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IoT Wireless I/O Solutions : Providing IoT Wireless Sensing Devices with Direct Cloud Accessibility
| August 20, 2018
Flutura is a pioneering pure-play big data science company focused sharply at the intersect of man, machine, and big data.
Article | April 3, 2020
One might be forgiven for thinking that Google had enough operating systems. Other than Android, Google also owns Chrome OS and Google Fuchsia – the latter of which isn’t even finished yet! But then came murmurs of a project called Pigweed, following a Google trademark that surfaced in February this year. At first, speculation was rife that this was yet another operating system, due to wording that described it as “computer operating software.” Now we know that is not the case. So what is Google Pigweed? In a recent blog post, Google officially threw back the curtain. Google Pigweed, it turns out, is a collection of embedded platform developer tools for development on 32-bit microcontrollers. Effectively, these are libraries targeted at Internet of Things (IoT) applications.
Big data as a term and a field, has been around for some time. It relates to the ways in which we study, analyze and process data sets that are too large to be handled by traditional data-processing software. Data can be described as ‘big’ when it demonstrates the four ‘V’ qualities: veracity (accuracy), velocity (speed), volume (size) and variety (both structured and unstructured). IoT, on the other hand, came much later and relates to devices, data and marrying them together. This area looks at making devices ‘smart’ (anything from watches to kettles) and collecting data about their performance or usage to influence consumer behavior.
5 years ago, when we forecasted that the IoT platforms market would have a 5-year compound annual growth rate (CAGR) of 35%, we wondered if our growth projection was unrealistically high.
5 years later, it has become apparent that the forecast was actually too low. The IoT Platforms market between 2015 and 2020 grew to be $800 million larger than we forecasted back in early 2016, resulting in a staggering 48% CAGR.
Comparing what we “knew” back in 2016 to what we know today provides some clues as to why the market exceeded expectations so much. 5 years ago, no one really knew what an IoT platform was, let alone how big the market would be, which business models would work, how architectures would evolve, and which companies/industries would adopt them. The only thing that was “known” was that the IoT platforms market was a billion dollar “blue ocean” opportunity ready to be captured by innovative companies.
This post will cover various important sensors that are possibilities for an IoT deployment. Sensors are the backbone of any IoT deployment. They gather information and provide software with sensory information it needs to achieve its full potential. In addition, this post will go over considerations and decision-making for selecting sensors in an IoT deployment. Often times, a single sensor is not the best implementation, a suite of sensors can gather more data and even affect behavior for other sensors. In many cases, more than one sensor is necessary to perform the IoT deployment’s function. Sensors are just as critical to every IoT application as the internet. Imagine Alexa or Google Home without a microphone: it wouldn’t work. People wouldn’t be able to interact with the device, or it would need some other kind of sensor such as a keyboard to obtain input from a user.
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