How to Make the Most of IoT (Internet of Things) Insights

By now, you’ve likely noticed that everyday household items such as LED light bulbs, toys and washing machines are evolving and their capabilities reach far beyond their original intention. These items are now called “smart objects” and they are key components of the “Internet of Things”. It is predicted that by 2020, the world’s population will be connected to approximately 50 billion smart objects. We predict these devices will produce data that will greatly enhance the real-time insights available to Market Researchers and their clients and will challenge conventional thinking around data collection. In this webinar, guest speaker, Thomas Husson, Vice President and Principal Analyst, Forrester Research, Inc.
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OTHER ON-DEMAND WEBINARS

Clarifying the Industrial IoT - Part 5: The IIoT Security Challenge

rti

Unfortunately, the IoT makes every part of nearly every system vulnerable to network attack. The IoT could easily be called the IoT the Internet of Targets. The IoT is a brave new world for risk management.
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Empowering IoT Solutions On-Demand Webinar

Semtech

Join this on-demand webinar to learn how you can quickly implement your own long-range, low-power IoT solutions with LoRa Technology and the MachineQ™ secure and scalable Cloud-based IoT management platform.
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5 Cool Things You Can Do With WSO2 IoT Server

WSO2 IoT Server is an open source IoT platform released under the Apache license 2.0. It brings together WSO2’s battle hardened technologies from identity and access management, analytics, integration and API management domains to craft a fully-fledged device management framework capable of addressing any industrial IoT scenario.
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AI & IoT at the cutting edge - when to move intelligence to the cloud and closer to the action

ADLINK Technology

Operational intelligence does not come just by connecting machines; it requires advanced analytics to sort the data and recommend a course of action. Many critical use cases at the edge can’t wait for the cloud. Instead, they demand insights and decisioning at the source, where the data is generated.
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