When contemplating an IoT project, most organizations realize that they will need to journey down roads that are completely new to them and develop an enterprise IoT approach unique to their situation.
There's a lot to be explored and learned before any IoT product or service can be successfully conceived and deployed. Just keeping track of what unfamiliar disciplines need to be embraced (for example, programming or mobile connectivity at scale) requires that each organization makes sure it has a conceptual architecture or stack for its vision of IoT.
There's no single picture that covers every company's IoT approach, but there are nevertheless challenges and requirements that are common to almost every enterprise IoT project. Here, we consider four such common themes as they've appeared in recent coverage.
1An enterprise IoT approach-
The enterprise IoT model
The enterprise stands to gain from IoT both in deploying it internally -- for logistics, manufacturing and retail environments, not to mention just controlling the HVAC -- and in creating the next generation of its products with "smart" capabilities. Just as building businesses and applications on the web required the creation of sophisticated web stacks that tied a number of different elements (and areas of expertise) together, the IoT era will force the creation of common IoT layered models. It's not too soon to begin thinking strategically about which layers are needed and whether current IT teams have staff with the requisite skills on board to build the best IoT approach possible.
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How to use the cloud to connect to IoT devices with back-end application is important for companies looking toward the future. Continue Reading
2Staying safe and connected-
The IoT security plane
The IT department has been holding itself up to the measure of adequate security and finding itself wanting for 30 years and more. In the realm of IoT devices, it enters a world where lots of designers and developers don't seem to have security on the requirement list. Beyond the vulnerabilities of small, embedded systems (sometimes running Linux and pushed into production still using default root passwords), identity and authentication from app to thing and from one service to another remain huge attack surfaces for the next generation of hackers to exploit. Building security into your enterprise IoT approach is critical.
MIT Sloan cybersecurity expert Stuart Madnick talks about clear and present dangers in an IoT-enabled world. Continue Reading
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3An edge IoT approach-
Edge interaction gateways
The cloud is a great thing, but it's not the only thing. Particularly in the case of large-scale IoT deployments, it sometimes makes sense to consider things almost in reverse from the common view. Rather than thinking about how the cloud application will keep tabs on all the devices, think instead about how far a device needs to reach before it communicates with the other devices or hubs it most needs to interact with. If the most immediate transactions are occurring entirely in a local scope, that's the moment to start thinking about moving to an edge IoT approach.
With user demand for low-latency, high-performing applications, delegates at Datacloud Europe 2016 hail edge datacentres as the answer Continue Reading
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The increasing expectation for high quality content and the growth of IoT will be helped as edge computing brings nodes closer to end users. Continue Reading
The rapid development of IoT poses certain threats to the data center, like chaos and added storage demands. How do you plan for such a surge of new technology? Continue Reading
4Enterprise IoT analytics-
Analytics for additional value
Right now, our dominant vision of what the internet "is" is the human interaction of readers and websites. In a few years, though, we may come to think of the internet as the machine that reads and processes the entirety of all the sensor-reading data in the world (plus transmissions from a few planetary explorer missions). The value of this machine will depend entirely on its ability to create meaning from data mass. As with all of the internet, there won't be a master plan, just individual organizations and governments finding ways to tease huge data sets for insight. There are enormous opportunities -- and unsettling privacy threats -- to be considered here.
With all the hype about the Internet of Things, many businesses are wondering how they can get value out of IoT investments. One critical component is effective data analytics. Continue Reading
Process manufacturers are using predictive analytics tools to assess the makeup of chemicals, minerals and other raw materials to make sure they meet production requirements. Continue Reading
Enterprise gets more from its data and better predictive analytics with capable machine learning, but this AI still isn't good enough at finding meaningful patterns in data. Continue Reading
Big data analytics processes on data from sensors and log files can propel users to competitive advantages, but a lot of refining is required first. Continue Reading