is quickly becoming the most important business revolution of the digital age, with its implications being felt across all industries worldwide. However, unlocking the true potential of IoT requires not only a clear roadmap with specific objectives, but also a solid front-end and back-end infrastructure that's capable of making sense of the data obtained. It's for this reason that both public and private organizations sometimes struggle when implementing a successful IoT strategy and fail to reach the desired return-on-investment (ROI). To address the risks you may encounter with IoT, we've created this short, insightful infographic. After reading it, you'll have a better idea of the tools and actions you should be executing during each of the three stages of IoT implementation to overcome challenges and maximize effectiveness. You'll also obtain a straightforward checklist that your teams can refer to when establishing or optimizing their strategies.

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The Internet of Things (IoT) in a Smart Building

Infographic | December 1, 2019

The definition of what these ‘things’ are can be fuzzy and is constantly evolving. The IoT also overlaps with previous concepts like computing, wireless sensor networks and cyber-physical systems. Below is an illustration of IoT devices found within a typical smart building network and how these systems communicate with one another.

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Privacy guidelines for IoT – what you need to know

Infographic | February 8, 2020

The government has now confirmed that the UK will be implementing the EU General Data Protection Regulation (GDPR). To this end, Nominet has created an infographic based on the GDPR and Information Commissioner’s Office (ICO’s) Code of Practice on privacy notices, transparency and control [2] to serve as a guideline when developing IoT solutions.

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Application Layer Protocols for Networking

Infographic | July 11, 2023

Unveiling essential application layer protocols: Understand their role in facilitating seamless communication and data exchange in computer networks.

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Spotlight

Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

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